Fingerprints Theorems. - Alan L. Yuille; Tomaso A. Poggio (AAAI, 1984)

The Smoothest Velocity Field Token Matching Schemes. - Alan L. Yuille (ECAI, 1984)

An Extremum Principle for Shape from Contour. - Michael Brady 001; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 1984)

Describing surfaces. - Michael Brady 001; Jean Ponce; Alan L. Yuille; Haruo Asada (Comput. Vis. Graph. Image Process., 1985)

Scaling Theorems for Zero Crossings. - Alan L. Yuille; Tomaso A. Poggio (IEEE Trans. Pattern Anal. Mach. Intell., 1986)

Determining The Optimal Weights In Multiple Objective Function Optimization. - Michael A. Gennert; Alan L. Yuille (ICCV, 1988)

The Creation Of Structure In Dynamic Shape. - Alan L. Yuille (ICCV, 1988)

The Motion Coherence Theory. - Alan L. Yuille; Norberto M. Grzywacz (ICCV, 1988)

A regularized solution to edge detection. - Tomaso A. Poggio; Harry Voorhees; Alan L. Yuille (J. Complex., 1988)

Spontaneous symmetry-breaking energy functions, orientation selective cortical cells, and hypercolumnar cell assemblies. - Alan L. Yuille; Daniel M. Kammen (Neural Networks, 1988)

A depth recovery algorithm using defocus information. - Ten-lee Hwang; James J. Clark; Alan L. Yuille (CVPR, 1989)

Zero crossings on lines of curvature. - Alan L. Yuille (Comput. Vis. Graph. Image Process., 1989)

A mathematical analysis of the motion coherence theory. - Alan L. Yuille; Norberto M. Grzywacz (Int. J. Comput. Vis., 1989)

An Analysis of the Elastic Net Approach to the Traveling Salesman Problem. - Richard Durbin; Richard Szeliski; Alan L. Yuille (Neural Comput., 1989)

A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback. - Alan L. Yuille; Norberto M. Grzywacz (Neural Comput., 1989)

A Model for the Estimate of Local Velocity. - Norberto M. Grzywacz; Alan L. Yuille (ECCV, 1990)

Deformable Templates for Feature Extraction from Medical Images. - P. Lipson; Alan L. Yuille; D. O'Keeffe; J. Cavanaugh; J. Taaffe; D. Rosenthal (ECCV, 1990)

Stereo Integration, Mean Field Theory and Psychophysics. - Alan L. Yuille; Davi Geiger; Heinrich H. Bülthoff (ECCV, 1990)

Shape from shading via the fusion of specular and Lambertian image components. - James J. Clark; Alan L. Yuille (ICPR (1), 1990)

3D symmetry-curvature duality theorems. - Alan L. Yuille; Michael Leyton (Comput. Vis. Graph. Image Process., 1990)

Stereo and controlled movement. - Alan L. Yuille; Davi Geiger (Int. J. Comput. Vis., 1990)

Generalized Deformable Models, Statistical Physics, and Matching Problems. - Alan L. Yuille (Neural Comput., 1990)

Sources from shading. - Yihing Yang; Alan L. Yuille (CVPR, 1991)

A common framework for image segmentation. - Davi Geiger; Alan L. Yuille (Int. J. Comput. Vis., 1991)

Grouping Iso-Velocity Points for Ego-Motion Recovery. - Yibing Yang; Alan L. Yuille (AAAI, 1992)

Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. - Tai Sing Lee; David Mumford; Alan L. Yuille (ECCV, 1992)

Self-Organizing Rules for Robust Principal Component Analysis. - Lei Xu 001; Alan L. Yuille (NIPS, 1992)

Feature extraction from faces using deformable templates. - Alan L. Yuille; Peter W. Hallinan; David S. Cohen (Int. J. Comput. Vis., 1992)

Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning. - Lei Xu 001; Stan Klasa; Alan L. Yuille (Int. J. Neural Syst., 1992)

Statistical morphology and Bayesian reconstruction. - Alan L. Yuille; Luc Vincent; Davi Geiger (J. Math. Imaging Vis., 1992)

Local, global, and multilevel stereo matching. - Yibing Yang; Alan L. Yuille; Jie Lu (CVPR, 1993)

Multilevel Detection of Stereo Disparity Surfaces. - Yibing Yang; Alan L. Yuille (Partitioning Data Sets, 1993)

Bayesian Self-Organization. - Alan L. Yuille; Stelios M. Smirnakis; Lei Xu 001 (NIPS, 1993)

Mean-field phase transitions and correlation functions for Gibbs random fields. - Ibrahim M. Elfadel; Alan L. Yuille (J. Math. Imaging Vis., 1993)

Impossible Shaded Images. - Berthold K. P. Horn; Richard Szeliski; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Training a General Purpose Deformable Template. - Russell Epstein; Alan L. Yuille (ICIP (1), 1994)

A Framework for Shape Representation and Recognition. - Song Chun Zhu; Alan L. Yuille (ICIP (1), 1994)

Statistical Physics Algorithms That Converge. - Alan L. Yuille; J. J. Kosowsky (Neural Comput., 1994)

Statistical Physics, Mixtures of Distributions, and the EM Algorithm. - Alan L. Yuille; Paul E. Stolorz; Joachim Utans (Neural Comput., 1994)

The invisible hand algorithm: Solving the assignment problem with statistical physics. - J. J. Kosowsky; Alan L. Yuille (Neural Networks, 1994)

Spatiotemporal information storage in a content addressable memory using realistic neurons. - Masakazu Matsugu; Alan L. Yuille (Neural Networks, 1994)

On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size. - Lei Xu 001; Adam Krzyzak; Alan L. Yuille (Neural Networks, 1994)

Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns. - Peter N. Belhumeur; Alan L. Yuille (ICCV, 1995)

Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. - Song Chun Zhu; Tai Sing Lee; Alan L. Yuille (ICCV, 1995)

Parameterized Surface Fitting via MAP Estimation for Binocular Stereo. - Michael J. Weisman; Alan L. Yuille; James J. Clark (ICRA, 1995)

Multilevel Enhancement and Detection of Stereo Disparity Surfaces. - Yibing Yang; Alan L. Yuille (Artif. Intell., 1995)

Occlusions and binocular stereo. - Davi Geiger; Bruce Ladendorf; Alan L. Yuille (Int. J. Comput. Vis., 1995)

Bayesian Self-Organization Driven by Prior Probability Distributions. - Alan L. Yuille; Stelios M. Smirnakis; Lei Xu 001 (Neural Comput., 1995)

Robust principal component analysis by self-organizing rules based on statistical physics approach. - Lei Xu 001; Alan L. Yuille (IEEE Trans. Neural Networks, 1995)

Learning Object Representation form Lighting Variations. - Russell Epstein; Alan L. Yuille; Peter N. Belhumeur (Object Representation in Computer Vision, 1996)

A Convergence Proof for the Softassign Quadratic Assignment Algorithm. - Anand Rangarajan 001; Alan L. Yuille; Steven Gold; Eric Mjolsness (NIPS, 1996)

FORMS: A flexible object recognition and modelling system. - Song Chun Zhu; Alan L. Yuille (Int. J. Comput. Vis., 1996)

Dimension reduction, generalized deformable models and the development of ocularity and orientation. - Alan L. Yuille; James A. Kolodny; C. W. Lee (Neural Networks, 1996)

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. - Song Chun Zhu; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Surface Shape from Warping. - Alan L. Yuille; Mario Ferraro; Tony Zhang (CVPR, 1997)

Shape and albedo from multiple images using integrability. - Alan L. Yuille; Daniel Snow (CVPR, 1997)

Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies. - Alan L. Yuille; James M. Coughlan (EMMCVPR, 1997)

Relating Image Warping to 3D Geometrical Deformations. - Alan L. Yuille; Mario Ferraro; Tony Zhang (ICIAP (1), 1997)

Efficient Optimization of a Deformable Template Using Dynamic Programming. - James M. Coughlan; Alan L. Yuille; Camper English; Daniel Snow (CVPR, 1998)

Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence. - Alan L. Yuille; Pierre-Yves Burgi; Norberto M. Grzywacz (ICCV, 1998)

Signfinder: Using Color to Detect, Localize and Identify Informational Signs. - Alan L. Yuille; Daniel Snow; Mark Nitzberg (ICCV, 1998)

Segmenting by seeking the symmetry axis. - Tyng-Luh Liu; Davi Geiger; Alan L. Yuille (ICPR, 1998)

A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations. - James M. Coughlan; Alan L. Yuille (NIPS, 1998)

Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours. - Alan L. Yuille; James M. Coughlan (NIPS, 1998)

Image Warping for Shape Recovery and Recognition. - Alan L. Yuille; Mario Ferraro; Tony Zhang (Comput. Vis. Image Underst., 1998)

Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. - Scott Konishi; Alan L. Yuille; James M. Coughlan; Song Chun Zhu (CVPR, 1999)

High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help? - Alan L. Yuille; James M. Coughlan (CVPR, 1999)

Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking. - James M. Coughlan; Alan L. Yuille (EMMCVPR, 1999)

Manhattan World: Compass Direction from a Single Image by Bayesian Inference. - James M. Coughlan; Alan L. Yuille (ICCV, 1999)

Shadows, Shading, and Projective Ambiguity. - Peter N. Belhumeur; David J. Kriegman; Alan L. Yuille (Shape, Contour and Grouping in Computer Vision, 1999)

The Bas-Relief Ambiguity. - Peter N. Belhumeur; David J. Kriegman; Alan L. Yuille (Int. J. Comput. Vis., 1999)

Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability. - Alan L. Yuille; Daniel Snow; Russell Epstein; Peter N. Belhumeur (Int. J. Comput. Vis., 1999)

Convergence Properties of the Softassign Quadratic Assignment Algorithm. - Anand Rangarajan 001; Alan L. Yuille; Eric Mjolsness (Neural Comput., 1999)

Statistical cues for Domain Specific Image Segmentation with Performance Analysis. - Scott Konishi; Alan L. Yuille (CVPR, 2000)

Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? - Alan L. Yuille; James M. Coughlan; Song Chun Zhu; Ying Nian Wu (CVPR, 2000)

The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference. - James M. Coughlan; Alan L. Yuille (NIPS, 2000)

Efficient Deformable Template Detection and Localization without User Initialization. - James M. Coughlan; Alan L. Yuille; Camper English; Daniel Snow (Comput. Vis. Image Underst., 2000)

Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I. - Song Chun Zhu; Alan L. Yuille; David Mumford (Int. J. Comput. Vis., 2000)

Probabilistic Motion Estimation Based on Temporal Coherence. - Pierre-Yves Burgi; Alan L. Yuille; Norberto M. Grzywacz (Neural Comput., 2000)

Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking. - Alan L. Yuille; James M. Coughlan (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

An A* perspective on deterministic optimization for deformable templates. - Alan L. Yuille; James M. Coughlan (Pattern Recognit., 2000)

A Double-Loop Algorithm to Minimize the Bethe Free Energy. - Alan L. Yuille (EMMCVPR, 2001)

The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints. - Alan L. Yuille; James M. Coughlan; Scott Konishi (ICCV, 2001)

The g Factor: Relating Distributions on Features to Distributions on Images. - James M. Coughlan; Alan L. Yuille (NIPS, 2001)

MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. - Anand Rangarajan 001; Alan L. Yuille (NIPS, 2001)

The Concave-Convex Procedure (CCCP). - Alan L. Yuille; Anand Rangarajan 001 (NIPS, 2001)

Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help? - Alan L. Yuille; James M. Coughlan; Ying Nian Wu; Song Chun Zhu (Int. J. Comput. Vis., 2001)

Introduction by Guest Editors. - Alan L. Yuille; Song Chun Zhu; David Mumford (Int. J. Comput. Vis., 2001)

Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking. - James M. Coughlan; Alan L. Yuille (Neural Comput., 2002)

CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation. - Alan L. Yuille (Neural Comput., 2002)

A Generative Model Based Approach to Motion Segmentation. - Daniel Cremers; Alan L. Yuille (DAGM-Symposium, 2003)

A Bayesian Network Framework for Relational Shape Matching. - Anand Rangarajan 001; James M. Coughlan; Alan L. Yuille (ICCV, 2003)

Human and Ideal Observers for Detecting Image Curves. - Alan L. Yuille; Fang Fang 003; Paul R. Schrater; Daniel J. Kersten (NIPS, 2003)

Algorithms from statistical physics for generative models of images. - James M. Coughlan; Alan L. Yuille (Image Vis. Comput., 2003)

A statistical approach to multi-scale edge detection. - Scott Konishi; Alan L. Yuille; James M. Coughlan (Image Vis. Comput., 2003)

Manhattan World: Orientation and Outlier Detection by Bayesian Inference. - James M. Coughlan; Alan L. Yuille (Neural Comput., 2003)

The Concave-Convex Procedure. - Alan L. Yuille; Anand Rangarajan 001 (Neural Comput., 2003)

Statistical Edge Detection: Learning and Evaluating Edge Cues. - Scott Konishi; Alan L. Yuille; James M. Coughlan; Song Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

The Generic Viewpoint Assumption and Planar Bias. - Alan L. Yuille; James M. Coughlan; Scott Konishi (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Motion Estimation by Swendsen-Wang Cuts. - Adrian Barbu; Alan L. Yuille (CVPR (1), 2004)

Detecting and Reading Text in Natural Scenes. - Xiangrong Chen; Alan L. Yuille (CVPR (2), 2004)

Shape Matching and Recognition - Using Generative Models and Informative Features. - Zhuowen Tu; Alan L. Yuille (ECCV (3), 2004)

The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters. - Alan L. Yuille (NIPS, 2004)

The Convergence of Contrastive Divergences. - Alan L. Yuille (NIPS, 2004)

A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired. - Xiangrong Chen; Alan L. Yuille (CVPR Workshops, 2005)

Ideal Observers for Detecting Motion: Correspondence Noise. - Hongjing Lu; Alan L. Yuille (NIPS, 2005)

Augmented Rescorla-Wagner and Maximum Likelihood Estimation. - Alan L. Yuille (NIPS, 2005)

A Hierarchical Compositional System for Rapid Object Detection. - Long Zhu; Alan L. Yuille (NIPS, 2005)

The DLR Hierarchy of Approximate Inference. - Michal Rosen-Zvi; Michael I. Jordan; Alan L. Yuille (UAI, 2005)

Image Parsing: Unifying Segmentation, Detection, and Recognition. - Zhuowen Tu; Xiangrong Chen; Alan L. Yuille; Song Chun Zhu (Int. J. Comput. Vis., 2005)

Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models. - Iasonas Kokkinos; Petros Maragos; Alan L. Yuille (CVPR (2), 2006)

Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation. - Jason J. Corso; Eitan Sharon; Alan L. Yuille (MICCAI (2), 2006)

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. - Songfeng Zheng; Zhuowen Tu; Alan L. Yuille; Allan L. Reiss; Rebecca A. Dutton; Agatha D. Lee; Albert M. Galaburda; Paul M. Thompson; Ivo D. Dinov; Arthur W. Toga (MICCAI (1), 2006)

Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing. - Long Zhu; Yuanhao Chen; Alan L. Yuille (NIPS, 2006)

Unsupervised Learning of Object Deformation Models. - Iasonas Kokkinos; Alan L. Yuille (ICCV, 2007)

Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm. - Jason J. Corso; Zhuowen Tu; Alan L. Yuille; Arthur W. Toga (IPMI, 2007)

Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm. - Jason J. Corso; Alan L. Yuille; Nancy L. Sicotte; Arthur W. Toga (MICCAI (1), 2007)

Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing. - Yuanhao Chen; Long Zhu; Chenxi Lin; Alan L. Yuille; HongJiang Zhang (NIPS, 2007)

The Noisy-Logical Distribution and its Application to Causal Inference. - Alan L. Yuille; Hongjing Lu (NIPS, 2007)

Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. - Zhuowen Tu; Songfeng Zheng; Alan L. Yuille; Allan L. Reiss; Rebecca A. Dutton; Agatha D. Lee; Albert M. Galaburda; Ivo D. Dinov; Paul M. Thompson; Arthur W. Toga (IEEE Trans. Medical Imaging, 2007)

Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition. - Yuanhao Chen; Long Zhu; Alan L. Yuille; HongJiang Zhang (CVPR, 2008)

Graph-shifts: Natural image labeling by dynamic hierarchical computing. - Jason J. Corso; Alan L. Yuille; Zhuowen Tu (CVPR, 2008)

Scale invariance without scale selection. - Iasonas Kokkinos; Alan L. Yuille (CVPR, 2008)

Max Margin AND/OR Graph learning for parsing the human body. - Long Zhu; Yuanhao Chen; Yifei Lu; Chenxi Lin; Alan L. Yuille (CVPR, 2008)

Structure-perceptron learning of a hierarchical log-linear model. - Long Zhu; Yuanhao Chen; Xingyao Ye; Alan L. Yuille (CVPR, 2008)

08291 Abstracts Collection - Statistical and Geometrical Approaches to Visual Motion Analysis. - Daniel Cremers; Bodo Rosenhahn; Alan L. Yuille (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

Motion Integration Using Competitive Priors. - Shuang Wu; Hongjing Lu; Alan L. F. Lee; Alan L. Yuille (Statistical and Geometrical Approaches to Visual Motion Analysis, 2008)

Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. - Long Zhu; Chenxi Lin; Haoda Huang; Yuanhao Chen; Alan L. Yuille (ECCV (2), 2008)

MRF Labeling with a Graph-Shifts Algorithm. - Jason J. Corso; Zhuowen Tu; Alan L. Yuille (IWCIA, 2008)

Hierarchical segmentation of malignant gliomas via integrated contextual filter response. - Shishir Dube; Jason J. Corso; Alan L. Yuille; Timothy F. Cloughesy; Suzie El-Saden; Usha Sinha (Image Processing, 2008)

Model selection and velocity estimation using novel priors for motion patterns. - Shuang Wu; Hongjing Lu; Alan L. Yuille (NIPS, 2008)

Recursive Segmentation and Recognition Templates for 2D Parsing. - Leo Zhu; Yuanhao Chen; Yuan Lin; Chenxi Lin; Alan L. Yuille (NIPS, 2008)

Shape matching and registration by data-driven EM. - Zhuowen Tu; Songfeng Zheng; Alan L. Yuille (Comput. Vis. Image Underst., 2008)

Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification. - Jason J. Corso; Eitan Sharon; Shishir Dube; Suzie El-Saden; Usha Sinha; Alan L. Yuille (IEEE Trans. Medical Imaging, 2008)

Sobolev gradients and joint variational image segmentation, denoising, and deblurring. - Miyoun Jung; Ginmo Chung; Ganesh Sundaramoorthi; Luminita A. Vese; Alan L. Yuille (Computational Imaging, 2009)

HOP: Hierarchical object parsing. - Iasonas Kokkinos; Alan L. Yuille (CVPR, 2009)

Inference and learning with hierarchical compositional models. - Iasonas Kokkinos; Alan L. Yuille (CVPR Workshops, 2009)

Recursive compositional models: Representation, learning, and inference. - Long Zhu; Alan L. Yuille (CVPR Workshops, 2009)

Compositional noisy-logical learning. - Alan L. Yuille; Songfeng Zheng (ICML, 2009)

Modeling the spacing effect in sequential category learning. - Hongjing Lu; Matthew Weiden; Alan L. Yuille (NIPS, 2009)

Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation. - Yuanhao Chen; Long Zhu; Alan L. Yuille; HongJiang Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories. - Long Zhu; Yuanhao Chen; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Part and appearance sharing: Recursive Compositional Models for multi-view. - Long Zhu; Yuanhao Chen; Antonio Torralba 001; William T. Freeman; Alan L. Yuille (CVPR, 2010)

Latent hierarchical structural learning for object detection. - Long Zhu; Yuanhao Chen; Alan L. Yuille; William T. Freeman (CVPR, 2010)

Active Mask Hierarchies for Object Detection. - Yuanhao Chen; Long Zhu; Alan L. Yuille (ECCV (5), 2010)

Occlusion Boundary Detection Using Pseudo-depth. - Xuming He 001; Alan L. Yuille (ECCV (4), 2010)

Functional form of motion priors in human motion perception. - Hongjing Lu; Tungyou Lin; Alan L. F. Lee; Luminita A. Vese; Alan L. Yuille (NIPS, 2010)

Gaussian sampling by local perturbations. - George Papandreou; Alan L. Yuille (NIPS, 2010)

A unified model of short-range and long-range motion perception. - Shuang Wu; Xuming He 001; Hongjing Lu; Alan L. Yuille (NIPS, 2010)

Detecting object boundaries using low-, mid-, and high-level information. - Songfeng Zheng; Alan L. Yuille; Zhuowen Tu (Comput. Vis. Image Underst., 2010)

Classification of spatially unaligned fMRI scans. - Ariana E. Anderson; Ivo D. Dinov; Jonathan E. Sherin; Javier Quintana; Alan L. Yuille; Mark S. Cohen (NeuroImage, 2010)

Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing. - Long Zhu; Yuanhao Chen; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Nonflat observation model and adaptive depth order estimation for 3D human pose tracking. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (ACPR, 2011)

Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models. - George Papandreou; Alan L. Yuille (ICCV, 2011)

Computing importance of 2D contour parts by reconstructability. - Ge Guo 002; Yizhou Wang 001; Tingting Jiang 001; Alan L. Yuille; Wen Gao 001 (ICCV Workshops, 2011)

A compositional approach to learning part-based models of objects. - Roozbeh Mottaghi; Ananth Ranganathan; Alan L. Yuille (ICCV Workshops, 2011)

Efficient variational inference in large-scale Bayesian compressed sensing. - George Papandreou; Alan L. Yuille (ICCV Workshops, 2011)

Learning a dictionary of deformable patches using GPUs. - Xingyao Ye; Alan L. Yuille (ICCV Workshops, 2011)

Towards a theory of compositional learning and encoding of objects. - Alan L. Yuille (ICCV Workshops, 2011)

AdaBoost for Text Detection in Natural Scene. - Jung-Jin Lee; Pyoung-Hean Lee; Seong-Whan Lee; Alan L. Yuille; Christof Koch (ICDAR, 2011)

Inference and Learning with Hierarchical Shape Models. - Iasonas Kokkinos; Alan L. Yuille (Int. J. Comput. Vis., 2011)

Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation. - Long Zhu; Yuanhao Chen; Chenxi Lin; Alan L. Yuille (Int. J. Comput. Vis., 2011)

Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering. - Ariana E. Anderson; Jennifer E. Bramen; Pamela K. Douglas; Agatha Lenartowicz; Andrew Y. Cho; Chris Culbertson; Arthur L. Brody; Alan L. Yuille; Mark S. Cohen (Int. J. Imaging Syst. Technol., 2011)

Recursive Compositional Models for Vision: Description and Review of Recent Work. - Long Zhu; Yuanhao Chen; Alan L. Yuille (J. Math. Imaging Vis., 2011)

Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief. - Pamela K. Douglas; Sam Harris; Alan L. Yuille; Mark S. Cohen (NeuroImage, 2011)

Self-occlusion robust 3D human pose tracking from monocular image sequence. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (SMC, 2012)

Computer vision needs a core and foundations. - Alan L. Yuille (Image Vis. Comput., 2012)

A Family of CCCP Algorithms Which Minimize the TRW Free Energy. - Yu Nishiyama; Xingyao Ye; Alan L. Yuille (New Gener. Comput., 2012)

Recursive Segmentation and Recognition Templates for Image Parsing. - Long Zhu; Yuanhao Chen; Yuan Lin; Chenxi Lin; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Bottom-Up Segmentation for Top-Down Detection. - Sanja Fidler; Roozbeh Mottaghi; Alan L. Yuille; Raquel Urtasun (CVPR, 2013)

Boundary Detection Benchmarking: Beyond F-Measures. - Xiaodi Hou; Alan L. Yuille; Christof Koch (CVPR, 2013)

Robust Region Grouping via Internal Patch Statistics. - Xiaobai Liu; Liang Lin; Alan L. Yuille (CVPR, 2013)

Robust Estimation of Nonrigid Transformation for Point Set Registration. - Jiayi Ma 001; Ji Zhao 001; Jinwen Tian; Zhuowen Tu; Alan L. Yuille (CVPR, 2013)

An Approach to Pose-Based Action Recognition. - Chunyu Wang 001; Yizhou Wang 001; Alan L. Yuille (CVPR, 2013)

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. - Liang-Chieh Chen; George Papandreou; Alan L. Yuille (ICCV, 2013)

Complexity of Representation and Inference in Compositional Models with Part Sharing - Alan L. Yuille; Roozbeh Mottaghi (ICLR, 2013)

A Meta-Theory of Boundary Detection Benchmarks - Xiaodi Hou; Alan L. Yuille; Christof Koch (CoRR, 2013)

Adaptive occlusion state estimation for human pose tracking under self-occlusions. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (Pattern Recognit., 2013)

Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency. - Wenhao Lu; Xiaochen Lian; Alan L. Yuille (BMVC, 2014)

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. - Xianjie Chen; Roozbeh Mottaghi; Xiaobai Liu; Sanja Fidler; Raquel Urtasun; Alan L. Yuille (CVPR, 2014)

The Secrets of Salient Object Segmentation. - Yin Li 003; Xiaodi Hou; Christof Koch; James M. Rehg; Alan L. Yuille (CVPR, 2014)

The Role of Context for Object Detection and Semantic Segmentation in the Wild. - Roozbeh Mottaghi; Xianjie Chen; Xiaobai Liu; Nam-Gyu Cho; Seong-Whan Lee; Sanja Fidler; Raquel Urtasun; Alan L. Yuille (CVPR, 2014)

Modeling Image Patches with a Generic Dictionary of Mini-epitomes. - George Papandreou; Liang-Chieh Chen; Alan L. Yuille (CVPR, 2014)

Robust Estimation of 3D Human Poses from a Single Image. - Chunyu Wang 001; Yizhou Wang 001; Zhouchen Lin; Alan L. Yuille; Wen Gao 001 (CVPR, 2014)

Single Image Super-resolution Using Deformable Patches. - Yu Zhu 004; Yanning Zhang 001; Alan L. Yuille (CVPR, 2014)

A Fast and Simple Algorithm for Producing Candidate Regions. - Boyan Bonev 001; Alan L. Yuille (ECCV (3), 2014)

Towards Unified Object Detection and Semantic Segmentation. - Jian Dong; Qiang Chen 007; Shuicheng Yan; Alan L. Yuille (ECCV (5), 2014)

An Active Patch Model for Real World Texture and Appearance Classification. - Junhua Mao; Jun Zhu 001; Alan L. Yuille (ECCV (3), 2014)

Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations. - Xianjie Chen; Alan L. Yuille (NIPS, 2014)

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm. - Jun Zhu 001; Junhua Mao; Alan L. Yuille (NIPS, 2014)

Scale-Space SIFT flow. - Weichao Qiu; Xinggang Wang; Xiang Bai; Alan L. Yuille; Zhuowen Tu (WACV, 2014)

Explain Images with Multimodal Recurrent Neural Networks. - Junhua Mao; Wei Xu 017; Yi Yang 007; Jiang Wang 001; Alan L. Yuille (CoRR, 2014)

Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (CoRR, 2014)

Representing Data by a Mixture of Activated Simplices. - Chunyu Wang 001; John Flynn; Yizhou Wang 001; Alan L. Yuille (CoRR, 2014)

A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization. - Ge Guo 002; Yizhou Wang 001; Tingting Jiang 001; Alan L. Yuille; Fang Fang 003; Wen Gao 001 (Int. J. Comput. Vis., 2014)

Guest Editorial: Geometry, Lighting, Motion, and Learning. - Alan L. Yuille; Jiebo Luo 001 (Int. J. Comput. Vis., 2014)

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD. - Ariana E. Anderson; Pamela K. Douglas; Wesley T. Kerr; Virginia S. Haynes; Alan L. Yuille; Jianwen Xie; Ying Nian Wu; Jesse A. Brown; Mark S. Cohen (NeuroImage, 2014)

Robust Point Matching via Vector Field Consensus. - Jiayi Ma 001; Ji Zhao 001; Jinwen Tian; Alan L. Yuille; Zhuowen Tu (IEEE Trans. Image Process., 2014)

A Computational Model of Jazz Improvisation Inspired by Language. - Cody Komers; Alan L. Yuille (CogSci, 2015)

Parsing occluded people by flexible compositions. - Xianjie Chen; Alan L. Yuille (CVPR, 2015)

Region-based temporally consistent video post-processing. - Xuan Dong 001; Boyan Bonev 001; Yu Zhu 004; Alan L. Yuille (CVPR, 2015)

Towards unified depth and semantic prediction from a single image. - Peng Wang 001; Xiaohui Shen; Zhe Lin 001; Scott Cohen; Brian L. Price; Alan L. Yuille (CVPR, 2015)

Semantic part segmentation using compositional model combining shape and appearance. - Jianyu Wang 001; Alan L. Yuille (CVPR, 2015)

Modeling deformable gradient compositions for single-image super-resolution. - Yu Zhu 004; Yanning Zhang 001; Boyan Bonev 001; Alan L. Yuille (CVPR, 2015)

Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. - Junhua Mao; Xu Wei; Yi Yang 007; Jiang Wang 001; Zhiheng Huang; Alan L. Yuille (ICCV, 2015)

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. - George Papandreou; Liang-Chieh Chen; Kevin P. Murphy; Alan L. Yuille (ICCV, 2015)

Scene-Domain Active Part Models for Object Representation. - Zhou Ren; Chaohui Wang; Alan L. Yuille (ICCV, 2015)

Joint Object and Part Segmentation Using Deep Learned Potentials. - Peng Wang 001; Xiaohui Shen; Zhe Lin 001; Scott Cohen; Brian L. Price; Alan L. Yuille (ICCV, 2015)

One Shot Learning via Compositions of Meaningful Patches. - Alex Wong 001; Alan L. Yuille (ICCV, 2015)

Temporally consistent region-based video exposure correction. - Xuan Dong 001; Lu Yuan; Weixin Li 001; Alan L. Yuille (ICME, 2015)

Error Factor Analysis for Wild Scene Image-Labelling. - Peng Wang 001; Alan L. Yuille (WACV, 2015)

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (ICLR (Poster), 2015)

Learning Deep Structured Models. - Liang-Chieh Chen; Alexander G. Schwing; Alan L. Yuille; Raquel Urtasun (ICLR (Workshop), 2015)

Fidelity-Naturalness Evaluation of Single Image Super Resolution. - Xuan Dong 001; Yu Zhu 004; Weixin Li 001; Lingxi Xie; Alex Wong 001; Alan L. Yuille (CoRR, 2015)

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. - Junhua Mao; Wei Xu 017; Yi Yang 007; Jiang Wang 001; Zhiheng Huang; Alan L. Yuille (CoRR, 2015)

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN). - Junhua Mao; Wei Xu 017; Yi Yang 007; Jiang Wang 001; Alan L. Yuille (ICLR, 2015)

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. - George Papandreou; Liang-Chieh Chen; Kevin Murphy 002; Alan L. Yuille (CoRR, 2015)

PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset. - Vittal Premachandran; Boyan Bonev 001; Alan L. Yuille (CoRR, 2015)

Multi-Instance Visual-Semantic Embedding. - Zhou Ren; Hailin Jin; Zhe Lin 001; Chen Fang; Alan L. Yuille (CoRR, 2015)

DOC: Deep OCclusion Recovering From A Single Image. - Peng Wang 001; Alan L. Yuille (CoRR, 2015)

Discovering Internal Representations from Object-CNNs Using Population Encoding. - Jianyu Wang 001; Zhishuai Zhang; Vittal Premachandran; Alan L. Yuille (CoRR, 2015)

Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net. - Fangting Xia; Peng Wang 001; Liang-Chieh Chen; Alan L. Yuille (CoRR, 2015)

Pose-Guided Human Parsing with Deep Learned Features. - Fangting Xia; Jun Zhu 001; Peng Wang 001; Alan L. Yuille (CoRR, 2015)

DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization. - Jun Zhu 001; Xianjie Chen; Alan L. Yuille (CoRR, 2015)

Robust L2E Estimation of Transformation for Non-Rigid Registration. - Jiayi Ma 001; Weichao Qiu; Ji Zhao 001; Yong Ma 001; Alan L. Yuille; Zhuowen Tu (IEEE Trans. Signal Process., 2015)

Recognizing Actions in 3D Using Action-Snippets and Activated Simplices. - Chunyu Wang 001; John Flynn; Yizhou Wang 001; Alan L. Yuille (AAAI, 2016)

Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features. - Fangting Xia; Jun Zhu 001; Peng Wang 001; Alan L. Yuille (AAAI, 2016)

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. - Liang-Chieh Chen; Jonathan T. Barron; George Papandreou; Kevin Murphy 002; Alan L. Yuille (CVPR, 2016)

Attention to Scale: Scale-Aware Semantic Image Segmentation. - Liang-Chieh Chen; Yi Yang 007; Jiang Wang 001; Wei Xu 017; Alan L. Yuille (CVPR, 2016)

Generation and Comprehension of Unambiguous Object Descriptions. - Junhua Mao; Jonathan Huang; Alexander Toshev; Oana Camburu; Alan L. Yuille; Kevin Murphy 002 (CVPR, 2016)

Mining 3D Key-Pose-Motifs for Action Recognition. - Chunyu Wang 001; Yizhou Wang 001; Alan L. Yuille (CVPR, 2016)

InterActive: Inter-Layer Activeness Propagation. - Lingxi Xie; Liang Zheng 001; Jingdong Wang 001; Alan L. Yuille; Qi Tian 001 (CVPR, 2016)

Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation. - Yuan Gao 015; Alan L. Yuille (ECCV (2), 2016)

UnrealCV: Connecting Computer Vision to Unreal Engine. - Weichao Qiu; Alan L. Yuille (ECCV Workshops (3), 2016)

DOC: Deep OCclusion Estimation from a Single Image. - Peng Wang 001; Alan L. Yuille (ECCV (1), 2016)

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net. - Fangting Xia; Peng Wang 001; Liang-Chieh Chen; Alan L. Yuille (ECCV (5), 2016)

Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons. - Lingxi Xie; Qi Tian 001; John Flynn; Jingdong Wang 001; Alan L. Yuille (ECCV (1), 2016)

Joint Image-Text Representation by Gaussian Visual-Semantic Embedding. - Zhou Ren; Hailin Jin; Zhe Lin 001; Chen Fang; Alan L. Yuille (ACM Multimedia, 2016)

SURGE: Surface Regularized Geometry Estimation from a Single Image. - Peng Wang 001; Xiaohui Shen; Bryan C. Russell; Scott Cohen; Brian L. Price; Alan L. Yuille (NIPS, 2016)

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images. - Junhua Mao; Jiajing Xu; Yushi Jing; Alan L. Yuille (NIPS, 2016)

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer. - Hongjing Lu; Randall R. Rojas; Tom Beckers; Alan L. Yuille (Cogn. Sci., 2016)

UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. - Yi Zhang 099; Weichao Qiu; Qi Chen; Xiaolin Hu 001; Alan L. Yuille (CoRR, 2016)

Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach. - Yuyin Zhou; Lingxi Xie; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2016)

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Non-Rigid Point Set Registration by Preserving Global and Local Structures. - Jiayi Ma 001; Ji Zhao 001; Alan L. Yuille (IEEE Trans. Image Process., 2016)

Attention Correctness in Neural Image Captioning. - Chenxi Liu 001; Junhua Mao; Fei Sha; Alan L. Yuille (AAAI, 2017)

Multiple Instance Visual-Semantic Embedding. - Zhou Ren; Hailin Jin; Zhe Lin 001; Chen Fang; Alan L. Yuille (BMVC, 2017)

Detecting Semantic Parts on Partially Occluded Objects. - Jianyu Wang 001; Zhishuai Zhang; Cihang Xie; Jun Zhu 001; Lingxi Xie; Alan L. Yuille (BMVC, 2017)

Exploiting Protrusion Cues for Fast and Effective Shape Modeling via Ellipses. - Alex Wong 001; Alan L. Yuille; Brian Taylor 001 (BMVC, 2017)

Multi-context Attention for Human Pose Estimation. - Xiao Chu; Wei Yang 019; Wanli Ouyang; Cheng Ma; Alan L. Yuille; Xiaogang Wang 001 (CVPR, 2017)

Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images. - Yuan Gao 015; Alan L. Yuille (CVPR, 2017)

Joint Multi-person Pose Estimation and Semantic Part Segmentation. - Fangting Xia; Peng Wang 001; Xianjie Chen; Alan L. Yuille (CVPR, 2017)

Recurrent Multimodal Interaction for Referring Image Segmentation. - Chenxi Liu 001; Zhe Lin 001; Xiaohui Shen; Jimei Yang; Xin Lu 006; Alan L. Yuille (ICCV, 2017)

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. - Siyuan Qiao; Wei Shen 002; Weichao Qiu; Chenxi Liu 001; Alan L. Yuille (ICCV, 2017)

Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. - Wei Shen 002; Bin Wang; Yuan Jiang 002; Yan Wang 033; Alan L. Yuille (ICCV, 2017)

SORT: Second-Order Response Transform for Visual Recognition. - Yan Wang 033; Lingxi Xie; Chenxi Liu 001; Siyuan Qiao; Ya Zhang 002; Wenjun Zhang 001; Qi Tian 001; Alan L. Yuille (ICCV, 2017)

Adversarial Examples for Semantic Segmentation and Object Detection. - Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; Yuyin Zhou; Lingxi Xie; Alan L. Yuille (ICCV, 2017)

Genetic CNN. - Lingxi Xie; Alan L. Yuille (ICCV, 2017)

Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections. - Ehsan Jahangiri; Alan L. Yuille (ICCV Workshops, 2017)

Regularizing face verification nets for pain intensity regression. - Feng Wang 015; Xiang Xiang 001; Chang Liu; Trac D. Tran; Austin Reiter; Gregory D. Hager; Harry Quon; Jian Cheng 003; Alan L. Yuille (ICIP, 2017)

Transfer of View-manifold Learning to Similarity Perception of Novel Objects. - Xingyu Lin; Hao Wang; Zhihao Li; Yimeng Zhang; Alan L. Yuille; Tai Sing Lee (ICLR (Poster), 2017)

MAT: A Multimodal Attentive Translator for Image Captioning. - Chang Liu; Fuchun Sun 001; Changhu Wang; Feng Wang 015; Alan L. Yuille (IJCAI, 2017)

Object Recognition with and without Objects. - Zhuotun Zhu; Lingxi Xie; Alan L. Yuille (IJCAI, 2017)

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. - Yuyin Zhou; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2017)

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. - Yuyin Zhou; Lingxi Xie; Wei Shen 002; Yan Wang 033; Elliot K. Fishman; Alan L. Yuille (MICCAI (1), 2017)

NormFace: L2 Hypersphere Embedding for Face Verification. - Feng Wang 015; Xiang Xiang 001; Jian Cheng 003; Alan Loddon Yuille (ACM Multimedia, 2017)

Label Distribution Learning Forests. - Wei Shen 002; Kai Zhao; Yilu Guo; Alan L. Yuille (NIPS, 2017)

PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector. - Vittal Premachandran; Boyan Bonev 001; Xiaochen Lian; Alan L. Yuille (WACV, 2017)

Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections. - Ehsan Jahangiri; Alan L. Yuille (CoRR, 2017)

Transferring Face Verification Nets To Pain and Expression Regression. - Feng Wang 015; Xiang Xiang 001; Chang Liu; Trac D. Tran; Austin Reiter; Gregory D. Hager; Harry Quon; Jian Cheng 003; Alan L. Yuille (CoRR, 2017)

SORT: Second-Order Response Transform for Visual Recognition. - Yan Wang 033; Lingxi Xie; Chenxi Liu 001; Ya Zhang 002; Wenjun Zhang 001; Alan L. Yuille (CoRR, 2017)

Deep Collaborative Learning for Visual Recognition. - Yan Wang 033; Lingxi Xie; Ya Zhang 002; Wenjun Zhang 001; Alan L. Yuille (CoRR, 2017)

Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CoRR, 2017)

DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion. - Zhishuai Zhang; Cihang Xie; Jianyu Wang 001; Lingxi Xie; Alan L. Yuille (CoRR, 2017)

Visual Concepts and Compositional Voting. - Jianyu Wang 001; Zhishuai Zhang; Cihang Xie; Yuyin Zhou; Vittal Premachandran; Jun Zhu 001; Lingxi Xie; Alan L. Yuille (CoRR, 2017)

Unleashing the Potential of CNNs for Interpretable Few-Shot Learning. - Boyang Deng; Qing Liu 017; Siyuan Qiao; Alan L. Yuille (CoRR, 2017)

A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. - Zhuotun Zhu; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2017)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (CoRR, 2017)

Editorial- Deep Learning for Computer Vision. - Ross B. Girshick; Iasonas Kokkinos; Ivan Laptev; Jitendra Malik; George Papandreou; Andrea Vedaldi; Xiaogang Wang 001; Shuicheng Yan; Alan L. Yuille (Comput. Vis. Image Underst., 2017)

Empirical Minimum Bayes Risk Prediction. - Vittal Premachandran; Daniel Tarlow; Alan L. Yuille; Dhruv Batra (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples. - Yuan Gao 015; Jiayi Ma 001; Alan L. Yuille (IEEE Trans. Image Process., 2017)

DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images. - Wei Shen 002; Kai Zhao; Yuan Jiang 002; Yan Wang 033; Xiang Bai; Alan L. Yuille (IEEE Trans. Image Process., 2017)

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision. - Yi Zhang 099; Weichao Qiu; Qi Chen; Xiaolin Hu 001; Alan L. Yuille (3DV, 2018)

A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. - Zhuotun Zhu; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (3DV, 2018)

SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data. - Qi Chen; Weichao Qiu; Yi Zhang 099; Lingxi Xie; Alan L. Yuille (BMVC, 2018)

OriNet: A Fully Convolutional Network for 3D Human Pose Estimation. - Chenxu Luo; Xiao Chu; Alan L. Yuille (BMVC, 2018)

Deep Regression Forests for Age Estimation. - Wei Shen 002; Yilu Guo; Yan Wang 033; Kai Zhao; Bo Wang 044; Alan L. Yuille (CVPR, 2018)

Few-Shot Image Recognition by Predicting Parameters From Activations. - Siyuan Qiao; Chenxi Liu 001; Wei Shen 002; Alan L. Yuille (CVPR, 2018)

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CVPR, 2018)

Single-Shot Object Detection With Enriched Semantics. - Zhishuai Zhang; Siyuan Qiao; Cihang Xie; Wei Shen 002; Bo Wang 044; Alan L. Yuille (CVPR, 2018)

DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion. - Zhishuai Zhang; Cihang Xie; Jianyu Wang 001; Lingxi Xie; Alan L. Yuille (CVPR, 2018)

Progressive Neural Architecture Search. - Chenxi Liu 001; Barret Zoph; Maxim Neumann; Jonathon Shlens; Wei Hua; Li-Jia Li 001; Li Fei-Fei 001; Alan L. Yuille; Jonathan Huang; Kevin Murphy 002 (ECCV (1), 2018)

Deep Co-Training for Semi-Supervised Image Recognition. - Siyuan Qiao; Wei Shen 002; Zhishuai Zhang; Bo Wang 044; Alan L. Yuille (ECCV (15), 2018)

Weakly Supervised Region Proposal Network and Object Detection. - Peng Tang; Xinggang Wang; Angtian Wang; Yongluan Yan; Wenyu Liu 001; Junzhou Huang; Alan L. Yuille (ECCV (11), 2018)

