Recursive motion and structure estimation with complete error characterization. - Stefano Soatto; Pietro Perona; Ruggero Frezza; Giorgio Picci (CVPR, 1993)

Motion Estimation on the Essential Manifold. - Stefano Soatto; Ruggero Frezza; Pietro Perona (ECCV (2), 1994)

Dynamic Visual Motion Estimation from Subspace Constraints. - Stefano Soatto; Pietro Perona (ICIP (1), 1994)

Recursive Estimation of Camera Motion from Uncalibrated Image Sequences. - Stefano Soatto; Pietro Perona (ICIP (3), 1994)

Dynamic Rigid Motion Estimation from Weak Perspective. - Stefano Soatto; Pietro Perona (ICCV, 1995)

Visual motion estimation from point features: unified view. - Stefano Soatto; Pietro Perona (ICIP (3), 1995)

Reducing "structure from motion". - Stefano Soatto; Pietro Perona (CVPR, 1996)

Motion estimation via dynamic vision. - Stefano Soatto; Ruggero Frezza; Pietro Perona (IEEE Trans. Autom. Control., 1996)

A lagrangian formulation of nonholonomic path following. - Ruggero Frezza; Giorgio Picci; Stefano Soatto (Block Island Workshop on Vision and Control, 1997)

3-D Structure from Visual Motion: Modeling, Representation and Observability. - Stefano Soatto (Autom., 1997)

Motion from Fixation. - Stefano Soatto; Pietro Perona (Real Time Imaging, 1997)

Optimal Structure from Motion: Local Ambiguities and Global Estimates. - Stefano Soatto; Roger W. Brockett (CVPR, 1998)

Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling. - Stefano Soatto; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment. - Stefano Soatto; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Correction to: "Reducing 'Structure From Motion': A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment". - Stefano Soatto; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

On Observing Shape from Defocused Images. - Andrea Mennucci; Stefano Soatto (ICIAP, 1999)

Monte Carlo filtering on Lie groups. - Alessandro Chiuso; Stefano Soatto (CDC, 2000)

Real-Time 3-D Motion and Structure of Point-Features: A Front-End for Vision-Based Control and Interaction. - Hailin Jin; Paolo Favaro; Stefano Soatto (CVPR, 2000)

Stereoscopic Shading: Integrating Mult1Frame Shape Cues in a Variational Framework. - Hailin Jin; Stefano Soatto; Anthony J. Yezzi (CVPR, 2000)

A Geometric Approach to Blind Deconvolution with Application to Shape from Defocu. - Stefano Soatto; Paolo Favaro (CVPR, 2000)

3-D Motion and Structure from 2-D Motion Causally Integrated over Time: Implementation. - Alessandro Chiuso; Paolo Favaro; Hailin Jin; Stefano Soatto (ECCV (2), 2000)

Shape and Radiance Estimation from the Information-Divergence of Blurred Images. - Paolo Favaro; Stefano Soatto (ECCV (1), 2000)

Optimal Structure from Motion: Local Ambiguities and Global Estimates. - Alessandro Chiuso; Roger W. Brockett; Stefano Soatto (Int. J. Comput. Vis., 2000)

Euclidean Reconstruction and Reprojection Up to Subgroups. - Yi Ma 001; Stefano Soatto; Jana Kosecka; Shankar Sastry 001 (Int. J. Comput. Vis., 2000)

Recognition of Human Gaits. - Alessandro Bissacco; Alessandro Chiuso; Yi Ma 001; Stefano Soatto (CVPR (2), 2001)

Dynamic Texture Recognition. - Payam Saisan; Gianfranco Doretto; Ying Nian Wu; Stefano Soatto (CVPR (2), 2001)

Real-time Virtual Object Insertion. - Paolo Favaro; Hailin Jin; Stefano Soatto (ICCV, 2001)

Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination. - Hailin Jin; Paolo Favaro; Stefano Soatto (ICCV, 2001)

Dynamic Textures. - Stefano Soatto; Gianfranco Doretto; Ying Nian Wu (ICCV, 2001)

Variational Multiframe Stereo in the Presence of Specular Reflections. - Hailin Jin; Anthony J. Yezzi; Stefano Soatto (3DPVT, 2002)

Inpainting from Multiple Views. - Sung Ha Kang; Tony F. Chan; Stefano Soatto (3DPVT, 2002)

A Model (In)Validation Approach to Gait Recognition. - Cecilia Mazzaro; Mario Sznaier; Octavia I. Camps; Stefano Soatto; Alessandro Bissacco (3DPVT, 2002)

Observability and identifiability of jump linear systems. - René Vidal; Alessandro Chiuso; Stefano Soatto (CDC, 2002)

Learning Shape from Defocus. - Paolo Favaro; Stefano Soatto (ECCV (2), 2002)

DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images. - Stefano Soatto; Anthony J. Yezzi (ECCV (3), 2002)

Editable dynamic textures. - Gianfranco Doretto; Stefano Soatto (SIGGRAPH Abstracts and Applications, 2002)

Structure from Motion Causally Integrated Over Time. - Alessandro Chiuso; Paolo Favaro; Hailin Jin; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

An algebraic geometric approach to the identification of a class of linear hybrid systems. - René Vidal; Stefano Soatto; Yi Ma 001; Shankar Sastry 001 (CDC, 2003)

3D Shape from Anisotropic Diffusion. - Paolo Favaro; Stanley J. Osher; Stefano Soatto; Luminita A. Vese (CVPR (1), 2003)

Seeing Beyond Occlusions (and other marvels of a finite lens aperture). - Paolo Favaro; Stefano Soatto (CVPR (2), 2003)

Multi-view Stereo Beyond Lambert. - Hailin Jin; Stefano Soatto; Anthony J. Yezzi (CVPR (1), 2003)

Structure From Motion for Scenes Without Features. - Anthony J. Yezzi; Stefano Soatto (CVPR (1), 2003)

Observability of Linear Hybrid Systems. - René Vidal; Alessandro Chiuso; Stefano Soatto; Shankar Sastry 001 (HSCC, 2003)

Variational Space-Time Motion Segmentation. - Daniel Cremers; Stefano Soatto (ICCV, 2003)

Dynamic Texture Segmentation. - Gianfranco Doretto; Daniel Cremers; Paolo Favaro; Stefano Soatto (ICCV, 2003)

Shape Representation via Harmonic Embedding. - Alessandro Duci; Anthony J. Yezzi; Sanjoy K. Mitter; Stefano Soatto (ICCV, 2003)

On Exploiting Occlusions in Multiple-view Geometry. - Paolo Favaro; Alessandro Duci; Yi Ma 001; Stefano Soatto (ICCV, 2003)

Tales of Shape and Radiance in Multi-view Stereo. - Stefano Soatto; Anthony J. Yezzi; Hailin Jin (ICCV, 2003)

Dynamic Textures. - Gianfranco Doretto; Alessandro Chiuso; Ying Nian Wu; Stefano Soatto (Int. J. Comput. Vis., 2003)

Observing Shape from Defocused Images. - Paolo Favaro; Andrea Mennucci; Stefano Soatto (Int. J. Comput. Vis., 2003)

Stereoscopic Segmentation. - Anthony J. Yezzi; Stefano Soatto (Int. J. Comput. Vis., 2003)

Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images. - Anthony J. Yezzi; Stefano Soatto (Int. J. Comput. Vis., 2003)

Estimation of 3D Surface Shape and Smooth Radiance from 2D Images: A Level Set Approach. - Hailin Jin; Anthony J. Yezzi; Yen-Hsi Tsai; Li-Tien Cheng; Stefano Soatto (J. Sci. Comput., 2003)

A semi-direct approach to structure from motion. - Hailin Jin; Paolo Favaro; Stefano Soatto (Vis. Comput., 2003)

Tracking deformable moving objects under severe occlusions. - Jeremy D. Jackson; Anthony J. Yezzi; Stefano Soatto (CDC, 2004)

A Variational Approach to Scene Reconstruction and Image Segmentation from Motion-Blur Cues. - Paolo Favaro; Stefano Soatto (CVPR (1), 2004)

Shedding Light on Stereoscopic Segmentation. - Hailin Jin; Daniel Cremers; Anthony J. Yezzi; Stefano Soatto (CVPR (1), 2004)

Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk. - Daniel Cremers; Stanley J. Osher; Stefano Soatto (DAGM-Symposium, 2004)

Spatially Homogeneous Dynamic Textures. - Gianfranco Doretto; Eagle Jones; Stefano Soatto (ECCV (2), 2004)

Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion. - Paolo Favaro; Martin Burger 001; Stefano Soatto (ECCV (1), 2004)