Multi-scale Spatially-Asymmetric Recalibration for Image Classification. - Yan Wang 033; Lingxi Xie; Siyuan Qiao; Ya Zhang 002; Wenjun Zhang 001; Alan L. Yuille (ECCV (13), 2018)

PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. - Hong Chen; Zhenhua Fan; Hao Lu; Alan L. Yuille; Shu Rong (EMNLP, 2018)

Mitigating Adversarial Effects Through Randomization. - Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; Zhou Ren; Alan L. Yuille (ICLR (Poster), 2018)

Gradually Updated Neural Networks for Large-Scale Image Recognition. - Siyuan Qiao; Zhishuai Zhang; Wei Shen 002; Bo Wang 044; Alan L. Yuille (ICML, 2018)

Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation. - Jinhang Choi; Kevin M. Irick; Justin Hardin; Weichao Qiu; Alan L. Yuille; Jack Sampson; Vijaykrishnan Narayanan (ISCAS, 2018)

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. - Yan Wang 033; Yuyin Zhou; Peng Tang; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MICCAI (4), 2018)

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. - Yingda Xia; Lingxi Xie; Fengze Liu; Zhuotun Zhu; Elliot K. Fishman; Alan L. Yuille (MICCAI (4), 2018)

Scene Graph Parsing as Dependency Parsing. - Yu-Siang Wang; Chenxi Liu 001; Xiaohui Zeng; Alan L. Yuille (NAACL-HLT, 2018)

NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction. - Yuan Gao 015; Qi She; Jiayi Ma 001; Mingbo Zhao; Wei Liu 005; Alan L. Yuille (CoRR, 2018)

Improving Transferability of Adversarial Examples with Input Diversity. - Cihang Xie; Zhishuai Zhang; Jianyu Wang 001; Yuyin Zhou; Zhou Ren; Alan L. Yuille (CoRR, 2018)

Adversarial Attacks and Defences Competition. - Alexey Kurakin; Ian J. Goodfellow; Samy Bengio; Yinpeng Dong; Fangzhou Liao; Ming Liang; Tianyu Pang; Jun Zhu 001; Xiaolin Hu 001; Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; et al. (CoRR, 2018)

Bridging the Gap Between 2D and 3D Organ Segmentation. - Yingda Xia; Lingxi Xie; Fengze Liu; Zhuotun Zhu; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Semi-supervised multi-organ segmentation via multi-planar co-training. - Yuyin Zhou; Yan Wang 033; Peng Tang; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students. - Chenglin Yang; Lingxi Xie; Siyuan Qiao; Alan L. Yuille (CoRR, 2018)

Spatial Transformer Introspective Neural Network. - Yunhan Zhao; Ye Tian; Wei Shen 002; Alan L. Yuille (CoRR, 2018)

Rethinking Monocular Depth Estimation with Adversarial Training. - Richard Chen 001; Faisal Mahmood 001; Alan L. Yuille; Nicholas J. Durr (CoRR, 2018)

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. - Huangjie Zheng; Lingxi Xie; Tianwei Ni; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Progressive Recurrent Learning for Visual Recognition. - Xutong Ren; Lingxi Xie; Chen Wei 005; Siyuan Qiao; Chi Su; Jiaying Liu 001; Alan L. Yuille (CoRR, 2018)

Elastic Boundary Projection for 3D Medical Imaging Segmentation. - Tianwei Ni; Lingxi Xie; Huangjie Zheng; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

ELASTIC: Improving CNNs with Instance Specific Scaling Policies. - Huiyu Wang; Aniruddha Kembhavi; Ali Farhadi; Alan L. Yuille; Mohammad Rastegari (CoRR, 2018)

FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems. - Wenbin Jiang 001; Min Long; Laurence T. Yang; Xiaobai Liu; Hai Jin 001; Alan L. Yuille; Ye Chi (Future Gener. Comput. Syst., 2018)

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. - Liang-Chieh Chen; George Papandreou; Iasonas Kokkinos; Kevin Murphy 002; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

A Novel Linelet-Based Representation for Line Segment Detection. - Nam-Gyu Cho; Alan L. Yuille; Seong-Whan Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level. - Xuan Dong 001; Boyan Ivanov Bonev; Weixin Li 001; Weichao Qiu; Xianjie Chen; Alan L. Yuille (IEEE Trans. Circuits Syst. Video Technol., 2018)

Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis. - Wangmeng Zuo; Liang Lin; Alan L. Yuille; Horst Bischof; Lei Zhang 006; Fatih Porikli (IEEE Trans. Circuits Syst. Video Technol., 2018)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. - Yuyin Zhou; Qihang Yu; Yan Wang 033; Lingxi Xie; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Learning to Refine 3D Human Pose Sequences. - Jieru Mei; Xingyu Chen; Chunyu Wang 001; Alan L. Yuille; Xuguang Lan; Wenjun Zeng 001 (3DV, 2019)

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. - Zhuotun Zhu; Chenxi Liu 001; Dong Yang 005; Alan L. Yuille; Daguang Xu (3DV, 2019)

Learning Basis Representation to Refine 3D Human Pose Estimations. - Chunyu Wang 001; Haibo Qiu; Alan L. Yuille; Wenjun Zeng 001 (AAAI, 2019)

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students. - Chenglin Yang; Lingxi Xie; Siyuan Qiao; Alan L. Yuille (AAAI, 2019)

Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems. - Hongjing Lu; Qing Liu 017; Nicholas Ichien; Alan L. Yuille; Keith J. Holyoak (CogSci, 2019)

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. - Hongru Zhu; Peng Tang; Alan L. Yuille; Soojin Park; Jeongho Park (CogSci, 2019)

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction. - Yuan Gao 015; Jiayi Ma 001; Mingbo Zhao; Wei Liu 005; Alan L. Yuille (CVPR, 2019)

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. - Chenxi Liu 001; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Wei Hua; Alan L. Yuille; Li Fei-Fei 001 (CVPR, 2019)

CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions. - Runtao Liu; Chenxi Liu 001; Yutong Bai; Alan L. Yuille (CVPR, 2019)

Elastic Boundary Projection for 3D Medical Image Segmentation. - Tianwei Ni; Lingxi Xie; Huangjie Zheng; Elliot K. Fishman; Alan L. Yuille (CVPR, 2019)

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization. - Siyuan Qiao; Zhe Lin 001; Jianming Zhang 001; Alan L. Yuille (CVPR, 2019)

Patch-based 3D Human Pose Refinement. - Qingfu Wan; Weichao Qiu; Alan L. Yuille (CVPR Workshops, 2019)

ELASTIC: Improving CNNs With Dynamic Scaling Policies. - Huiyu Wang; Aniruddha Kembhavi; Ali Farhadi; Alan L. Yuille; Mohammad Rastegari (CVPR, 2019)

Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning. - Chen Wei 005; Lingxi Xie; Xutong Ren; Yingda Xia; Chi Su; Jiaying Liu 001; Qi Tian 001; Alan L. Yuille (CVPR, 2019)

Feature Denoising for Improving Adversarial Robustness. - Cihang Xie; Yuxin Wu; Laurens van der Maaten; Alan L. Yuille; Kaiming He (CVPR, 2019)

Improving Transferability of Adversarial Examples With Input Diversity. - Cihang Xie; Zhishuai Zhang; Yuyin Zhou; Song Bai 001; Jianyu Wang 001; Zhou Ren; Alan L. Yuille (CVPR, 2019)

Snapshot Distillation: Teacher-Student Optimization in One Generation. - Chenglin Yang; Lingxi Xie; Chi Su; Alan L. Yuille (CVPR, 2019)

Adversarial Attacks Beyond the Image Space. - Xiaohui Zeng; Chenxi Liu 001; Yu-Siang Wang; Weichao Qiu; Lingxi Xie; Yu-Wing Tai; Chi-Keung Tang; Alan L. Yuille (CVPR, 2019)

CRAVES: Controlling Robotic Arm With a Vision-Based Economic System. - Yiming Zuo 001; Weichao Qiu; Lingxi Xie; Fangwei Zhong; Yizhou Wang 001; Alan L. Yuille (CVPR, 2019)

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval. - Qing Liu 017; Lingxi Xie; Huiyu Wang; Alan L. Yuille (ICCV, 2019)

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data. - Yutong Bai; Qing Liu 017; Lingxi Xie; Yan Zheng; Weichao Qiu; Alan L. Yuille (ICCV, 2019)

An Alarm System for Segmentation Algorithm Based on Shape Model. - Fengze Liu; Yingda Xia; Dong Yang 005; Alan L. Yuille; Daguang Xu (ICCV, 2019)

Grouped Spatial-Temporal Aggregation for Efficient Action Recognition. - Chenxu Luo; Alan L. Yuille (ICCV, 2019)

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. - Yuyin Zhou; Zhe Li; Song Bai 001; Xinlei Chen; Mei Han; Chong Wang; Elliot K. Fishman; Alan L. Yuille (ICCV, 2019)

Localizing Occluders with Compositional Convolutional Networks. - Adam Kortylewski; Qing Liu 017; Huiyu Wang; Zhishuai Zhang; Alan L. Yuille (ICCV Workshops, 2019)

Structured Prediction using cGANs with Fusion Discriminator. - Faisal Mahmood 001; Wenhao Xu; Nicholas J. Durr; Jeremiah W. Johnson; Alan L. Yuille (DGS@ICLR, 2019)

Joint Shape Representation and Classification for Detecting PDAC. - Fengze Liu; Lingxi Xie; Yingda Xia; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. - Fengze Liu; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

Lesion Detection by Efficiently Bridging 3D Context. - Zhishuai Zhang; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. - Yuyin Zhou; David Dreizin; Yingwei Li 002; Zhishuai Zhang; Yan Wang 033; Alan L. Yuille (MLMI@MICCAI, 2019)

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. - Yuyin Zhou; Yingwei Li 002; Zhishuai Zhang; Yan Wang 033; Angtian Wang; Elliot K. Fishman; Alan L. Yuille; Seyoun Park (MICCAI (2), 2019)

Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. - Zhuotun Zhu; Yingda Xia; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (MICCAI (6), 2019)

Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis. - Tae Soo Kim 001; Michael Peven; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (WACV Workshops, 2019)

Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. - Yuyin Zhou; Yan Wang 033; Peng Tang; Song Bai 001; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (WACV, 2019)

Weight Standardization. - Siyuan Qiao; Huiyu Wang; Chenxi Liu 001; Wei Shen 002; Alan L. Yuille (CoRR, 2019)

Thickened 2D Networks for 3D Medical Image Segmentation. - Qihang Yu; Yingda Xia; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (CoRR, 2019)

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. - Hongru Zhu; Peng Tang; Alan L. Yuille (CoRR, 2019)

Compositional Convolutional Networks For Robust Object Classification under Occlusion. - Adam Kortylewski; Qing Liu 017; Huiyu Wang; Zhishuai Zhang; Alan L. Yuille (CoRR, 2019)

Intriguing properties of adversarial training. - Cihang Xie; Alan L. Yuille (CoRR, 2019)

TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion. - Mingqing Xiao 002; Adam Kortylewski; Ruihai Wu; Siyuan Qiao; Wei Shen 002; Alan L. Yuille (CoRR, 2019)

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Changqing Zou; Cihang Xie; Alan L. Yuille; Ning Liu (CoRR, 2019)

Rethinking Normalization and Elimination Singularity in Neural Networks. - Siyuan Qiao; Huiyu Wang; Chenxi Liu 001; Wei Shen 002; Alan L. Yuille (CoRR, 2019)

Shape-aware Feature Extraction for Instance Segmentation. - Hao Ding; Siyuan Qiao; Wei Shen 002; Alan L. Yuille (CoRR, 2019)

RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition. - Yi Zhang 099; Xinyue Wei; Weichao Qiu; Zihao Xiao 001; Gregory D. Hager; Alan L. Yuille (CoRR, 2019)

Zero-shot Recognition of Complex Action Sequences. - Jonathan D. Jones; Tae Soo Kim 001; Michael Peven; Jin Bai; Zihao Xiao 001; Yi Zhang 099; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (CoRR, 2019)

Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints. - Pengfei Li 008; Weichao Qiu; Michael Peven; Gregory D. Hager; Alan L. Yuille (CoRR, 2019)

Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. - Jialing Lyu; Weichao Qiu; Xinyue Wei; Yi Zhang 099; Alan L. Yuille; Zheng-Jun Zha (CoRR, 2019)

Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images. - Yuan Gao 015; Alan L. Yuille (Int. J. Comput. Vis., 2019)

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. - Yan Wang 033; Yuyin Zhou; Wei Shen 002; Seyoun Park; Elliot K. Fishman; Alan L. Yuille (Medical Image Anal., 2019)

Robust 3D Human Pose Estimation from Single Images or Video Sequences. - Chunyu Wang 001; Yizhou Wang 001; Zhouchen Lin; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning Transferable Adversarial Examples via Ghost Networks. - Yingwei Li 002; Song Bai 001; Yuyin Zhou; Cihang Xie; Zhishuai Zhang; Alan L. Yuille (AAAI, 2020)

Identifying Model Weakness with Adversarial Examiner. - Michelle Shu; Chenxi Liu 001; Weichao Qiu; Alan L. Yuille (AAAI, 2020)

When Radiology Report Generation Meets Knowledge Graph. - Yixiao Zhang 001; Xiaosong Wang 001; Ziyue Xu 001; Qihang Yu; Alan L. Yuille; Daguang Xu (AAAI, 2020)

ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. - Hanwen Cao; Yongyi Lu; Bo Pang 003; Cewu Lu; Alan L. Yuille; Gongshen Liu (BMVC, 2020)

Universal Physical Camouflage Attacks on Object Detectors. - Lifeng Huang; Chengying Gao; Yuyin Zhou; Cihang Xie; Alan L. Yuille; Changqing Zou; Ning Liu (CVPR, 2020)

Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion. - Adam Kortylewski; Ju He; Qing Liu 017; Alan L. Yuille (CVPR, 2020)

Neural Architecture Search for Lightweight Non-Local Networks. - Yingwei Li 002; Xiaojie Jin; Jieru Mei; Xiaochen Lian; Linjie Yang; Cihang Xie; Qihang Yu; Yuyin Zhou; Song Bai 001; Alan L. Yuille (CVPR, 2020)

Context-Aware Group Captioning via Self-Attention and Contrastive Features. - Zhuowan Li; Quan Tran; Long Mai; Zhe Lin 001; Alan L. Yuille (CVPR, 2020)

Identity Preserve Transform: Understand What Activity Classification Models Have Learnt. - Jialing Lyu; Weichao Qiu; Alan L. Yuille (CVPR Workshops, 2020)

Learning From Synthetic Animals. - Jiteng Mu; Weichao Qiu; Gregory D. Hager; Alan L. Yuille (CVPR, 2020)

Robust Object Detection Under Occlusion With Context-Aware CompositionalNets. - Angtian Wang; Yihong Sun; Adam Kortylewski; Alan L. Yuille (CVPR, 2020)

Deep Distance Transform for Tubular Structure Segmentation in CT Scans. - Yan Wang 033; Xu Wei; Fengze Liu; Jieneng Chen; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CVPR, 2020)

Adversarial Examples Improve Image Recognition. - Cihang Xie; Mingxing Tan; Boqing Gong; Jiang Wang 001; Alan L. Yuille; Quoc V. Le (CVPR, 2020)

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. - Qihang Yu; Dong Yang 005; Holger Roth; Yutong Bai; Yixiao Zhang 001; Alan L. Yuille; Daguang Xu (CVPR, 2020)

Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots. - Qi Chen; Lin Sun 004; Zhixin Wang; Kui Jia; Alan L. Yuille (ECCV (21), 2020)

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. - Yingwei Li 002; Song Bai 001; Cihang Xie; Zhenyu Liao 003; Xiaohui Shen; Alan L. Yuille (ECCV (11), 2020)

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. - Fengze Liu; Jinzheng Cai; Yuankai Huo; Chi-Tung Cheng; Ashwin Raju; Dakai Jin; Jing Xiao 006; Alan L. Yuille; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (ECCV (13), 2020)

Are Labels Necessary for Neural Architecture Search? - Chenxi Liu 001; Piotr Dollár; Kaiming He; Ross B. Girshick; Alan L. Yuille; Saining Xie (ECCV (4), 2020)

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. - Huiyu Wang; Yukun Zhu; Bradley Green; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (4), 2020)

Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation. - Yingda Xia; Yi Zhang 099; Fengze Liu; Wei Shen 002; Alan L. Yuille (ECCV (1), 2020)

TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion. - Mingqing Xiao 002; Adam Kortylewski; Ruihai Wu; Siyuan Qiao; Wei Shen 002; Alan L. Yuille (ECCV Workshops (2), 2020)

PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning. - Chenglin Yang; Adam Kortylewski; Cihang Xie; Yinzhi Cao; Alan L. Yuille (ECCV (26), 2020)

AtomNAS: Fine-Grained End-to-End Neural Architecture Search. - Jieru Mei; Yingwei Li 002; Xiaochen Lian; Xiaojie Jin; Linjie Yang; Alan L. Yuille; Jianchao Yang (ICLR, 2020)

Intriguing Properties of Adversarial Training at Scale. - Cihang Xie; Alan L. Yuille (ICLR, 2020)

Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles. - Chenxu Luo; Lin Sun 004; Dariush Dabiri; Alan L. Yuille (IROS, 2020)

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. - Chun-Hung Chao; Zhuotun Zhu; Dazhou Guo; Ke Yan 006; Tsung-Ying Ho; Jinzheng Cai; Adam P. Harrison; Xianghua Ye; Jing Xiao 006; Alan L. Yuille; Min Sun 001; Le Lu 001; et al. (MICCAI (7), 2020)

Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation. - Shuhao Fu; Yongyi Lu; Yan Wang 033; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MICCAI (1), 2020)

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2020)

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. - Zhuotun Zhu; Dakai Jin; Ke Yan 006; Tsung-Ying Ho; Xianghua Ye; Dazhou Guo; Chun-Hung Chao; Jing Xiao 006; Alan L. Yuille; Le Lu 001 (MICCAI (7), 2020)

Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization. - Qi Chen; Lin Sun 004; Ernest Cheung; Alan L. Yuille (NeurIPS, 2020)

Adversarial Examples for Edge Detection: They Exist, and They Transfer. - Christian Cosgrove; Alan L. Yuille (WACV, 2020)

Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion. - Adam Kortylewski; Qing Liu 017; Huiyu Wang; Zhishuai Zhang; Alan L. Yuille (WACV, 2020)

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. - Yingda Xia; Fengze Liu; Dong Yang 005; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (WACV, 2020)

Robust Face Detection via Learning Small Faces on Hard Images. - Zhishuai Zhang; Wei Shen 002; Siyuan Qiao; Yan Wang 033; Bo Wang 044; Alan L. Yuille (WACV, 2020)

Resisting Large Data Variations via Introspective Transformation Network. - Yunhan Zhao; Ye Tian; Charless C. Fowlkes; Wei Shen 002; Alan L. Yuille (WACV, 2020)

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (CoRR, 2020)

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. - Dazhou Guo; Dakai Jin; Zhuotun Zhu; Tsung-Ying Ho; Adam P. Harrison; Chun-Hung Chao; Jing Xiao 006; Alan L. Yuille; Chien-Yu Lin; Le Lu 001 (CoRR, 2020)

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. - Zhuotun Zhu; Ke Yan 006; Dakai Jin; Jinzheng Cai; Tsung-Ying Ho; Adam P. Harrison; Dazhou Guo; Chun-Hung Chao; Xianghua Ye; Jing Xiao 006; Alan L. Yuille; Le Lu 001 (CoRR, 2020)

Smooth Adversarial Training. - Cihang Xie; Mingxing Tan; Boqing Gong; Alan L. Yuille; Quoc V. Le (CoRR, 2020)

CoKe: Localized Contrastive Learning for Robust Keypoint Detection. - Yutong Bai; Angtian Wang; Adam Kortylewski; Alan L. Yuille (CoRR, 2020)

Weakly-Supervised Amodal Instance Segmentation with Compositional Priors. - Yihong Sun; Adam Kortylewski; Alan L. Yuille (CoRR, 2020)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2020)

Can Temporal Information Help with Contrastive Self-Supervised Learning? - Yutong Bai; Haoqi Fan 001; Ishan Misra; Ganesh Venkatesh; Yongyi Lu; Yuyin Zhou; Qihang Yu; Vikas Chandra; Alan L. Yuille (CoRR, 2020)

Batch Normalization with Enhanced Linear Transformation. - Yuhui Xu; Lingxi Xie; Cihang Xie; Jieru Mei; Siyuan Qiao; Wei Shen 002; Hongkai Xiong; Alan L. Yuille (CoRR, 2020)

Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation. - Qihao Liu; Weichao Qiu; Weiyao Wang 002; Gregory D. Hager; Alan L. Yuille (CoRR, 2020)

Unsupervised Part Discovery via Feature Alignment. - Mengqi Guo; Yutong Bai; Zhishuai Zhang; Adam Kortylewski; Alan L. Yuille (CoRR, 2020)

Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks. - Christian Cosgrove; Adam Kortylewski; Chenglin Yang; Alan L. Yuille (CoRR, 2020)

Meticulous Object Segmentation. - Chenglin Yang; Yilin Wang 002; Jianming Zhang 001; He Zhang 004; Zhe Lin 001; Alan L. Yuille (CoRR, 2020)

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT. - David Dreizin; Yuyin Zhou; Yixiao Zhang 001; Nikki Tirada; Alan L. Yuille (J. Digit. Imaging, 2020)

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. - Yingda Xia; Dong Yang 005; Zhiding Yu; Fengze Liu; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (Medical Image Anal., 2020)

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. - Chenxu Luo; Zhenheng Yang; Peng Wang 001; Yang Wang 046; Wei Xu 017; Ram Nevatia; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. - Peng Tang; Xinggang Wang; Song Bai 001; Wei Shen 002; Xiang Bai; Wenyu Liu 001; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Unsupervised learning of optical flow with patch consistency and occlusion estimation. - Zhe Ren; Junchi Yan; Xiaokang Yang 001; Alan L. Yuille; Hongyuan Zha (Pattern Recognit., 2020)

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. - Zhe Ren; Wenhan Luo; Junchi Yan; Wenlong Liao; Xiaokang Yang 001; Alan L. Yuille; Hongyuan Zha (IEEE Trans. Image Process., 2020)

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. - Lingxi Xie; Qihang Yu; Yuyin Zhou; Yan Wang 033; Elliot K. Fishman; Alan L. Yuille (IEEE Trans. Medical Imaging, 2020)

DASZL: Dynamic Action Signatures for Zero-shot Learning. - Tae Soo Kim 001; Jonathan D. Jones; Michael Peven; Zihao Xiao 001; Jin Bai; Yi Zhang 099; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (AAAI, 2021)

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. - Qihang Yu; Yingwei Li 002; Jieru Mei; Yuyin Zhou; Alan L. Yuille (AAAI, 2021)

Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. - Huaijin Pi; Huiyu Wang; Yingwei Li 002; Zizhang Li; Alan L. Yuille (BMVC, 2021)

Compositional Generative Networks and Robustness to Perceptible Image Changes. - Adam Kortylewski; Ju He; Qing Liu 017; Christian Cosgrove; Chenglin Yang; Alan L. Yuille (CISS, 2021)

Visual Analogy: Deep Learning Versus Compositional Models. - Nicholas Ichien; Qing Liu 017; Shuhao Fu; Keith J. Holyoak; Alan L. Yuille; Hongjing Lu (CogSci, 2021)

Three-dimensional pose discrimination in natural images of humans. - Hongru Zhu; Alan L. Yuille; Daniel J. Kersten (CogSci, 2021)

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. - Qing Liu 017; Vignesh Ramanathan; Dhruv Mahajan 001; Alan L. Yuille; Zhenheng Yang (CVPR, 2021)

Deeply Shape-Guided Cascade for Instance Segmentation. - Hao Ding; Siyuan Qiao; Alan L. Yuille; Wei Shen 002 (CVPR, 2021)

Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. - Zefan Li; Chenxi Liu 001; Alan L. Yuille; Bingbing Ni; Wenjun Zhang 001; Wen Gao 001 (CVPR, 2021)

Self-Supervised Pillar Motion Learning for Autonomous Driving. - Chenxu Luo; Xiaodong Yang; Alan L. Yuille (CVPR, 2021)

DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. - Siyuan Qiao; Liang-Chieh Chen; Alan L. Yuille (CVPR, 2021)

VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. - Siyuan Qiao; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2021)

MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. - Huiyu Wang; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2021)

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. - Chen Wei 005; Kihyuk Sohn; Clayton Mellina; Alan L. Yuille; Fan Yang (CVPR, 2021)

Mask Guided Matting via Progressive Refinement Network. - Qihang Yu; Jianming Zhang 001; He Zhang 004; Yilin Wang 002; Zhe Lin 001; Ning Xu 007; Yutong Bai; Alan L. Yuille (CVPR, 2021)

Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. - Xiaoding Yuan; Adam Kortylewski; Yihong Sun; Alan L. Yuille (CVPR, 2021)

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. - Zhuowan Li; Elias Stengel-Eskin; Yixiao Zhang 001; Cihang Xie; Quan Tran; Benjamin Van Durme; Alan L. Yuille (ICCV, 2021)

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. - Chenxu Luo; Xiaodong Yang; Alan L. Yuille (ICCV, 2021)

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. - Jiteng Mu; Weichao Qiu; Adam Kortylewski; Alan L. Yuille; Nuno Vasconcelos; Xiaolong Wang 004 (ICCV, 2021)

Nuisance-Label Supervision: Robustness Improvement by Free Labels. - Xinyue Wei; Weichao Qiu; Yi Zhang 099; Zihao Xiao 001; Alan L. Yuille (ICCVW, 2021)

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. - Zhuotun Zhu; Yongyi Lu; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (ICCVW, 2021)

CO2: Consistent Contrast for Unsupervised Visual Representation Learning. - Chen Wei 005; Huiyu Wang; Wei Shen 002; Alan L. Yuille (ICLR, 2021)

Shape-Texture Debiased Neural Network Training. - Yingwei Li 002; Qihang Yu; Mingxing Tan; Jieru Mei; Peng Tang; Wei Shen 002; Alan L. Yuille; Cihang Xie (ICLR, 2021)

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation. - Angtian Wang; Adam Kortylewski; Alan L. Yuille (ICLR, 2021)

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. - Jieneng Chen; Ke Yan 006; Yu-Dong Zhang; Youbao Tang; Xun Xu; Shuwen Sun; Qiuping Liu; Lingyun Huang; Jing Xiao 006; Alan L. Yuille; Ya Zhang 002; Le Lu 001 (MICCAI (7), 2021)

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. - Fengze Liu; Ke Yan 006; Adam P. Harrison; Dazhou Guo; Le Lu 001; Alan L. Yuille; Lingyun Huang; Guotong Xie; Jing Xiao 006; Xianghua Ye; Dakai Jin (MICCAI (4), 2021)

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. - Yingda Xia; Jiawen Yao; Le Lu 001; Lingyun Huang; Guotong Xie; Jing Xiao 006; Alan L. Yuille; Kai Cao; Ling Zhang 002 (MICCAI (5), 2021)

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. - Aishan Liu; Xinyun Chen; Yingwei Li 002; Chaowei Xiao; Xun Yang 001; Xianglong Liu 001; Dawn Song; Dacheng Tao; Alan L. Yuille; Anima Anandkumar (ACM Multimedia, 2021)

Are Transformers more robust than CNNs? - Yutong Bai; Jieru Mei; Alan L. Yuille; Cihang Xie (NeurIPS, 2021)

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge. - Jiyang Qi; Yan Gao 017; Yao Hu 002; Xinggang Wang; Xiaoyu Liu; Xiang Bai; Serge J. Belongie; Alan L. Yuille; Philip H. S. Torr; Song Bai 001 (NeurIPS Datasets and Benchmarks, 2021)

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose. - Angtian Wang; Shenxiao Mei; Alan L. Yuille; Adam Kortylewski (NeurIPS, 2021)

Glance-and-Gaze Vision Transformer. - Qihang Yu; Yingda Xia; Yutong Bai; Yongyi Lu; Alan L. Yuille; Wei Shen 002 (NeurIPS, 2021)

COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification. - Ju He; Adam Kortylewski; Alan L. Yuille (CoRR, 2021)

Occluded Video Instance Segmentation. - Jiyang Qi; Yan Gao 017; Yao Hu 002; Xinggang Wang; Xiaoyu Liu; Xiang Bai; Serge J. Belongie; Alan L. Yuille; Philip H. S. Torr; Song Bai 001 (CoRR, 2021)

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Jieneng Chen; Yongyi Lu; Qihang Yu; Xiangde Luo; Ehsan Adeli 001; Yan Wang 033; Le Lu 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping. - Prakhar Kaushik; Alex Gain; Adam Kortylewski; Alan L. Yuille (CoRR, 2021)

Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations. - Seyoun Park; Elliot K. Fishman; Alan L. Yuille (CoRR, 2021)