Region-Based Segmentation on Evolving Surfaces with Application to 3D Reconstruction of Shape and Piecewise Constant Radiance. - Hailin Jin; Anthony J. Yezzi; Stefano Soatto (ECCV (2), 2004)

Integral Invariant Signatures. - Siddharth Manay; Byung-Woo Hong; Anthony J. Yezzi; Stefano Soatto (ECCV (4), 2004)

Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis. - Jason Meltzer; Ming-Hsuan Yang 001; Rakesh Gupta 001; Stefano Soatto (ECCV (1), 2004)

Modeling and Synthesis of Facial Motion Driven by Speech. - Payam Saisan; Alessandro Bissacco; Alessandro Chiuso; Stefano Soatto (ECCV (3), 2004)

Simultaneous localization and mapping using multiple view feature descriptors. - Jason Meltzer; Rakesh Gupta 001; Ming-Hsuan Yang 001; Stefano Soatto (IROS, 2004)

Multiple-view geometry for image-based modeling. - Jana Kosecká; Yi Ma 001; Stefano Soatto; René Vidal (SIGGRAPH Course Notes, 2004)

Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation. - Daniel Cremers; Stefano Soatto (Int. J. Comput. Vis., 2004)

One-Shot Integral Invariant Shape Priors for Variational Segmentation. - Siddharth Manay; Daniel Cremers; Anthony J. Yezzi; Stefano Soatto (EMMCVPR, 2005)

Layered Active Appearance Models. - Eagle Jones; Stefano Soatto (ICCV, 2005)

KALMANSAC: Robust Filtering by Consensus. - Andrea Vedaldi; Hailin Jin; Paolo Favaro; Stefano Soatto (ICCV, 2005)

Features for Recognition: Viewpoint Invariance for Non-Planar Scenes. - Andrea Vedaldi; Stefano Soatto (ICCV, 2005)

Fast Marching Method for Generic Shape from Shading. - Emmanuel Prados; Stefano Soatto (VLSM, 2005)

Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance. - Hailin Jin; Stefano Soatto; Anthony J. Yezzi (Int. J. Comput. Vis., 2005)

A Geometric Approach to Shape from Defocus. - Paolo Favaro; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Modeling Dynamic Scenes: An Overview of Dynamic Textures. - Gianfranco Doretto; Stefano Soatto (Handbook of Mathematical Models in Computer Vision, 2006)

Integral Invariants and Shape Matching. - Siddharth Manay; Daniel Cremers; Byung-Woo Hong; Anthony J. Yezzi; Stefano Soatto (Statistics and Analysis of Shapes, 2006)

Classifying Human Dynamics Without Contact Forces. - Alessandro Bissacco; Stefano Soatto (CVPR (2), 2006)

Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation. - Byung-Woo Hong; Emmanuel Prados; Stefano Soatto; Luminita A. Vese (CVPR (1), 2006)

Control Theory and Fast Marching Techniques for Brain Connectivity Mapping. - Emmanuel Prados; Stefano Soatto; Christophe Lenglet; Jean-Philippe Pons; Nicolas Wotawa; Rachid Deriche; Olivier D. Faugeras (CVPR (1), 2006)

Local Features, All Grown Up. - Andrea Vedaldi; Stefano Soatto (CVPR (2), 2006)

Towards Robust and Physically Plausible Shaded Stereoscopic Segmentation. - Dejun Wang; Stefano Soatto; Emmanuel Prados (CVPR Workshops, 2006)

Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions. - Andrea Vedaldi; Stefano Soatto (ECCV (2), 2006)

High Performance Feature Detection on a Reconfigurable Co-Processor. - Jia Ming Mar; Alessandro Bissacco; Stefano Soatto; Soheil Ghiasi (FCCM, 2006)

Detecting Humans via Their Pose. - Alessandro Bissacco; Ming-Hsuan Yang 001; Stefano Soatto (NIPS, 2006)

A Complexity-Distortion Approach to Joint Pattern Alignment. - Andrea Vedaldi; Stefano Soatto (NIPS, 2006)

Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation. - Daniel Cremers; Stanley J. Osher; Stefano Soatto (Int. J. Comput. Vis., 2006)

Two-View Multibody Structure from Motion. - René Vidal; Yi Ma 001; Stefano Soatto; Shankar Sastry 001 (Int. J. Comput. Vis., 2006)

Region matching with missing parts. - Alessandro Duci; Anthony J. Yezzi; Sanjoy K. Mitter; Stefano Soatto (Image Vis. Comput., 2006)

The Golem Group/University of California at Los Angeles autonomous ground vehicle in the DARPA grand challenge. - Richard Mason; Jim Radford; Deepak Kumar; Robert Walters; Brian Fulkerson; Eagle Jones; David Caldwell; Jason Meltzer; Yaniv Alon; Amnon Shashua; Hiroshi Hattori; Emilio Frazzoli; et al. (J. Field Robotics, 2006)

Harmonic Embeddings for Linear Shape Analysis. - Alessandro Duci; Anthony J. Yezzi; Stefano Soatto; Kelvin R. Rocha (J. Math. Imaging Vis., 2006)

Dynamic Shape and Appearance Models. - Gianfranco Doretto; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Integral Invariants for Shape Matching. - Siddharth Manay; Daniel Cremers; Byung-Woo Hong; Anthony J. Yezzi; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

3-D Shape Estimation and Image Restoration - Exploiting Defocus and Motion Blur. - Paolo Favaro; Stefano Soatto (Springer, 2007)

A Fast RANSAC-Based Registration Algorithm for Accurate Localization in Unknown Environments using LIDAR Measurements. - Daniele Fontanelli; Luigi Ricciato; Stefano Soatto (CASE, 2007)

On the Blind Classification of Time Series. - Alessandro Bissacco; Stefano Soatto (CVPR, 2007)

Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression. - Alessandro Bissacco; Ming-Hsuan Yang 001; Stefano Soatto (CVPR, 2007)

Joint Priors for Variational Shape and Appearance Modeling. - Jeremy D. Jackson; Anthony J. Yezzi; Stefano Soatto (CVPR, 2007)

Autocalibration and Uncalibrated Reconstruction of Shape from Defocus. - Yifei Lou; Paolo Favaro; Andrea L. Bertozzi; Stefano Soatto (CVPR, 2007)

Moving Forward in Structure From Motion. - Andrea Vedaldi; Gregorio Guidi; Stefano Soatto (CVPR, 2007)

Proximity Distribution Kernels for Geometric Context in Category Recognition. - Haibin Ling; Stefano Soatto (ICCV, 2007)

A Study of Face Recognition as People Age. - Haibin Ling; Stefano Soatto; Narayanan Ramanathan; David W. Jacobs (ICCV, 2007)

Correspondence Transfer for the Registration of Multimodal Images. - Zhao Yi; Stefano Soatto (ICCV, 2007)

Exploring Tradeoffs in Accuracy, Energy and Latency of Scale Invariant Feature Transform in Wireless Camera Networks. - Teresa Ko; Zainul Charbiwala; Shaun Ahmadian; Mohammad H. Rahimi; Mani B. Srivastava; Stefano Soatto; Deborah Estrin (ICDSC, 2007)

Mumford-Shah on the Move: Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images. - Hailin Jin; Anthony J. Yezzi; Stefano Soatto (J. Math. Imaging Vis., 2007)

Classification and Recognition of Dynamical Models: The Role of Phase, Independent Components, Kernels and Optimal Transport. - Alessandro Bissacco; Alessandro Chiuso; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

A Variational Approach to Problems in Calibration of Multiple Cameras. - Gozde B. Unal; Anthony J. Yezzi; Stefano Soatto; Gregory G. Slabaugh (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

The scale of a texture and its application to segmentation. - Byung-Woo Hong; Stefano Soatto; Kangyu Ni; Tony F. Chan (CVPR, 2008)

Edge descriptors for robust wide-baseline correspondence. - Jason Meltzer; Stefano Soatto (CVPR, 2008)

Joint data alignment up to (lossy) transformations. - Andrea Vedaldi; Gregorio Guidi; Stefano Soatto (CVPR, 2008)

Relaxed matching kernels for robust image comparison. - Andrea Vedaldi; Stefano Soatto (CVPR, 2008)

Filtering Internet image search results towards keyword based category recognition. - Kamil Wnuk; Stefano Soatto (CVPR, 2008)

Localizing Objects with Smart Dictionaries. - Brian Fulkerson; Andrea Vedaldi; Stefano Soatto (ECCV (1), 2008)