TransFG: A Transformer Architecture for Fine-grained Recognition. - Ju He; Jieneng Chen; Shuai Liu; Adam Kortylewski; Cheng Yang; Yutong Bai; Changhu Wang; Alan L. Yuille (CoRR, 2021)

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models. - Qing Liu 017; Adam Kortylewski; Zhishuai Zhang; Zizhang Li; Mengqi Guo; Qihao Liu; Xiaoding Yuan; Jiteng Mu; Weichao Qiu; Alan L. Yuille (CoRR, 2021)

DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation. - Junfei Xiao; Lequan Yu; Lei Xing 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning. - Ju He; Adam Kortylewski; Shaokang Yang; Shuai Liu; Cheng Yang; Changhu Wang; Alan L. Yuille (CoRR, 2021)

DeepLab2: A TensorFlow Library for Deep Labeling. - Mark Weber; Huiyu Wang; Siyuan Qiao; Jun Xie; Maxwell D. Collins; Yukun Zhu; Liangzhe Yuan; Dahun Kim; Qihang Yu; Daniel Cremers; Laura Leal-Taixé; Alan L. Yuille; et al. (CoRR, 2021)

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms. - Chenglin Yang; Siyuan Qiao; Adam Kortylewski; Alan L. Yuille (CoRR, 2021)

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques. - Shiyu Tang; Ruihao Gong; Yan Wang 033; Aishan Liu; Jiakai Wang; Xinyun Chen; Fengwei Yu; Xianglong Liu 001; Dawn Song; Alan L. Yuille; Philip H. S. Torr; Dacheng Tao (CoRR, 2021)

Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels. - Mintong Kang; Yongyi Lu; Alan L. Yuille; Zongwei Zhou (CoRR, 2021)

A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation. - Yixiao Zhang 001; Adam Kortylewski; Qing Liu 017; Seyoun Park; Benjamin Green 004; Elizabeth Engle; Guillermo Almodovar; Ryan Walk; Sigfredo Soto-Diaz; Janis Taube; Alex Szalay; Alan L. Yuille (CoRR, 2021)

iBOT: Image BERT Pre-Training with Online Tokenizer. - Jinghao Zhou; Chen Wei 005; Huiyu Wang; Wei Shen 002; Cihang Xie; Alan L. Yuille; Tao Kong (CoRR, 2021)

In-painting Radiography Images for Unsupervised Anomaly Detection. - Tiange Xiang; Yongyi Lu; Alan L. Yuille; Chaoyi Zhang; Weidong Cai 001; Zongwei Zhou (CoRR, 2021)

ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts. - Bingchen Zhao; Shaozuo Yu; Wufei Ma; Mingxin Yu; Shenxiao Mei; Angtian Wang; Ju He; Alan L. Yuille; Adam Kortylewski (CoRR, 2021)

PartImageNet: A Large, High-Quality Dataset of Parts. - Ju He; Shuo Yang; Shaokang Yang; Adam Kortylewski; Xiaoding Yuan; Jieneng Chen; Shuai Liu; Cheng Yang; Alan L. Yuille (CoRR, 2021)

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. - Jingye Chen; Jieneng Chen; Zongwei Zhou; Bin Li 015; Alan L. Yuille; Yongyi Lu (CoRR, 2021)

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion. - Adam Kortylewski; Qing Liu 017; Angtian Wang; Yihong Sun; Alan L. Yuille (Int. J. Comput. Vis., 2021)

Deep Nets: What have They Ever Done for Vision? - Alan L. Yuille; Chenxi Liu 001 (Int. J. Comput. Vis., 2021)

Deep Differentiable Random Forests for Age Estimation. - Wei Shen 002; Yilu Guo; Yan Wang 033; Kai Zhao; Bo Wang 044; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. - Yan Wang 033; Peng Tang; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (IEEE Trans. Medical Imaging, 2021)

Learning Road Scene-level Representations via Semantic Region Prediction. - Zihao Xiao 001; Alan L. Yuille; Yi-Ting Chen (CoRL, 2022)

Masked Feature Prediction for Self-Supervised Visual Pre-Training. - Chen Wei 005; Haoqi Fan 001; Saining Xie; Chao-Yuan Wu; Alan L. Yuille; Christoph Feichtenhofer (CVPR, 2022)

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. - Qing Liu 017; Adam Kortylewski; Zhishuai Zhang; Zizhang Li; Mengqi Guo; Qihao Liu; Xiaoding Yuan; Jiteng Mu; Weichao Qiu; Alan L. Yuille (CVPR, 2022)

Point-Level Region Contrast for Object Detection Pre-Training. - Yutong Bai; Xinlei Chen; Alexander Kirillov; Alan L. Yuille; Alexander C. Berg (CVPR, 2022)

TransMix: Attend to Mix for Vision Transformers. - Jieneng Chen; Shuyang Sun; Ju He; Philip H. S. Torr; Alan L. Yuille; Song Bai 001 (CVPR, 2022)

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. - Vipul Gupta; Zhuowan Li; Adam Kortylewski; Chenyu Zhang; Yingwei Li 002; Alan L. Yuille (CVPR, 2022)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; Adams Wei Yu; Tianjian Meng; Benjamin Caine; Jiquan Ngiam; Daiyi Peng; Junyang Shen; Yifeng Lu; Denny Zhou; Quoc V. Le; Alan L. Yuille; Mingxing Tan (CVPR, 2022)

A Simple Data Mixing Prior for Improving Self-Supervised Learning. - Sucheng Ren; Huiyu Wang; Zhengqi Gao; Shengfeng He; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR, 2022)

Simulated Adversarial Testing of Face Recognition Models. - Nataniel Ruiz; Adam Kortylewski; Weichao Qiu; Cihang Xie; Sarah Adel Bargal; Alan L. Yuille; Stan Sclaroff (CVPR, 2022)

Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model. - Yihong Sun; Adam Kortylewski; Alan L. Yuille (CVPR, 2022)

Learning from Temporal Gradient for Semi-supervised Action Recognition. - Junfei Xiao; Longlong Jing; Lin Zhang 040; Ju He; Qi She; Zongwei Zhou; Alan L. Yuille; Yingwei Li 002 (CVPR, 2022)

Lite Vision Transformer with Enhanced Self-Attention. - Chenglin Yang; Yilin Wang 002; Jianming Zhang 001; He Zhang 004; Zijun Wei; Zhe Lin 001; Alan L. Yuille (CVPR, 2022)

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. - Qihang Yu; Huiyu Wang; Dahun Kim; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2022)

Context-Enhanced Stereo Transformer. - Weiyu Guo; Zhaoshuo Li; Yongkui Yang; Zheng Wang 027; Russell H. Taylor; Mathias Unberath; Alan L. Yuille; Yingwei Li 002 (ECCV (32), 2022)

PartImageNet: A Large, High-Quality Dataset of Parts. - Ju He; Shuo Yang; Shaokang Yang; Adam Kortylewski; Xiaoding Yuan; Jieneng Chen; Shuai Liu; Cheng Yang; Qihang Yu; Alan L. Yuille (ECCV (8), 2022)

In Defense of Image Pre-Training for Spatiotemporal Recognition. - Xianhang Li; Huiyu Wang; Chen Wei 005; Jieru Mei; Alan L. Yuille; Yuyin Zhou; Cihang Xie (ECCV (25), 2022)

Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. - Qihao Liu; Yi Zhang 099; Song Bai 001; Alan L. Yuille (ECCV (5), 2022)

Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features. - Wufei Ma; Angtian Wang; Alan L. Yuille; Adam Kortylewski (ECCV (9), 2022)

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation. - Feng Wang 047; Huiyu Wang; Chen Wei 005; Alan L. Yuille; Wei Shen 002 (ECCV (30), 2022)

In Defense of Online Models for Video Instance Segmentation. - Junfeng Wu; Qihao Liu; Yi Jiang 004; Song Bai 001; Alan L. Yuille; Xiang Bai (ECCV (28), 2022)

Coarse-To-Fine Incremental Few-Shot Learning. - Xiang Xiang 001; Yuwen Tan; Qian Wan; Jing Ma; Alan L. Yuille; Gregory D. Hager (ECCV (31), 2022)

k-means Mask Transformer. - Qihang Yu; Huiyu Wang; Siyuan Qiao; Maxwell D. Collins; Yukun Zhu; Hartwig Adam; Alan L. Yuille; Liang-Chieh Chen (ECCV (29), 2022)

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. - Bingchen Zhao; Shaozuo Yu; Wufei Ma; Mingxin Yu; Shenxiao Mei; Angtian Wang; Ju He; Alan L. Yuille; Adam Kortylewski (ECCV (8), 2022)

Fast AdvProp. - Jieru Mei; Yucheng Han; Yutong Bai; Yixiao Zhang 001; Yingwei Li 002; Xianhang Li; Alan L. Yuille; Cihang Xie (ICLR, 2022)

Image BERT Pre-training with Online Tokenizer. - Jinghao Zhou; Chen Wei 005; Huiyu Wang; Wei Shen 002; Cihang Xie; Alan L. Yuille; Tao Kong (ICLR, 2022)

CateNorm: Categorical Normalization for Robust Medical Image Segmentation. - Junfei Xiao; Lequan Yu; Zongwei Zhou; Yutong Bai; Lei Xing 001; Alan L. Yuille; Yuyin Zhou (DART@MICCAI, 2022)

A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation. - Yixiao Zhang 001; Adam Kortylewski; Qing Liu 017; Seyoun Park; Benjamin Green 004; Elizabeth Engle; Guillermo Almodovar; Ryan Walk; Sigfredo Soto-Diaz; Janis Taube; Alex Szalay; Alan L. Yuille (MOVI@MICCAI, 2022)

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. - Yuan Yao; Fengze Liu; Zongwei Zhou; Yan Wang 033; Wei Shen 002; Alan L. Yuille; Yongyi Lu (MIDL, 2022)

Learning from Synthetic Vehicles. - Tae Soo Kim 001; Bohoon Shim; Michael Peven; Weichao Qiu; Alan L. Yuille; Gregory D. Hager (WACV (Workshops), 2022)

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. - Yingwei Li 002; Adams Wei Yu; Tianjian Meng; Benjamin Caine; Jiquan Ngiam; Daiyi Peng; Junyang Shen; Bo Wu; Yifeng Lu; Denny Zhou; Quoc V. Le; Alan L. Yuille; et al. (CoRR, 2022)

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation. - Feng Wang 047; Huiyu Wang; Chen Wei 005; Alan L. Yuille; Wei Shen 002 (CoRR, 2022)

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning. - Liangyu Chen 005; Yutong Bai; Siyu Huang; Yongyi Lu; Bihan Wen; Alan L. Yuille; Zongwei Zhou (CoRR, 2022)

1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track. - Junfei Xiao; Zhichao Xu; Shiyi Lan; Zhiding Yu; Alan L. Yuille; Anima Anandkumar (CoRR, 2022)

Synthetic Tumors Make AI Segment Tumors Better. - Qixin Hu; Junfei Xiao; Yixiong Chen; Shuwen Sun; Jieneng Chen; Alan L. Yuille; Zongwei Zhou (CoRR, 2022)

LUMix: Improving Mixup by Better Modelling Label Uncertainty. - Shuyang Sun; Jieneng Chen; Ruifei He; Alan L. Yuille; Philip H. S. Torr; Song Bai 001 (CoRR, 2022)

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning? - Zhuowan Li; Cihang Xie; Benjamin Van Durme; Alan L. Yuille (CoRR, 2022)

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation. - Siwei Yang; Longlong Jing; Junfei Xiao; Hang Zhao; Alan L. Yuille; Yingwei Li 002 (CoRR, 2022)

Occluded Video Instance Segmentation: A Benchmark. - Jiyang Qi; Yan Gao 017; Yao Hu 002; Xinggang Wang; Xiaoyu Liu; Xiang Bai; Serge J. Belongie; Alan L. Yuille; Philip H. S. Torr; Song Bai 001 (Int. J. Comput. Vis., 2022)

Imbalanced regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets. - Xiang Xiang 001; Feng Wang 015; Yuwen Tan; Alan L. Yuille (Pattern Recognit. Lett., 2022)

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data. - Yuyin Zhou; David Dreizin; Yan Wang 033; Fengze Liu; Wei Shen 002; Alan L. Yuille (IEEE Trans. Medical Imaging, 2022)

Masked Autoencoders Enable Efficient Knowledge Distillers. - Yutong Bai; Zeyu Wang 008; Junfei Xiao; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR, 2023)

Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. - Ju He; Jieneng Chen; Ming-Xian Lin; Qihang Yu; Alan L. Yuille (CVPR, 2023)

Label-Free Liver Tumor Segmentation. - Qixin Hu; Yixiong Chen; Junfei Xiao; Shuwen Sun; Jieneng Chen; Alan L. Yuille; Zongwei Zhou (CVPR, 2023)

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline. - Wei Ji 011; Jingjing Li; Cheng Bian; Zongwei Zhou; Jiaying Zhao; Alan L. Yuille; Li Cheng 001 (CVPR, 2023)

Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. - Zhuowan Li; Xingrui Wang; Elias Stengel-Eskin; Adam Kortylewski; Wufei Ma; Benjamin Van Durme; Alan L. Yuille (CVPR, 2023)

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation. - Qihao Liu; Adam Kortylewski; Alan L. Yuille (CVPR, 2023)

InstMove: Instance Motion for Object-centric Video Segmentation. - Qihao Liu; Junfeng Wu; Yi Jiang 004; Xiang Bai; Alan L. Yuille; Song Bai 001 (CVPR, 2023)

SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. - Tiange Xiang; Yixiao Zhang 001; Yongyi Lu; Alan L. Yuille; Chaoyi Zhang; Weidong Cai 001; Zongwei Zhou (CVPR, 2023)

Diffusion Models as Masked Autoencoders. - Chen Wei 005; Karttikeya Mangalam; Po-Yao Huang 001; Yanghao Li; Haoqi Fan 001; Hu Xu 001; Huiyu Wang; Cihang Xie; Alan L. Yuille; Christoph Feichtenhofer (ICCV, 2023)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 2023)

SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. - Yuanze Lin; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Cihang Xie (ICCV, 2023)

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. - Jie Liu 044; Yixiao Zhang 001; Jieneng Chen; Junfei Xiao; Yongyi Lu; Bennett A. Landman; Yixuan Yuan; Alan L. Yuille; Yucheng Tang; Zongwei Zhou (ICCV, 2023)

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. - Jiacong Xu; Yi Zhang 099; Jiawei Peng; Wufei Ma; Artur Jesslen; Pengliang Ji; Qixin Hu; Jiehua Zhang; Qihao Liu; Jiahao Wang 001; Wei Ji 011; Chen Wang 049; et al. (ICCV, 2023)