Background Subtraction on Distributions. - Teresa Ko; Stefano Soatto; Deborah Estrin (ECCV (3), 2008)

Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images. - Ryuzo Okada; Stefano Soatto (ECCV (2), 2008)

Quick Shift and Kernel Methods for Mode Seeking. - Andrea Vedaldi; Stefano Soatto (ECCV (4), 2008)

Wide-Sense Estimation on the Special Orthogonal Group. - Alessandro Chiuso; Giorgio Picci; Stefano Soatto (Commun. Inf. Syst., 2008)

Dynamic Shape and Appearance Modeling via Moving and Deforming Layers. - Jeremy D. Jackson; Anthony J. Yezzi; Stefano Soatto (Int. J. Comput. Vis., 2008)

3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination. - Hailin Jin; Daniel Cremers; Dejun Wang; Emmanuel Prados; Anthony J. Yezzi; Stefano Soatto (Int. J. Comput. Vis., 2008)

Editorial. - Cordelia Schmid; Stefano Soatto; Carlo Tomasi (Int. J. Comput. Vis., 2008)

Shape from Defocus via Diffusion. - Paolo Favaro; Stefano Soatto; Martin Burger 001; Stanley J. Osher (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Tracking deforming objects by filtering and prediction in the space of curves. - Ganesh Sundaramoorthi; Andrea Mennucci; Stefano Soatto; Anthony J. Yezzi (CDC, 2009)

Categorization in natural time-varying image sequences. - Teresa Ko; Stefano Soatto; Deborah Estrin (CVPR Workshops, 2009)

On the set of images modulo viewpoint and contrast changes. - Ganesh Sundaramoorthi; Peter Petersen; V. S. Varadarajan; Stefano Soatto (CVPR, 2009)

Nonrigid registration combining global and local statistics. - Zhao Yi; Stefano Soatto (CVPR, 2009)

Class segmentation and object localization with superpixel neighborhoods. - Brian Fulkerson; Andrea Vedaldi; Stefano Soatto (ICCV, 2009)

Actionable information in vision. - Stefano Soatto (ICCV, 2009)

Motion segmentation with occlusions on the superpixel graph. - Alper Ayvaci; Stefano Soatto (ICCV Workshops, 2009)

Nonlocal Similarity Image Filtering. - Yifei Lou; Paolo Favaro; Stefano Soatto; Andrea L. Bertozzi (ICIAP, 2009)

SmartLDWS: A robust and scalable lane departure warning system for the smartphones. - Mars Lan; Mahsan Rofouei; Stefano Soatto; Majid Sarrafzadeh (ITSC, 2009)

A Non-local Approach to Shape from Ambient Shading. - Emmanuel Prados; Nitin Jindal; Stefano Soatto (SSVM, 2009)

Enforcing local context into shape statistics. - Byung-Woo Hong; Stefano Soatto; Luminita A. Vese (Adv. Comput. Math., 2009)

Unsupervised multiphase segmentation: A recursive approach. - Kangyu Ni; Byung-Woo Hong; Stefano Soatto; Tony F. Chan (Comput. Vis. Image Underst., 2009)

Hybrid Dynamical Models of Human Motion for the Recognition of Human Gaits. - Alessandro Bissacco; Stefano Soatto (Int. J. Comput. Vis., 2009)

Analyzing Diving: A Dataset for Judging Action Quality. - Kamil Wnuk; Stefano Soatto (ACCV Workshops (1), 2010)

Warping background subtraction. - Teresa Ko; Stefano Soatto; Deborah Estrin (CVPR, 2010)

Spike train driven dynamical models for human actions. - Michalis Raptis; Kamil Wnuk; Stefano Soatto (CVPR, 2010)

Curious snakes: A minimum latency solution to the cluttered background problem in active contours. - Ganesh Sundaramoorthi; Stefano Soatto; Anthony J. Yezzi (CVPR, 2010)

Texture Regimes for Entropy-Based Multiscale Image Analysis. - Sylvain Boltz; Frank Nielsen; Stefano Soatto (ECCV (3), 2010)

Really Quick Shift: Image Segmentation on a GPU. - Brian Fulkerson; Stefano Soatto (ECCV Workshops (1), 2010)

Tracklet Descriptors for Action Modeling and Video Analysis. - Michalis Raptis; Stefano Soatto (ECCV (1), 2010)

Earth Mover Distance on superpixels. - Sylvain Boltz; Frank Nielsen; Stefano Soatto (ICIP, 2010)

Feature tracking and object recognition on a hand-held. - Taehee Lee 002; Stefano Soatto (ISMAR, 2010)

Occlusion Detection and Motion Estimation with Convex Optimization. - Alper Ayvaci; Michalis Raptis; Stefano Soatto (NIPS, 2010)

Editorial for the Special Issue on Photometric Analysis for Computer Vision. - Peter N. Belhumeur; Katsushi Ikeuchi; Emmanuel Prados; Stefano Soatto; Peter F. Sturm (Int. J. Comput. Vis., 2010)

Embedded Imagers: Detecting, Localizing, and Recognizing Objects and Events in Natural Habitats. - Teresa Ko; Josh Hyman; Eric A. Graham; Mark H. Hansen; Stefano Soatto; Deborah Estrin (Proc. IEEE, 2010)

Face verification across age progression using discriminative methods. - Haibin Ling; Stefano Soatto; Narayanan Ramanathan; David W. Jacobs (IEEE Trans. Inf. Forensics Secur., 2010)

Heartbeat of a nest: Using imagers as biological sensors. - Teresa Ko; Shaun Ahmadian; John Hicks; Mohammad H. Rahimi; Deborah Estrin; Stefano Soatto; Sharon Coe; Michael P. Hamilton (ACM Trans. Sens. Networks, 2010)

Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition. - Andrea Vedaldi; Haibin Ling; Stefano Soatto (Computer Vision: Detection, Recognition and Reconstruction, 2010)

Learning and matching multiscale template descriptors for real-time detection, localization and tracking. - Taehee Lee 002; Stefano Soatto (CVPR, 2011)

Controlled Recognition Bounds for Scaling and Occlusion Channels. - Stefano Soatto; Alessandro Chiuso (DCC, 2011)

Detachable Object Detection with Efficient Model Selection. - Alper Ayvaci; Stefano Soatto (EMMCVPR, 2011)

Multimodal Registration via Spatial-Context Mutual Information. - Zhao Yi; Stefano Soatto (IPMI, 2011)

Edgel templates for fast planar object detection and pose estimation. - Taehee Lee 002; Stefano Soatto (ISMAR, 2011)

Multiple Instance Filtering. - Kamil Wnuk; Stefano Soatto (NIPS, 2011)

Entropy-Scale Profiles for Texture Segmentation. - Byung-Woo Hong; Kangyu Ni; Stefano Soatto (SSVM, 2011)

Biopsy needle detection in transrectal ultrasound. - Alper Ayvaci; Pingkun Yan; Sheng Xu 001; Stefano Soatto; Jochen Kruecker (Comput. Medical Imaging Graph., 2011)

Steps Towards a Theory of Visual Information: Active Perception, Signal-to-Symbol Conversion and the Interplay Between Sensing and Control. - Stefano Soatto (CoRR, 2011)

Visual-inertial navigation, mapping and localization: A scalable real-time causal approach. - Eagle Jones; Stefano Soatto (Int. J. Robotics Res., 2011)

Video-based descriptors for object recognition. - Taehee Lee 002; Stefano Soatto (Image Vis. Comput., 2011)

Direct Sparse Deblurring. - Yifei Lou; Andrea L. Bertozzi; Stefano Soatto (J. Math. Imaging Vis., 2011)

A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering. - Ganesh Sundaramoorthi; Andrea Mennucci; Stefano Soatto; Anthony J. Yezzi (SIAM J. Imaging Sci., 2011)

Information gathering control via exploratory path planning. - Luca Valente; Yen-Hsi Richard Tsai; Stefano Soatto (CISS, 2012)

Actionable saliency detection: Independent motion detection without independent motion estimation. - Georgios Georgiadis; Alper Ayvaci; Stefano Soatto (CVPR, 2012)

Discovering discriminative action parts from mid-level video representations. - Michalis Raptis; Iasonas Kokkinos; Stefano Soatto (CVPR, 2012)

Scene-Aware Video Modeling and Compression. - Georgios Georgiadis; Stefano Soatto (DCC, 2012)

Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection. - Avinash Ravichandran; Stefano Soatto (ECCV (2), 2012)

SuperFloxels: A Mid-level Representation for Video Sequences. - Avinash Ravichandran; Chaohui Wang; Michalis Raptis; Stefano Soatto (ECCV Workshops (3), 2012)

Visual-inertial ego-motion estimation for humanoid platforms. - Konstantine Tsotsos; Alberto Pretto; Stefano Soatto (Humanoids, 2012)

Video upscaling via spatio-temporal self-similarity. - Alper Ayvaci; Hailin Jin; Zhe Lin 001; Scott Cohen; Stefano Soatto (ICPR, 2012)

Information Forests. - Zhao Yi; Stefano Soatto; Maneesh Dewan; Yiqiang Zhan (ITA, 2012)

Controlled Recognition Bounds for Visual Learning and Exploration. - Vasiliy Karasev; Alessandro Chiuso; Stefano Soatto (NIPS, 2012)

Fast planar object detection and tracking via edgel templates. - Taehee Lee 002; Stefano Soatto (WACV, 2012)

Sparse Occlusion Detection with Optical Flow. - Alper Ayvaci; Michalis Raptis; Stefano Soatto (Int. J. Comput. Vis., 2012)

Detachable Object Detection: Segmentation and Depth Ordering from Short-Baseline Video. - Alper Ayvaci; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

CLAM: Coupled Localization and Mapping with Efficient Outlier Handling. - Jonathan Balzer; Stefano Soatto (CVPR, 2013)

Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques. - Yun Zeng; Chaohui Wang; Stefano Soatto; Shing-Tung Yau (CVPR, 2013)

Texture Compression. - Georgios Georgiadis; Alessandro Chiuso; Stefano Soatto (DCC, 2013)

Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework. - Brian Taylor 001; Alper Ayvaci; Avinash Ravichandran; Stefano Soatto (EMMCVPR, 2013)

Control recognition bounds for visual learning and exploration. - Vasiliy Karasev; Alessandro Chiuso; Stefano Soatto (ITA, 2013)

On the Design and Analysis of Multiple View Descriptors. - Jingming Dong; Jonathan Balzer; Damek Davis; Joshua Hernandez; Stefano Soatto (CoRR, 2013)

Observability, Identifiability, Sensitivity and Model Reduction For Vision-Assisted Inertial Navigation. - Stefano Soatto (CoRR, 2013)

Actionable Information in Vision. - Stefano Soatto (Machine Learning for Computer Vision, 2013)

Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects. - Jonathan Balzer; Daniel Acevedo Feliz; Stefano Soatto; Sebastian Höfer; Markus Hadwiger; Jürgen Beyerer (3DV, 2014)

Second-Order Shape Optimization for Geometric Inverse Problems in Vision. - Jonathan Balzer; Stefano Soatto (CVPR, 2014)

Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search. - Damek Davis; Jonathan Balzer; Stefano Soatto (CVPR, 2014)

Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation. - Vasiliy Karasev; Avinash Ravichandran; Stefano Soatto (CVPR, 2014)

Volumetric reconstruction applied to perceptual studies of size and weight. - Jonathan Balzer; Megan A. K. Peters; Stefano Soatto (WACV, 2014)

A Linear Systems Approach to Imaging Through Turbulence. - Mario Micheli; Yifei Lou; Stefano Soatto; Andrea L. Bertozzi (J. Math. Imaging Vis., 2014)

Information-Seeking Control Under Visibility-Based Uncertainty. - Luca Valente; Yen-Hsi Richard Tsai; Stefano Soatto (J. Math. Imaging Vis., 2014)

Visual Correspondence, the Lambert-Ambient Shape Space and the Systematic Design of Feature Descriptors. - Stefano Soatto; Jingming Dong (Registration and Recognition in Images and Videos, 2014)

Multi-view feature engineering and learning. - Jingming Dong; Nikolaos Karianakis; Damek Davis; Joshua Hernandez; Jonathan Balzer; Stefano Soatto (CVPR, 2015)

Domain-size pooling in local descriptors: DSP-SIFT. - Jingming Dong; Stefano Soatto (CVPR, 2015)

Texture representations for image and video synthesis. - Georgios Georgiadis; Alessandro Chiuso; Stefano Soatto (CVPR, 2015)

Efficient minimal-surface regularization of perspective depth maps in variational stereo. - Gottfried Graber; Jonathan Balzer; Stefano Soatto; Thomas Pock (CVPR, 2015)

Causal video object segmentation from persistence of occlusions. - Brian Taylor 001; Vasiliy Karasev; Stefano Soatto (CVPR, 2015)

Perspective distortion modeling, learning and compensation. - Joachim Valente; Stefano Soatto (CVPR Workshops, 2015)

Exploiting Temporal Redundancy of Visual Structures for Video Compression. - Georgios Georgiadis; Stefano Soatto (DCC, 2015)

Self-Occlusions and Disocclusions in Causal Video Object Segmentation. - Yanchao Yang 001; Ganesh Sundaramoorthi; Stefano Soatto (ICCV, 2015)

A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors. - Andrea Censi; Erich Mueller; Emilio Frazzoli; Stefano Soatto (ICRA, 2015)

Robust inference for visual-inertial sensor fusion. - Konstantine Tsotsos; Alessandro Chiuso; Stefano Soatto (ICRA, 2015)

Robust Poisson Surface Reconstruction. - Virginia Estellers; Michael Scott; Kevin Tew; Stefano Soatto (SSVM, 2015)

Trivializing The Energy Landscape Of Deep Networks. - Pratik Chaudhari; Stefano Soatto (CoRR, 2015)

How Well Can a CNN Marginalize Simple Nuisances It is Designed for? - Nikolaos Karianakis; Jingming Dong; Stefano Soatto (CoRR, 2015)

Boosting Convolutional Features for Robust Object Proposals. - Nikolaos Karianakis; Thomas J. Fuchs; Stefano Soatto (CoRR, 2015)

Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximations. - Stefano Soatto; Alessandro Chiuso (ICLR (Workshop), 2015)

Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures. - Stefano Soatto; Jingming Dong; Nikolaos Karianakis (ICLR (Workshop), 2015)

Shape Matching Using Multiscale Integral Invariants. - Byung-Woo Hong; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Adaptive Regularization With the Structure Tensor. - Virginia Estellers; Stefano Soatto; Xavier Bresson (IEEE Trans. Image Process., 2015)

An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability. - Nikolaos Karianakis; Jingming Dong; Stefano Soatto (CVPR, 2016)

A Simple Hierarchical Pooling Data Structure for Loop Closure. - Xiaohan Fei; Konstantine Tsotsos; Stefano Soatto (ECCV (3), 2016)

ShapeFit and ShapeKick for Robust, Scalable Structure from Motion. - Thomas A. Goldstein; Paul Hand; Choongbum Lee; Vladislav Voroninski; Stefano Soatto (ECCV (7), 2016)

Intent-aware long-term prediction of pedestrian motion. - Vasiliy Karasev; Alper Ayvaci; Bernd Heisele; Stefano Soatto (ICRA, 2016)

Observability, Identifiability and Sensitivity of Vision-Aided Inertial Navigation. - Joshua Hernandez; Konstantine Tsotsos; Stefano Soatto (IJCAI, 2016)

A mid-level representation of visual structures for video compression. - Georgios Georgiadis; Stefano Soatto (WACV, 2016)

Information Dropout: learning optimal representations through noise. - Alessandro Achille; Stefano Soatto (CoRR, 2016)

A Theory of Local Matching: SIFT and Beyond. - Hossein Mobahi; Stefano Soatto (CoRR, 2016)

Modeling Visual Representations: Defining Properties and Deep Approximations - Stefano Soatto; Alessandro Chiuso (ICLR (Poster), 2016)

Visual-Inertial Scene Representations. - Stefano Soatto (CoRR, 2016)

Detecting Occlusions as an Inverse Problem. - Virginia Estellers; Stefano Soatto (J. Math. Imaging Vis., 2016)

Robust Surface Reconstruction. - Virginia Estellers; M. A. Scott; Stefano Soatto (SIAM J. Imaging Sci., 2016)

Partial differential equations for training deep neural networks. - Pratik Chaudhari; Adam M. Oberman; Stanley J. Osher; Stefano Soatto; Guillaume Carlier (ACSSC, 2017)

Zero Shot Learning via Multi-scale Manifold Regularization. - Shay Deutsch; Soheil Kolouri; Kyungnam Kim; Yuri Owechko; Stefano Soatto (CVPR, 2017)

Visual-Inertial-Semantic Scene Representation for 3D Object Detection. - Jingming Dong; Xiaohan Fei; Stefano Soatto (CVPR, 2017)

S2F: Slow-to-Fast Interpolator Flow. - Yanchao Yang 001; Stefano Soatto (CVPR, 2017)