3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. - Yi Zhang 099; Pengliang Ji; Angtian Wang; Jieru Mei; Adam Kortylewski; Alan L. Yuille (ICCV, 2023)

Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks. - Yixiong Chen; Alan L. Yuille; Zongwei Zhou (ICLR, 2023)

VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis. - Angtian Wang; Peng Wang 001; Jian Sun; Adam Kortylewski; Alan L. Yuille (ICLR, 2023)

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. - Chenglin Yang; Siyuan Qiao; Qihang Yu; Xiaoding Yuan; Yukun Zhu; Alan L. Yuille; Hartwig Adam; Liang-Chieh Chen (ICLR, 2023)

Label-Assemble: Leveraging Multiple Datasets with Partial Labels. - Mintong Kang; Bowen Li; Zengle Zhu; Yongyi Lu; Elliot K. Fishman; Alan L. Yuille; Zongwei Zhou (ISBI, 2023)

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. - Yiqing Wang; Zihan Li; Jieru Mei; Zihao Wei; Li Liu 046; Chen Wang 049; Shengtian Sang; Alan L. Yuille; Cihang Xie; Yuyin Zhou (MICCAI (3), 2023)

Continual Learning for Abdominal Multi-organ and Tumor Segmentation. - Yixiao Zhang 001; Xinyi Li; Huimiao Chen; Alan L. Yuille; Yaoyao Liu 001; Zongwei Zhou (MICCAI (2), 2023)

Making Your First Choice: To Address Cold Start Problem in Medical Active Learning. - Liangyu Chen 005; Yutong Bai; Siyu Huang; Yongyi Lu; Bihan Wen; Alan L. Yuille; Zongwei Zhou (MIDL, 2023)

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. - Chongyu Qu; Tiezheng Zhang; Hualin Qiao; Jie Liu 044; Yucheng Tang; Alan L. Yuille; Zongwei Zhou (NeurIPS, 2023)

3D-Aware Visual Question Answering about Parts, Poses and Occlusions. - Xingrui Wang; Wufei Ma; Zhuowan Li; Adam Kortylewski; Alan L. Yuille (NeurIPS, 2023)

CoKe: Contrastive Learning for Robust Keypoint Detection. - Yutong Bai; Angtian Wang; Adam Kortylewski; Alan L. Yuille (WACV, 2023)

CORL: Compositional Representation Learning for Few-Shot Classification. - Ju He; Adam Kortylewski; Alan L. Yuille (WACV, 2023)

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification. - Junfei Xiao; Yutong Bai; Alan L. Yuille; Zongwei Zhou (WACV, 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (CoRR, 2023)

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. - Chongyu Qu; Tiezheng Zhang; Hualin Qiao; Jie Liu 044; Yucheng Tang; Alan L. Yuille; Zongwei Zhou (CoRR, 2023)

Robust 3D-aware Object Classification via Discriminative Render-and-Compare. - Artur Jesslen; Guofeng Zhang 025; Angtian Wang; Alan L. Yuille; Adam Kortylewski (CoRR, 2023)

Robust Category-Level 3D Pose Estimation from Synthetic Data. - Jiahao Yang; Wufei Ma; Angtian Wang; Xiaoding Yuan; Alan L. Yuille; Adam Kortylewski (CoRR, 2023)

Intriguing Properties of Text-guided Diffusion Models. - Qihao Liu; Adam Kortylewski; Yutong Bai; Song Bai 001; Alan L. Yuille (CoRR, 2023)

Adding 3D Geometry Control to Diffusion Models. - Wufei Ma; Qihao Liu; Jiahao Wang 001; Angtian Wang; Yaoyao Liu 001; Adam Kortylewski; Alan L. Yuille (CoRR, 2023)

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis. - Bowen Li; Yu-Cheng Chou; Shuwen Sun; Hualin Qiao; Alan L. Yuille; Zongwei Zhou (CoRR, 2023)

Understanding Pan-Sharpening via Generalized Inverse. - Shiqi Liu; Yutong Bai; Xinyang Han; Alan L. Yuille (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

Synthetic Data as Validation. - Qixin Hu; Alan L. Yuille; Zongwei Zhou (CoRR, 2023)

Instruct2Attack: Language-Guided Semantic Adversarial Attacks. - Jiang Liu 014; Chen Wei; Yuxiang Guo 001; Heng Yu 005; Alan L. Yuille; Soheil Feizi; Chun Pong Lau 001; Rama Chellappa (CoRR, 2023)

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. - Ruxiao Duan; Yaoyao Liu 001; Jieneng Chen; Adam Kortylewski; Alan L. Yuille (CoRR, 2023)

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. - Ju He; Qihang Yu; Inkyu Shin; Xueqing Deng; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2023)

SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference. - Feng Wang; Jieru Mei; Alan L. Yuille (CoRR, 2023)

Continual Adversarial Defense. - Qian Wang 001; Yaoyao Liu 001; Hefei Ling; Yingwei Li 002; Qihao Liu; Ping Li 021; Jiazhong Chen; Alan L. Yuille; Ning Yu (CoRR, 2023)

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. - Junfei Xiao; Ziqi Zhou; Wenxuan Li; Shiyi Lan; Jieru Mei; Zhiding Yu; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CoRR, 2023)

BNET: Batch Normalization With Enhanced Linear Transformation. - Yuhui Xu; Lingxi Xie; Cihang Xie; Wenrui Dai; Jieru Mei; Siyuan Qiao; Wei Shen 002; Hongkai Xiong; Alan L. Yuille (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Two Computational Approaches to Visual Analogy: Task-Specific Models Versus Domain-General Mapping. - Nicholas Ichien; Qing Liu 017; Shuhao Fu; Keith J. Holyoak; Alan L. Yuille; Hongjing Lu (Cogn. Sci., 2023)

HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction. - Angtian Wang; Yuanlu Xu; Nikolaos Sarafianos; Robert Maier 001; Edmond Boyer; Alan L. Yuille; Tony Tung (AAAI, 2024)

De-Diffusion Makes Text a Strong Cross-Modal Interface. - Chen Wei 005; Chenxi Liu 001; Siyuan Qiao; Zhishuai Zhang; Alan L. Yuille; Jiahui Yu (CVPR, 2024)

Sequential Modeling Enables Scalable Learning for Large Vision Models. - Yutong Bai; Xinyang Geng; Karttikeya Mangalam; Amir Bar; Alan L. Yuille; Trevor Darrell; Jitendra Malik; Alexei A. Efros (CVPR, 2024)

Structure-Aware Sparse-View X-Ray 3D Reconstruction. - Yuanhao Cai; Jiahao Wang 001; Alan L. Yuille; Zongwei Zhou; Angtian Wang (CVPR, 2024)

Towards Generalizable Tumor Synthesis. - Qi Chen; Xiaoxi Chen; Haorui Song; Zhiwei Xiong; Alan L. Yuille; Chen Wei 002; Zongwei Zhou (CVPR, 2024)

ViTamin: Designing Scalable Vision Models in the Vision-Language Era. - Jieneng Chen; Qihang Yu; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2024)

A Bayesian Approach to OOD Robustness in Image Classification. - Prakhar Kaushik; Adam Kortylewski; Alan L. Yuille (CVPR, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CVPR Workshops, 2024)

DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. - Qihao Liu; Yi Zhang 099; Song Bai 001; Adam Kortylewski; Alan L. Yuille (CVPR, 2024)

Benchmarking Robustness in Neural Radiance Fields. - Chen Wang 049; Angtian Wang; Junbo Li; Alan L. Yuille; Cihang Xie (CVPR Workshops, 2024)

Masked Autoencoders are Secretly Efficient Learners. - Zihao Wei; Chen Wei 005; Jieru Mei; Yutong Bai; Zeyu Wang 008; Xianhang Li; Hongru Zhu; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (CVPR Workshops, 2024)

Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-Modal Language Models. - Shitian Zhao; Zhuowan Li; Yadong Lu; Alan L. Yuille; Yan Wang 033 (CVPR, 2024)

Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models. - Zhuowan Li; Cihang Xie; Benjamin Van Durme; Alan L. Yuille (EACL (1), 2024)

Radiative Gaussian Splatting for Efficient X-Ray Novel View Synthesis. - Yuanhao Cai; Yixun Liang; Jiahao Wang 001; Angtian Wang; Yulun Zhang 001; Xiaokang Yang 001; Zongwei Zhou; Alan L. Yuille (ECCV (1), 2024)

iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. - Tom Fischer; Yaoyao Liu 001; Artur Jesslen; Noor Ahmed; Prakhar Kaushik; Angtian Wang; Alan L. Yuille; Adam Kortylewski; Eddy Ilg (ECCV (77), 2024)

NOVUM: Neural Object Volumes for Robust Object Classification. - Artur Jesslen; Guofeng Zhang 025; Angtian Wang; Wufei Ma; Alan L. Yuille; Adam Kortylewski (ECCV (4), 2024)

Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data. - Wufei Ma; Kai Li 016; Zhongshi Jiang; Moustafa Meshry; Qihao Liu; Huiyu Wang; Christian Häne; Alan L. Yuille (ECCV (13), 2024)

SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference. - Feng Wang 047; Jieru Mei; Alan L. Yuille (ECCV (21), 2024)

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties. - Junfei Xiao; Ziqi Zhou; Wenxuan Li; Shiyi Lan; Jieru Mei; Zhiding Yu; Bingchen Zhao; Alan L. Yuille; Yuyin Zhou; Cihang Xie (ECCV (38), 2024)

From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation. - Yunfei Xie; Cihang Xie; Alan L. Yuille; Jieru Mei (ECCV (66), 2024)

IG Captioner: Information Gain Captioners Are Strong Zero-Shot Classifiers. - Chenglin Yang; Siyuan Qiao; Yuan Cao 007; Yu Zhang 033; Tao Zhu 005; Alan L. Yuille; Jiahui Yu (ECCV (64), 2024)

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation. - Prakhar Kaushik; Aayush Mishra; Adam Kortylewski; Alan L. Yuille (ICLR, 2024)

How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? - Wenxuan Li; Alan L. Yuille; Zongwei Zhou (ICLR, 2024)

Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search. - Qihao Liu; Adam Kortylewski; Yutong Bai; Song Bai 001; Alan L. Yuille (ICLR, 2024)

Generating Images with 3D Annotations Using Diffusion Models. - Wufei Ma; Qihao Liu; Jiahao Wang 001; Angtian Wang; Xiaoding Yuan; Yi Zhang 099; Zihao Xiao 001; Guofeng Zhang 020; Beijia Lu; Ruxiao Duan; Yongrui Qi; Adam Kortylewski; et al. (ICLR, 2024)

Rejuvenating image-GPT as Strong Visual Representation Learners. - Sucheng Ren; Zeyu Wang 008; Hongru Zhu; Junfei Xiao; Alan L. Yuille; Cihang Xie (ICML, 2024)

Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. - Shiyi Du; Xiaosong Wang 001; Yongyi Lu; Yuyin Zhou; Shaoting Zhang 001; Alan L. Yuille; Kang Li 004; Zongwei Zhou (ISBI, 2024)

Leveraging AI Predicted and Expert Revised Annotations in Interactive Segmentation: Continual Tuning or Full Training? - Tiezheng Zhang; Xiaoxi Chen; Chongyu Qu; Alan L. Yuille; Zongwei Zhou (ISBI, 2024)

Embracing Massive Medical Data. - Yu-Cheng Chou; Zongwei Zhou; Alan L. Yuille (MICCAI (1), 2024)

From Pixel to Cancer: Cellular Automata in Computed Tomography. - Yuxiang Lai; Xiaoxi Chen; Angtian Wang; Alan L. Yuille; Zongwei Zhou (MICCAI (1), 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 2024)

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting. - Yuanhao Cai; Zihao Xiao 001; Yixun Liang; Minghan Qin; Yulun Zhang 001; Xiaokang Yang 001; Yaoyao Liu 001; Alan L. Yuille (NeurIPS, 2024)

Efficient Large Multi-modal Models via Visual Context Compression. - Jieneng Chen; Luoxin Ye; Ju He; Zhaoyang Wang; Daniel Khashabi; Alan L. Yuille (NeurIPS, 2024)

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. - Wufei Ma; Guofeng Zhang 020; Qihao Liu; Guanning Zeng; Adam Kortylewski; Yaoyao Liu 001; Alan L. Yuille (NeurIPS, 2024)

Learning Part Segmentation from Synthetic Animals. - Jiawei Peng; Ju He; Prakhar Kaushik; Zihao Xiao 001; Jiteng Mu; Alan L. Yuille (WACV (Workshops), 2024)

Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis. - Angtian Wang; Wufei Ma; Alan L. Yuille; Adam Kortylewski (WACV, 2024)

Robust Category-Level 3D Pose Estimation from Diffusion-Enhanced Synthetic Data. - Jiahao Yang; Wufei Ma; Angtian Wang; Xiaoding Yuan; Alan L. Yuille; Adam Kortylewski (WACV, 2024)

PaLM2-VAdapter: Progressively Aligned Language Model Makes a Strong Vision-language Adapter. - Junfei Xiao; Zheng Xu; Alan L. Yuille; Shen Yan; Boyu Wang (CoRR, 2024)

Learning a Category-level Object Pose Estimator without Pose Annotations. - Fengrui Tian; Yaoyao Liu 001; Adam Kortylewski; Yueqi Duan; Shaoyi Du; Alan L. Yuille; Angtian Wang (CoRR, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CoRR, 2024)

Mamba-R: Vision Mamba ALSO Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets. - Yixiong Chen; Zongwei Zhou; Alan L. Yuille (CoRR, 2024)

Medical Vision Generalist: Unifying Medical Imaging Tasks in Context. - Sucheng Ren; Xiaoke Huang; Xianhang Li; Junfei Xiao; Jieru Mei; Zeyu Wang 008; Alan L. Yuille; Yuyin Zhou (CoRR, 2024)

ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. - Wufei Ma; Guanning Zeng; Guofeng Zhang 025; Qihao Liu; Letian Zhang; Adam Kortylewski; Yaoyao Liu 001; Alan L. Yuille (CoRR, 2024)

LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. - Jieneng Chen; Luoxin Ye; Ju He; Zhaoyang Wang; Daniel Khashabi; Alan L. Yuille (CoRR, 2024)

CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion Model. - Xiaoding Yuan; Shitao Tang; Kejie Li; Alan L. Yuille; Peng Wang 001 (CoRR, 2024)

ExoViP: Step-by-step Verification and Exploration with Exoskeleton Modules for Compositional Visual Reasoning. - Yuxuan Wang 004; Alan L. Yuille; Zhuowan Li; Zilong Zheng (CoRR, 2024)