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys. - Pratik Chaudhari; Anna Choromanska; Stefano Soatto; Yann LeCun; Carlo Baldassi; Christian Borgs; Jennifer T. Chayes; Levent Sagun; Riccardo Zecchina (ICLR (Poster), 2017)

Adaptive Discretizations for Non-smooth Variational Vision. - Virginia Estellers; Stefano Soatto (SSVM, 2017)

On the Emergence of Invariance and Disentangling in Deep Representations. - Alessandro Achille; Stefano Soatto (CoRR, 2017)

Parle: parallelizing stochastic gradient descent. - Pratik Chaudhari; Carlo Baldassi; Riccardo Zecchina; Stefano Soatto; Ameet Talwalkar (CoRR, 2017)

Deep Relaxation: partial differential equations for optimizing deep neural networks. - Pratik Chaudhari; Adam M. Oberman; Stanley J. Osher; Stefano Soatto; Guillaume Carlier (CoRR, 2017)

Classification regions of deep neural networks. - Alhussein Fawzi; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard; Stefano Soatto (CoRR, 2017)

Multi-Label Segmentation via Residual-Driven Adaptive Regularization. - Byung-Woo Hong; Ja-Keoung Koo; Stefano Soatto (CoRR, 2017)

Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors. - Nikolaos Karianakis; Zicheng Liu 001; Yinpeng Chen; Stefano Soatto (CoRR, 2017)

Analysis of universal adversarial perturbations. - Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Omar Fawzi; Pascal Frossard; Stefano Soatto (CoRR, 2017)

Critical Learning Periods in Deep Neural Networks. - Alessandro Achille; Matteo Rovere; Stefano Soatto (CoRR, 2017)

DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images. - Jameson Tyler Merkow; Robert B. Lufkin; Kim Nguyen; Stefano Soatto; Zhuowen Tu; Andrea Vedaldi (CoRR, 2017)

Mathematics of Deep Learning. - René Vidal; Joan Bruna; Raja Giryes; Stefano Soatto (CoRR, 2017)

Empirical Study of the Topology and Geometry of Deep Networks. - Alhussein Fawzi; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard; Stefano Soatto (CVPR, 2018)

OATM: Occlusion Aware Template Matching by Consensus Set Maximization. - Simon Korman; Mark Milam; Stefano Soatto (CVPR, 2018)

SaaS: Speed as a Supervisor for Semi-supervised Learning. - Safa Cicek; Alhussein Fawzi; Stefano Soatto (ECCV (2), 2018)

Visual-Inertial Object Detection and Mapping. - Xiaohan Fei; Stefano Soatto (ECCV (11), 2018)

Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-identification. - Nikolaos Karianakis; Zicheng Liu 001; Yinpeng Chen; Stefano Soatto (ECCV (5), 2018)

Conditional Prior Networks for Optical Flow. - Yanchao Yang 001; Stefano Soatto (ECCV (15), 2018)

Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks. - Pratik Chaudhari; Stefano Soatto (ICLR (Poster), 2018)

Robustness of Classifiers to Universal Perturbations: A Geometric Perspective. - Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Omar Fawzi; Pascal Frossard; Stefano Soatto (ICLR (Poster), 2018)

A Separation Principle for Control in the Age of Deep Learning. - Alessandro Achille; Stefano Soatto (Annu. Rev. Control. Robotics Auton. Syst., 2018)

The Dynamics of Differential Learning I: Information-Dynamics and Task Reachability. - Alessandro Achille; Glen Mbeng; Stefano Soatto (CoRR, 2018)

Emergence of Invariance and Disentanglement in Deep Representations. - Alessandro Achille; Stefano Soatto (J. Mach. Learn. Res., 2018)

Information Dropout: Learning Optimal Representations Through Noisy Computation. - Alessandro Achille; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors. - Tong He 002; Stefano Soatto (AAAI, 2019)

MARL-PPS: Multi-agent Reinforcement Learning with Periodic Parameter Sharing. - Safa Cicek; Alireza Nakhaei; Stefano Soatto; Kikuo Fujimura (AAMAS, 2019)

Unsupervised Moving Object Detection via Contextual Information Separation. - Yanchao Yang 001; Antonio Loquercio; Davide Scaramuzza 001; Stefano Soatto (CVPR, 2019)

Dense Depth Posterior (DDP) From Single Image and Sparse Range. - Yanchao Yang 001; Alex Wong 001; Stefano Soatto (CVPR, 2019)

GeoNet: Deep Geodesic Networks for Point Cloud Analysis. - Tong He 002; Haibin Huang; Li Yi 001; Yuqian Zhou; Chihao Wu 001; Jue Wang 001; Stefano Soatto (CVPR, 2019)

Meta-Learning With Differentiable Convex Optimization. - Kwonjoon Lee; Subhransu Maji; Avinash Ravichandran; Stefano Soatto (CVPR, 2019)

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. - Alex Wong 001; Stefano Soatto (CVPR, 2019)

Task2Vec: Task Embedding for Meta-Learning. - Alessandro Achille; Michael Lam; Rahul Tewari; Avinash Ravichandran; Subhransu Maji; Charless C. Fowlkes; Stefano Soatto; Pietro Perona (ICCV, 2019)

Unsupervised Domain Adaptation via Regularized Conditional Alignment. - Safa Cicek; Stefano Soatto (ICCV, 2019)

Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. - Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ICCV, 2019)

Input and Weight Space Smoothing for Semi-Supervised Learning. - Safa Cicek; Stefano Soatto (ICCV Workshops, 2019)

Critical Learning Periods in Deep Networks. - Alessandro Achille; Matteo Rovere; Stefano Soatto (ICLR (Poster), 2019)

Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. - Aditya Golatkar; Alessandro Achille; Stefano Soatto (NeurIPS, 2019)

Finding Structure in Point Cloud Data with the Robust Isoperimetric Loss. - Shay Deutsch; Iacopo Masi; Stefano Soatto (SSVM, 2019)

Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction. - Alex Wong 001; Byung-Woo Hong; Stefano Soatto (CoRR, 2019)

The Information Complexity of Learning Tasks, their Structure and their Distance. - Alessandro Achille; Giovanni Paolini; Glen Mbeng; Stefano Soatto (CoRR, 2019)

VOICED: Depth Completion from Inertial Odometry and Vision. - Alex Wong 001; Xiaohan Fei; Stefano Soatto (CoRR, 2019)

Where is the Information in a Deep Neural Network? - Alessandro Achille; Stefano Soatto (CoRR, 2019)

Toward Understanding Catastrophic Forgetting in Continual Learning. - Cuong V. Nguyen; Alessandro Achille; Michael Lam; Tal Hassner; Vijay Mahadevan; Stefano Soatto (CoRR, 2019)

LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. - Albert Zhao; Tong He 002; Yitao Liang; Haibin Huang; Guy Van den Broeck; Stefano Soatto (CoRR, 2019)

Geo-Supervised Visual Depth Prediction. - Xiaohan Fei; Alex Wong 001; Stefano Soatto (IEEE Robotics Autom. Lett., 2019)

Zero Shot Learning with the Isoperimetric Loss. - Shay Deutsch; Andrea L. Bertozzi; Stefano Soatto (AAAI, 2020)

Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue. - Safa Cicek; Ning Xu 007; Zhaowen Wang; Hailin Jin; Stefano Soatto (ACCV (3), 2020)

DeepVoxels++: Enhancing the Fidelity of Novel View Synthesis from 3D Voxel Embeddings. - Tong He 002; John P. Collomosse; Hailin Jin; Stefano Soatto (ACCV (1), 2020)

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. - Albert Zhao; Tong He 002; Yitao Liang; Haibin Huang; Guy Van den Broeck; Stefano Soatto (CoRL, 2020)

FDA: Fourier Domain Adaptation for Semantic Segmentation. - Yanchao Yang 001; Stefano Soatto (CVPR, 2020)

Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. - Aditya Golatkar; Alessandro Achille; Stefano Soatto (CVPR, 2020)

Towards Backward-Compatible Representation Learning. - Yantao Shen 002; Yuanjun Xiong; Wei Xia; Stefano Soatto (CVPR, 2020)

Learning to Manipulate Individual Objects in an Image. - Yanchao Yang 001; Yutong Chen; Stefano Soatto (CVPR, 2020)

Phase Consistent Ecological Domain Adaptation. - Yanchao Yang 001; Dong Lao; Ganesh Sundaramoorthi; Stefano Soatto (CVPR, 2020)

Disentangled Image Generation for Unsupervised Domain Adaptation. - Safa Cicek; Ning Xu 007; Zhaowen Wang; Hailin Jin; Stefano Soatto (ECCV Workshops (1), 2020)

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. - Aditya Golatkar; Alessandro Achille; Stefano Soatto (ECCV (29), 2020)

Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. - Qing Liu; Orchid Majumder; Alessandro Achille; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ECCV (7), 2020)

A Baseline for Few-Shot Image Classification. - Guneet Singh Dhillon; Pratik Chaudhari; Avinash Ravichandran; Stefano Soatto (ICLR, 2020)

Meta-Q-Learning. - Rasool Fakoor; Pratik Chaudhari; Stefano Soatto; Alexander J. Smola (ICLR, 2020)

Rethinking the Hyperparameters for Fine-tuning. - Hao Li; Pratik Chaudhari; Hao Yang 043; Michael Lam; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ICLR, 2020)

Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance. - Alexander Schperberg; Kenny Chen; Stephanie Tsuei; Michael Jewett; Joshua Hooks; Stefano Soatto; Ankur Mehta; Dennis W. Hong (IROS, 2020)

Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction. - Tong He 002; John P. Collomosse; Hailin Jin; Stefano Soatto (NeurIPS, 2020)

Targeted Adversarial Perturbations for Monocular Depth Prediction. - Alex Wong 001; Safa Cicek; Stefano Soatto (NeurIPS, 2020)

Predicting Training Time Without Training. - Luca Zancato; Alessandro Achille; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (NeurIPS, 2020)

Incremental Learning for Metric-Based Meta-Learners. - Qing Liu; Orchid Majumder; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (CoRR, 2020)

Continual Universal Object Detection. - Xialei Liu; Hao Yang 043; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (CoRR, 2020)

Time-Supervised Primary Object Segmentation. - Yanchao Yang 001; Brian Lai; Stefano Soatto (CoRR, 2020)

Spectral Embedding of Graph Networks. - Shay Deutsch; Stefano Soatto (CoRR, 2020)

A Geometric Interpretation of Stochastic Gradient Descent Using Diffusion Metrics. - Rita Fioresi; Pratik Chaudhari; Stefano Soatto (Entropy, 2020)

Unsupervised Depth Completion From Visual Inertial Odometry. - Alex Wong 001; Xiaohan Fei; Stephanie Tsuei; Stefano Soatto (IEEE Robotics Autom. Lett., 2020)

Adaptive Regularization of Some Inverse Problems in Image Analysis. - Byung-Woo Hong; Ja-Keoung Koo; Martin Burger 001; Stefano Soatto (IEEE Trans. Image Process., 2020)

Dynamically Grown Generative Adversarial Networks. - Lanlan Liu; Yuting Zhang; Jia Deng 001; Stefano Soatto (AAAI, 2021)

Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. - Alex Wong 001; Mukund Mundhra; Stefano Soatto (AAAI, 2021)

Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates. - Yuqing Xie 001; Yi-An Lai; Yuanjun Xiong; Yi Zhang; Stefano Soatto (ACL/IJCNLP (1), 2021)

Small Lesion Segmentation in Brain MRIs with Subpixel Embedding. - Alex Wong 001; Allison Chen; Yangchao Wu; Safa Cicek; Alexandre Tiard; Byung-Woo Hong; Stefano Soatto (BrainLes@MICCAI (1), 2021)

DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping. - Yanchao Yang 001; Brian Lai; Stefano Soatto (CVPR, 2021)

LQF: Linear Quadratic Fine-Tuning. - Alessandro Achille; Aditya Golatkar; Avinash Ravichandran; Marzia Polito; Stefano Soatto (CVPR, 2021)

Learning Semantic-Aware Dynamics for Video Prediction. - Xinzhu Bei; Yanchao Yang 001; Stefano Soatto (CVPR, 2021)

Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. - Zhaowei Cai; Avinash Ravichandran; Subhransu Maji; Charless C. Fowlkes; Zhuowen Tu; Stefano Soatto (CVPR, 2021)

Compatibility-Aware Heterogeneous Visual Search. - Rahul Duggal; Hao Zhou; Shuo Yang 003; Yuanjun Xiong; Wei Xia; Zhuowen Tu; Stefano Soatto (CVPR, 2021)

Mixed-Privacy Forgetting in Deep Networks. - Aditya Golatkar; Alessandro Achille; Avinash Ravichandran; Marzia Polito; Stefano Soatto (CVPR, 2021)

Positive-Congruent Training: Towards Regression-Free Model Updates. - Sijie Yan; Yuanjun Xiong; Kaustav Kundu; Shuo Yang 003; Siqi Deng; Meng Wang; Wei Xia; Stefano Soatto (CVPR, 2021)

Unsupervised Depth Completion with Calibrated Backprojection Layers. - Alex Wong 001; Stefano Soatto (ICCV, 2021)

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. - Qi Dong; Zhuowen Tu; Haofu Liao; Yuting Zhang; Vijay Mahadevan; Stefano Soatto (ICCV, 2021)

ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. - Tong He 002; Yuanlu Xu; Shunsuke Saito; Stefano Soatto; Tony Tung (ICCV, 2021)

Learning Hierarchical Graph Neural Networks for Image Clustering. - Yifan Xing; Tong He 002; Tianjun Xiao; Yongxin Wang; Yuanjun Xiong; Wei Xia; David Wipf; Zheng Zhang 001; Stefano Soatto (ICCV, 2021)

Estimating informativeness of samples with Smooth Unique Information. - Hrayr Harutyunyan; Alessandro Achille; Giovanni Paolini; Orchid Majumder; Avinash Ravichandran; Rahul Bhotika; Stefano Soatto (ICLR, 2021)

Structured Prediction as Translation between Augmented Natural Languages. - Giovanni Paolini; Ben Athiwaratkun; Jason Krone; Jie Ma; Alessandro Achille; Rishita Anubhai; Cícero Nogueira dos Santos; Bing Xiang; Stefano Soatto (ICLR, 2021)

Learned Uncertainty Calibration for Visual Inertial Localization. - Stephanie Tsuei; Stefano Soatto; Paulo Tabuada; Mark B. Milam (ICRA, 2021)

Uniform Sampling over Episode Difficulty. - Sébastien M. R. Arnold; Guneet S. Dhillon; Avinash Ravichandran; Stefano Soatto (NeurIPS, 2021)

Long Short-Term Transformer for Online Action Detection. - Mingze Xu; Yuanjun Xiong; Hao Chen 024; Xinyu Li 003; Wei Xia; Zhuowen Tu; Stefano Soatto (NeurIPS, 2021)

Revisiting Contrastive Learning for Few-Shot Classification. - Orchid Majumder; Avinash Ravichandran; Subhransu Maji; Marzia Polito; Rahul Bhotika; Stefano Soatto (CoRR, 2021)

A linearized framework and a new benchmark for model selection for fine-tuning. - Aditya Deshpande; Alessandro Achille; Avinash Ravichandran; Hao Li; Luca Zancato; Charless C. Fowlkes; Rahul Bhotika; Stefano Soatto; Pietro Perona (CoRR, 2021)

Visual Composite Set Detection Using Part-and-Sum Transformers. - Qi Dong; Zhuowen Tu; Haofu Liao; Yuting Zhang; Vijay Mahadevan; Stefano Soatto (CoRR, 2021)

Harnessing Unrecognizable Faces for Face Recognition. - Siqi Deng; Yuanjun Xiong; Meng Wang; Wei Xia; Stefano Soatto (CoRR, 2021)

Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers. - Stephanie Tsuei; Aditya Golatkar; Stefano Soatto (CoRR, 2021)

Representation Consolidation for Training Expert Students. - Zhizhong Li; Avinash Ravichandran; Charless C. Fowlkes; Marzia Polito; Rahul Bhotika; Stefano Soatto (CoRR, 2021)

Redundant Information Neural Estimation. - Michael Kleinman; Alessandro Achille; Stefano Soatto; Jonathan C. Kao (Entropy, 2021)

Block-cyclic stochastic coordinate descent for deep neural networks. - Kensuke Nakamura 001; Stefano Soatto; Byung-Woo Hong (Neural Networks, 2021)

SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots. - Alexander Schperberg; Stephanie Tsuei; Stefano Soatto; Dennis W. Hong (IEEE Robotics Autom. Lett., 2021)

Learning Topology From Synthetic Data for Unsupervised Depth Completion. - Alex Wong 001; Safa Cicek; Stefano Soatto (IEEE Robotics Autom. Lett., 2021)

An Adaptive Framework for Learning Unsupervised Depth Completion. - Alex Wong 001; Xiaohan Fei; Byung-Woo Hong; Stefano Soatto (IEEE Robotics Autom. Lett., 2021)