Analyzing Tumors by Synthesis. - Qi Chen; Yuxiang Lai; Xiaoxi Chen; Qixin Hu; Alan L. Yuille; Zongwei Zhou (CoRR, 2024)

Causal Image Modeling for Efficient Visual Understanding. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

M-VAR: Decoupled Scale-wise Autoregressive Modeling for High-Quality Image Generation. - Sucheng Ren; Yaodong Yu; Nataniel Ruiz; Feng Wang 047; Alan L. Yuille; Cihang Xie (CoRR, 2024)

Generative World Explorer. - Taiming Lu; Tianmin Shu; Alan L. Yuille; Daniel Khashabi; Jieneng Chen (CoRR, 2024)

Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation. - Yuanhao Cai; He Zhang 004; Kai Zhang 045; Yixun Liang; Mengwei Ren; Fujun Luan; Qing Liu 017; Soo Ye Kim; Jianming Zhang 001; Zhifei Zhang; Yuqian Zhou; Zhe Lin 001; et al. (CoRR, 2024)

3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark. - Wufei Ma; Haoyu Chen; Guofeng Zhang 025; Celso M. de Melo; Alan L. Yuille; Jieneng Chen (CoRR, 2024)

GenEx: Generating an Explorable World. - Taiming Lu; Tianmin Shu; Junfei Xiao; Luoxin Ye; Jiahao Wang 001; Cheng Peng 008; Chen Wei; Daniel Khashabi; Rama Chellappa; Alan L. Yuille; Jieneng Chen (CoRR, 2024)

FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2024)

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution. - Qihao Liu; Xi Yin 001; Alan L. Yuille; Andrew Brown; Mannat Singh (CoRR, 2024)

Text-Driven Tumor Synthesis. - Xinran Li; Yi Shuai; Chen Liu; Qi Chen; Qilong Wu; Pengfei Guo; Dong Yang 005; Can Zhao 001; Pedro R. A. S. Bassi; Daguang Xu; Kang Wang 004; Yang Yang 009; et al. (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking. - Wenxuan Li; Chongyu Qu; Xiaoxi Chen; Pedro R. A. S. Bassi; Yijia Shi; Yuxiang Lai; Qian Yu; Huimin Xue; Yixiong Chen; Xiaorui Lin; Yutong Tang; Yining Cao; et al. (Medical Image Anal., 2024)

Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography. - Jie Liu 044; Yixiao Zhang 001; Kang Wang 004; Mehmet Can Yavuz; Xiaoxi Chen; Yixuan Yuan; Haoliang Li; Yang Yang 009; Alan L. Yuille; Yucheng Tang; Zongwei Zhou (Medical Image Anal., 2024)

3D genomic mapping reveals multifocality of human pancreatic precancers. - Alicia M. Braxton; Ashley L. Kiemen; Mia P. Grahn; André Forjaz; Jeeun Parksong; Jaanvi Mahesh Babu; Jiaying Lai; Lily Zheng; Noushin Niknafs; Liping Jiang; Haixia Cheng; Qianqian Song; et al. (Nat., 2024)

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning. - Peiran Xu 002; Zeyu Wang 008; Jieru Mei; Liangqiong Qu; Alan L. Yuille; Cihang Xie; Yuyin Zhou (Trans. Mach. Learn. Res., 2024)

A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. - Ju He; Qihang Yu; Inkyu Shin; Xueqing Deng; Alan L. Yuille; Xiaohui Shen; Liang-Chieh Chen (Trans. Mach. Learn. Res., 2024)

Unleashing the Power of Visual Prompting At the Pixel Level. - Junyang Wu; Xianhang Li; Chen Wei 005; Huiyu Wang; Alan L. Yuille; Yuyin Zhou; Cihang Xie (Trans. Mach. Learn. Res., 2024)

Guest Editorial Introduction to the Issue on Pre-Trained Models for Multi-Modality Understanding. - Wengang Zhou 001; Jiajun Deng; Niculae Sebe; Qi Tian 001; Alan L. Yuille; Concetto Spampinato; Zakia Hammal (IEEE Trans. Multim., 2024)

Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data. - Yu-Cheng Chou; Bowen Li; Deng-Ping Fan; Alan L. Yuille; Zongwei Zhou (Mach. Intell. Res., 2024)

Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. - Tiange Xiang; Yixiao Zhang 001; Yongyi Lu; Alan L. Yuille; Chaoyi Zhang; Tom Weidong Cai; Zongwei Zhou (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images. - Bingchen Zhao; Jiahao Wang 001; Wufei Ma; Artur Jesslen; Siwei Yang; Shaozuo Yu; Oliver Zendel 001; Christian Theobalt; Alan L. Yuille; Adam Kortylewski (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference. - Prakhar Kaushik; Ankit Vaidya; Shravan Chaudhari; Alan L. Yuille (CVPR Workshops, 2025)

Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution. - Qihao Liu; Xi Yin 001; Alan L. Yuille; Andrew Brown; Mannat Singh (CVPR, 2025)

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. - Wufei Ma; Luoxin Ye; Celso M. de Melo; Alan L. Yuille; Jieneng Chen (CVPR, 2025)

Mamba-Reg: Vision Mamba Also Needs Registers. - Feng Wang 047; Jiahao Wang 001; Sucheng Ren; Guoyizhe Wei; Jieru Mei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 2025)

Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models. - Xingrui Wang; Wufei Ma; Tiezheng Zhang; Celso M. de Melo; Jieneng Chen; Alan L. Yuille (CVPR, 2025)

Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency. - Feng Wang 047; Timing Yang; Yaodong Yu; Sucheng Ren; Guoyizhe Wei; Angtian Wang; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CVPR, 2025)

GenEx: Generating an Explorable World. - Taiming Lu; Tianmin Shu; Alan L. Yuille; Daniel Khashabi; Jieneng Chen (ICLR, 2025)

Autoregressive Pretraining with Mamba in Vision. - Sucheng Ren; Xianhang Li; Haoqin Tu; Feng Wang; Fangxun Shu; Lei Zhang; Jieru Mei; Linjie Yang; Peng Wang; Heng Wang; Alan L. Yuille; Cihang Xie (ICLR, 2025)

Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering. - Xingrui Wang; Wufei Ma; Angtian Wang; Shuo Chen; Adam Kortylewski; Alan L. Yuille (ICLR, 2025)

Label Critic: Design Data Before Models. - Pedro R. A. S. Bassi; Qilong Wu; Wenxuan Li; Sergio Decherchi; Andrea Cavalli; Alan L. Yuille; Zongwei Zhou (ISBI, 2025)

Efficient Human-in-the-Loop Pancreatic Tumor Annotation via Large-Scale Pre-Trained Model with Adaptive Post-Processing. - Xinze Zhou; Yuxuan Zhao; Chuntung Zhuang; Dexin Yu; Alan L. Yuille; Zongwei Zhou (ISBI, 2025)

EasyRet3D: Uncalibrated Multi-View Multi-Human 3D Reconstruction and Tracking. - Junjie Oscar Yin; Ting Li; Jiahao Wang 001; Yi Zhang 099; Alan L. Yuille (WACV, 2025)

SPFormer: Enhancing Vision Transformer with Superpixel Representation. - Jieru Mei; Liang-Chieh Chen; Alan L. Yuille; Cihang Xie (Trans. Mach. Learn. Res., 2025)

Gaussian Scenes: Pose-Free Sparse-View Scene Reconstruction using Depth-Enhanced Diffusion Priors. - Soumava Paul; Prakhar Kaushik; Alan L. Yuille (Trans. Mach. Learn. Res., 2025)

ARVideo: Autoregressive Pretraining for Self-Supervised Video Representation Learning. - Sucheng Ren; Hongru Zhu; Chen Wei 005; Yijiang Li; Alan L. Yuille; Cihang Xie (Trans. Mach. Learn. Res., 2025)

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. - Wenxuan Li; Pedro R. A. S. Bassi; Tianyu Lin; Yu-Cheng Chou; Xinze Zhou; Yucheng Tang; Fabian Isensee; Kang Wang 004; Qi Chen; Xiaowei Xu; Xiaoxi Chen; Lizhou Wu; et al. (CoRR, 2025)

RadGPT: Constructing 3D Image-Text Tumor Datasets. - Pedro R. A. S. Bassi; Mehmet Can Yavuz; Kang Wang 004; Xiaoxi Chen; Wenxuan Li; Sergio Decherchi; Andrea Cavalli; Yang Yang 009; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)

VideoAuteur: Towards Long Narrative Video Generation. - Junfei Xiao; Feng Cheng; Lu Qi; Liangke Gui; Jiepeng Cen; Zhibei Ma; Alan L. Yuille; Lu Jiang (CoRR, 2025)

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More. - Feng Wang 047; Yaodong Yu; Guoyizhe Wei; Wei Shao 008; Yuyin Zhou; Alan L. Yuille; Cihang Xie (CoRR, 2025)

PulseCheck457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models. - Xingrui Wang; Wufei Ma; Tiezheng Zhang; Celso M. de Melo; Jieneng Chen; Alan L. Yuille (CoRR, 2025)

Dictionary-based Framework for Interpretable and Consistent Object Parsing. - Tiezheng Zhang; Qihang Yu; Alan L. Yuille; Ju He (CoRR, 2025)

Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation. - Sucheng Ren; Qihang Yu; Ju He; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding. - Yixiong Chen; Shawn Xu; Andrew Sellergren; Yossi Matias; Avinatan Hassidim; Shravya Shetty; Daniel Golden; Alan L. Yuille; Lin Yang (CoRR, 2025)

X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second. - Guofeng Zhang 025; Ruyi Zha; Hao He 011; Yixun Liang; Alan L. Yuille; Hongdong Li; Yuanhao Cai (CoRR, 2025)

A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT. - Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Dandan Zheng; Heng Guo; Puyang Wang; Ke Yan 006; Yirui Wang 002; Qinji Yu; Zi Li; Minfeng Xu; Jianfeng Zhang; et al. (CoRR, 2025)

DINeMo: Learning Neural Mesh Models with no 3D Annotations. - Weijie Guo; Guofeng Zhang 025; Wufei Ma; Alan L. Yuille (CoRR, 2025)

KeyVID: Keyframe-Aware Video Diffusion for Audio-Synchronized Visual Animation. - Xingrui Wang; Jiang Liu 014; Ze Wang 008; Xiaodong Yu; Jialian Wu; Ximeng Sun; Yusheng Su; Alan L. Yuille; Zicheng Liu 001; Emad Barsoum (CoRR, 2025)

SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning. - Wufei Ma; Yu-Cheng Chou; Qihao Liu; Xingrui Wang; Celso de Melo; Jieneng Chen; Jianwen Xie; Alan L. Yuille (CoRR, 2025)

ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction. - Qihao Liu; Ju He; Qihang Yu; Liang-Chieh Chen; Alan L. Yuille (CoRR, 2025)

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. - Wufei Ma; Luoxin Ye; Nessa McWeeney; Celso M. de Melo; Jieneng Chen; Alan L. Yuille (CoRR, 2025)

Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers. - Sucheng Ren; Qihang Yu; Ju He; Alan L. Yuille; Liang-Chieh Chen (CoRR, 2025)

Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering. - Yixiong Chen; Wenjie Xiao; Pedro R. A. S. Bassi; Xinze Zhou; Sezgin Er; Ibrahim Ethem Hamamci; Zongwei Zhou; Alan L. Yuille (CoRR, 2025)

PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation. - Yifan Yin; Zhengtao Han; Shivam Aarya; Jianxin Wang; Shuhang Xu; Jiawei Peng; Angtian Wang; Alan L. Yuille; Tianmin Shu (CoRR, 2025)

Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction? - Tianyu Lin; Xinran Li; Chuntung Zhuang; Qi Chen; Yuanhao Cai; Kai Ding; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning. - Yijun Yang; Zhao-Yang Wang; Qiuping Liu; Shuwen Sun; Kang Wang 004; Rama Chellappa; Zongwei Zhou; Alan L. Yuille; Lei Zhu 003; Yu-Dong Zhang; Jieneng Chen (CoRR, 2025)

Play to Generalize: Learning to Reason Through Game Play. - Yunfei Xie; Yinsong Ma; Shiyi Lan; Alan L. Yuille; Junfei Xiao; Chen Wei (CoRR, 2025)

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. - Zonghao Ying; Siyang Wu; Run Hao; Peng Ying; Shixuan Sun; Pengyu Chen; Junze Chen; Hao Du; Kaiwen Shen; Shangkun Wu; Jiwei Wei; Shiyuan He; et al. (CoRR, 2025)

Fake it till You Make it: Reward Modeling as Discriminative Prediction. - Runtao Liu; Jiahao Zhan; Yingqing He; Chen Wei; Alan L. Yuille; Qifeng Chen (CoRR, 2025)

OmniVCus: Feedforward Subject-driven Video Customization with Multimodal Control Conditions. - Yuanhao Cai; He Zhang 004; Xi Chen; Jinbo Xing; Yiwei Hu; Yuqian Zhou; Kai Zhang; Zhifei Zhang; Soo Ye Kim; Tianyu Wang; Yulun Zhang 001; Xiaokang Yang 001; et al. (CoRR, 2025)

ShapeKit. - Junqi Liu; Dongli He; Wenxuan Li; Ningyu Wang; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)

PanTS: The Pancreatic Tumor Segmentation Dataset. - Wenxuan Li; Xinze Zhou; Qi Chen; Tianyu Lin; Pedro R. A. S. Bassi; Szymon Plotka; Jaroslaw B. Cwikla; Xiaoxi Chen; Chen Ye; Zheren Zhu; Kai Ding; Heng Li; et al. (CoRR, 2025)

Learning Segmentation from Radiology Reports. - Pedro R. A. S. Bassi; Wenxuan Li; Jieneng Chen; Zheren Zhu; Tianyu Lin; Sergio Decherchi; Andrea Cavalli; Kang Wang 004; Yang Yang 009; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)

Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models. - Tiezheng Zhang; Yitong Li; Yu-Cheng Chou; Jieneng Chen; Alan L. Yuille; Chen Wei; Junfei Xiao (CoRR, 2025)

4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos. - Shanshan Zhong; Jiawei Peng; Zehan Zheng; Zhongzhan Huang; Wufei Ma; Guofeng Zhang 025; Qihao Liu; Alan L. Yuille; Jieneng Chen (CoRR, 2025)

Captain Cinema: Towards Short Movie Generation. - Junfei Xiao; Ceyuan Yang; Lvmin Zhang; Shengqu Cai; Yang Zhao; Yuwei Guo 002; Gordon Wetzstein; Maneesh Agrawala; Alan L. Yuille; Lu Jiang (CoRR, 2025)