Stereoscopic Universal Perturbations across Different Architectures and Datasets. - Zachary Berger; Parth Agrawal; Tian Yu Liu; Stefano Soatto; Alex Wong 001 (CVPR, 2022)

MeMOT: Multi-Object Tracking with Memory. - Jiarui Cai; Mingze Xu; Wei Li 044; Yuanjun Xiong; Wei Xia; Zhuowen Tu; Stefano Soatto (CVPR, 2022)

Mixed Differential Privacy in Computer Vision. - Aditya Golatkar; Alessandro Achille; Yu-Xiang Wang 003; Aaron Roth 001; Michael Kearns; Stefano Soatto (CVPR, 2022)

Task Adaptive Parameter Sharing for Multi-Task Learning. - Matthew Wallingford; Hao Li; Alessandro Achille; Avinash Ravichandran; Charless C. Fowlkes; Rahul Bhotika; Stefano Soatto (CVPR, 2022)

Omni-DETR: Omni-Supervised Object Detection with Transformers. - Pei Wang; Zhaowei Cai; Hao Yang 043; Gurumurthy Swaminathan; Nuno Vasconcelos; Bernt Schiele; Stefano Soatto (CVPR, 2022)

Class-Incremental Learning with Strong Pre-trained Models. - Tz-Ying Wu; Gurumurthy Swaminathan; Zhizhong Li; Avinash Ravichandran; Nuno Vasconcelos; Rahul Bhotika; Stefano Soatto (CVPR, 2022)

Not Just Streaks: Towards Ground Truth for Single Image Deraining. - Yunhao Ba; Howard Zhang; Ethan Yang; Akira Suzuki 002; Arnold Pfahnl; Chethan Chinder Chandrappa; Celso M. de Melo; Suya You; Stefano Soatto; Alex Wong 001; Achuta Kadambi (ECCV (7), 2022)

X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. - Zhaowei Cai; Gukyeong Kwon; Avinash Ravichandran; Erhan Bas; Zhuowen Tu; Rahul Bhotika; Stefano Soatto (ECCV (36), 2022)

DIVA: Dataset Derivative of a Learning Task. - Yonatan Dukler; Alessandro Achille; Giovanni Paolini; Avinash Ravichandran; Marzia Polito; Stefano Soatto (ICLR, 2022)

Semi-supervised Vision Transformers at Scale. - Zhaowei Cai; Avinash Ravichandran; Paolo Favaro; Manchen Wang; Davide Modolo; Rahul Bhotika; Zhuowen Tu; Stefano Soatto (NeurIPS, 2022)

On Leave-One-Out Conditional Mutual Information For Generalization. - Mohamad Rida Rammal; Alessandro Achille; Aditya Golatkar; Suhas N. Diggavi; Stefano Soatto (NeurIPS, 2022)

Contrastive Neighborhood Alignment. - Pengkai Zhu; Zhaowei Cai; Yuanjun Xiong; Zhuowen Tu; Luis Goncalves; Vijay Mahadevan; Stefano Soatto (CoRR, 2022)

Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. - Luca Zancato; Alessandro Achille; Giovanni Paolini; Alessandro Chiuso; Stefano Soatto (CoRR, 2022)

Does Monocular Depth Estimation Provide Better Pre-training than Classification for Semantic Segmentation? - Dong Lao; Alex Wong 001; Stefano Soatto (CoRR, 2022)

Towards Differential Relational Privacy and its use in Question Answering. - Simone Bombari; Alessandro Achille; Zijian Wang 002; Yu-Xiang Wang 003; Yusheng Xie; Kunwar Yashraj Singh; Srikar Appalaraju; Vijay Mahadevan; Stefano Soatto (CoRR, 2022)

Graph Spectral Embedding using the Geodesic Betweeness Centrality. - Shay Deutsch; Stefano Soatto (CoRR, 2022)

Towards Ground Truth for Single Image Deraining. - Yunhao Ba; Howard Zhang; Ethan Yang; Akira Suzuki 002; Arnold Pfahnl; Chethan Chinder Chandrappa; Celso de Melo; Suya You; Stefano Soatto; Alex Wong 001; Achuta Kadambi (CoRR, 2022)

On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake. - Alessandro Achille; Stefano Soatto (CoRR, 2022)

Stain-invariant self supervised learning for histopathology image analysis. - Alexandre Tiard; Alex Wong 001; David Joon Ho; Yangchao Wu; Eliram Nof; Stefano Soatto; Saad Nadeem (CoRR, 2022)

Integral Continual Learning Along the Tangent Vector Field of Tasks. - Tian Yu Liu; Aditya Golatkar; Stefano Soatto; Alessandro Achille (CoRR, 2022)

Stochastic batch size for adaptive regularization in deep network optimization. - Kensuke Nakamura 001; Stefano Soatto; Byung-Woo Hong (Pattern Recognit., 2022)

Graph Spectral Embedding using the Geodesic Betweenness Centrality. - Shay Deutsch; Stefano Soatto (AISTATS, 2023)

À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. - Benjamin Bowman; Alessandro Achille; Luca Zancato; Matthew Trager; Pramuditha Perera; Giovanni Paolini; Stefano Soatto (CVPR, 2023)

A Meta-Learning Approach to Predicting Performance and Data Requirements. - Achin Jain; Gurumurthy Swaminathan; Paolo Favaro; Hao Yang 043; Avinash Ravichandran; Hrayr Harutyunyan; Alessandro Achille; Onkar Dabeer; Bernt Schiele; Ashwin Swaminathan; Stefano Soatto (CVPR, 2023)

Critical Learning Periods for Multisensory Integration in Deep Networks. - Michael Kleinman; Alessandro Achille; Stefano Soatto (CVPR, 2023)

Guided Recommendation for Model Fine-Tuning. - Hao Li; Charless C. Fowlkes; Hao Yang 043; Onkar Dabeer; Zhuowen Tu; Stefano Soatto (CVPR, 2023)

Depth Estimation from Camera Image and mmWave Radar Point Cloud. - Akash Deep Singh; Yunhao Ba; Ankur Sarker; Howard Zhang; Achuta Kadambi; Stefano Soatto; Mani B. Srivastava; Alex Wong 001 (CVPR, 2023)

Train/Test-Time Adaptation with Retrieval. - Luca Zancato; Alessandro Achille; Tian Yu Liu; Matthew Trager; Pramuditha Perera; Stefano Soatto (CVPR, 2023)

SAFE: Machine Unlearning With Shard Graphs. - Yonatan Dukler; Benjamin Bowman; Alessandro Achille; Aditya Golatkar; Ashwin Swaminathan; Stefano Soatto (ICCV, 2023)

Tangent Model Composition for Ensembling and Continual Fine-tuning. - Tian Yu Liu; Stefano Soatto (ICCV, 2023)

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. - Matthew Trager; Pramuditha Perera; Luca Zancato; Alessandro Achille; Parminder Bhatia; Stefano Soatto (ICCV, 2023)

Masked Vision and Language Modeling for Multi-modal Representation Learning. - Gukyeong Kwon; Zhaowei Cai; Avinash Ravichandran; Erhan Bas; Rahul Bhotika; Stefano Soatto (ICLR, 2023)

Your representations are in the network: composable and parallel adaptation for large scale models. - Yonatan Dukler; Alessandro Achille; Hao Yang 043; Varsha Vivek; Luca Zancato; Benjamin Bowman; Avinash Ravichandran; Charless C. Fowlkes; Ashwin Swaminathan; Stefano Soatto (NeurIPS, 2023)

Leveraging sparse and shared feature activations for disentangled representation learning. - Marco Fumero; Florian Wenzel; Luca Zancato; Alessandro Achille; Emanuele Rodolà; Stefano Soatto; Bernhard Schölkopf; Francesco Locatello (NeurIPS, 2023)

Gacs-Korner Common Information Variational Autoencoder. - Michael Kleinman; Alessandro Achille; Stefano Soatto; Jonathan C. Kao (NeurIPS, 2023)

Harnessing Unrecognizable Faces for Improving Face Recognition. - Siqi Deng; Yuanjun Xiong; Meng Wang; Wei Xia; Stefano Soatto (WACV, 2023)

Linear Spaces of Meanings: the Compositional Language of VLMs. - Matthew Trager; Pramuditha Perera; Luca Zancato; Alessandro Achille; Parminder Bhatia; Bing Xiang; Stefano Soatto (CoRR, 2023)

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. - Yonatan Dukler; Alessandro Achille; Hao Yang 043; Varsha Vivek; Luca Zancato; Benjamin Bowman; Avinash Ravichandran; Charless C. Fowlkes; Ashwin Swaminathan; Stefano Soatto (CoRR, 2023)

Feature Tracks are not Zero-Mean Gaussian. - Stephanie Tsuei; Wenjie Mo 002; Stefano Soatto (CoRR, 2023)

Quantifying VIO Uncertainty. - Stephanie Tsuei; Stefano Soatto (CoRR, 2023)

Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots. - Dong Lao; Zhengyang Hu 002; Francesco Locatello; Yanchao Yang 001; Stefano Soatto (CoRR, 2023)

AI Model Disgorgement: Methods and Choices. - Alessandro Achille; Michael Kearns; Carson Klingenberg; Stefano Soatto (CoRR, 2023)

Musketeer (All for One, and One for All): A Generalist Vision-Language Model with Task Explanation Prompts. - Zhaoyang Zhang; Yantao Shen 002; Kunyu Shi; Zhaowei Cai; Jun Fang; Siqi Deng; Hao Yang 043; Davide Modolo; Zhuowen Tu; Stefano Soatto (CoRR, 2023)

Taming AI Bots: Controllability of Neural States in Large Language Models. - Stefano Soatto; Paulo Tabuada; Pratik Chaudhari; Tian Yu Liu (CoRR, 2023)

Prompt Algebra for Task Composition. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 2023)

Towards Visual Foundational Models of Physical Scenes. - Chethan Parameshwara; Alessandro Achille; Matthew Trager; Xiaolong Li; Jiawei Mo; Ashwin Swaminathan; CJ Taylor; Dheera Venkatraman; Xiaohan Fei; Stefano Soatto (CoRR, 2023)

Training Data Protection with Compositional Diffusion Models. - Aditya Golatkar; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (CoRR, 2023)

AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. - Yangchao Wu; Tian Yu Liu; Hyoungseob Park; Stefano Soatto; Dong Lao; Alex Wong 001 (CoRR, 2023)

Incorporating physics into data-driven computer vision. - Achuta Kadambi; Celso de Melo; Cho-Jui Hsieh; Mani B. Srivastava; Stefano Soatto (Nat. Mac. Intell., 2023)

Heat Death of Generative Models in Closed-Loop Learning. - Matteo Marchi; Stefano Soatto; Pratik Chaudhari; Paulo Tabuada (CDC, 2024)

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. - Alessandro Achille; Greg Ver Steeg; Tian Yu Liu; Matthew Trager; Carson Klingenberg; Stefano Soatto (CVPR, 2024)

Multi-Modal Hallucination Control by Visual Information Grounding. - Alessandro Favero; Luca Zancato; Matthew Trager; Siddharth Choudhary; Pramuditha Perera; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (CVPR, 2024)

Enhancing Vision-Language Pre-Training with Rich Supervisions. - Yuan Gao; Kunyu Shi; Pengkai Zhu; Edouard Belval; Oren Nuriel; Srikar Appalaraju; Shabnam Ghadar; Zhuowen Tu; Vijay Mahadevan; Stefano Soatto (CVPR, 2024)

CPR: Retrieval Augmented Generation for Copyright Protection. - Aditya Golatkar; Alessandro Achille; Luca Zancato; Yu-Xiang Wang 003; Ashwin Swaminathan; Stefano Soatto (CVPR, 2024)

THRONE: An Object-Based Hallucination Benchmark for the Free-Form Generations of Large Vision-Language Models. - Prannay Kaul; Zhizhong Li; Hao Yang 043; Yonatan Dukler; Ashwin Swaminathan; C. J. Taylor; Stefano Soatto (CVPR, 2024)

Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation. - Dong Lao; Congli Wang; Alex Wong 001; Stefano Soatto (CVPR, 2024)

On the Scalability of Diffusion-based Text-to-Image Generation. - Hao Li; Yang Zou; Ying Wang; Orchid Majumder; Yusheng Xie; R. Manmatha; Ashwin Swaminathan; Zhuowen Tu; Stefano Ermon; Stefano Soatto (CVPR, 2024)

Non-autoregressive Sequence-to-Sequence Vision-Language Models. - Kunyu Shi; Qi Dong; Luis Goncalves; Zhuowen Tu; Stefano Soatto (CVPR, 2024)

WorDepth: Variational Language Prior for Monocular Depth Estimation. - Ziyao Zeng; Daniel Wang 005; Fengyu Yang; Hyoungseob Park; Stefano Soatto; Dong Lao; Alex Wong 001 (CVPR, 2024)

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. - Benjamin Biggs; Arjun Seshadri; Yang Zou; Achin Jain; Aditya Golatkar; Yusheng Xie; Alessandro Achille; Ashwin Swaminathan; Stefano Soatto (ECCV (63), 2024)

On the Viability of Monocular Depth Pre-training for Semantic Segmentation. - Dong Lao; Fengyu Yang; Daniel Wang 005; Hyoungseob Park; Samuel Lu; Alex Wong 001; Stefano Soatto (ECCV (37), 2024)

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation. - Yangchao Wu; Tian Yu Liu; Hyoungseob Park; Stefano Soatto; Dong Lao; Alex Wong 001 (ECCV (64), 2024)

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. - Sungnyun Kim; Haofu Liao; Srikar Appalaraju; Peng Tang; Zhuowen Tu; Ravi Kumar Satzoda; R. Manmatha; Vijay Mahadevan; Stefano Soatto (EMNLP, 2024)

The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation. - Lawrence Stewart; Matthew Trager; Sujan K. Gonugondla; Stefano Soatto (ENLSP, 2024)

Snakes and Ladders: Accelerating SSM Inference with Speculative Decoding. - Yangchao Wu; Yonatan Dukler; Matthew Trager; Alessandro Achille; Wei Xia; Stefano Soatto (ENLSP, 2024)

Critical Learning Periods Emerge Even in Deep Linear Networks. - Michael Kleinman; Alessandro Achille; Stefano Soatto (ICLR, 2024)

Tangent Transformers for Composition, Privacy and Removal. - Tian Yu Liu; Aditya Golatkar; Stefano Soatto (ICLR, 2024)

Meaning Representations from Trajectories in Autoregressive Models. - Tian Yu Liu; Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (ICLR, 2024)

Fewer Truncations Improve Language Modeling. - Hantian Ding; Zijian Wang 002; Giovanni Paolini; Varun Kumar; Anoop Deoras; Dan Roth 001; Stefano Soatto (ICML, 2024)

Sub-token ViT Embedding via Stochastic Resonance Transformers. - Dong Lao; Yangchao Wu; Tian Yu Liu; Alex Wong 001; Stefano Soatto (ICML, 2024)

B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. - Luca Zancato; Arjun Seshadri; Yonatan Dukler; Aditya Golatkar; Yantao Shen 002; Benjamin Bowman; Matthew Trager; Alessandro Achille; Stefano Soatto (NeurIPS, 2024)

RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions. - Ziyao Zeng; Yangchao Wu; Hyoungseob Park; Daniel Wang 005; Fengyu Yang; Stefano Soatto; Dong Lao; Byung-Woo Hong; Alex Wong 001 (NeurIPS, 2024)

A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D. - Xiaohan Fei; Chethan Parameshwara; Jiawei Mo; Xiaolong Li; Ashwin Swaminathan; CJ Taylor; Paolo Favaro; Stefano Soatto (CoRR, 2024)

Fast Sparse View Guided NeRF Update for Object Reconfigurations. - Ziqi Lu; Jianbo Ye; Xiaohan Fei; Xiaolong Li; Jiawei Mo; Ashwin Swaminathan; Stefano Soatto (CoRR, 2024)

WorDepth: Variational Language Prior for Monocular Depth Estimation. - Ziyao Zeng; Daniel Wang 005; Fengyu Yang; Hyoungseob Park; Yangchao Wu; Stefano Soatto; Byung-Woo Hong; Dong Lao; Alex Wong 001 (CoRR, 2024)

Mixed-Query Transformer: A Unified Image Segmentation Architecture. - Pei Wang; Zhaowei Cai; Hao Yang 043; Ashwin Swaminathan; R. Manmatha; Stefano Soatto (CoRR, 2024)

Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. - Xiaolong Li; Jiawei Mo; Ying Wang; Chethan Parameshwara; Xiaohan Fei; Ashwin Swaminathan; CJ Taylor; Zhuowen Tu; Paolo Favaro; Stefano Soatto (CoRR, 2024)

NeRF-Insert: 3D Local Editing with Multimodal Control Signals. - Benet Oriol Sabat; Alessandro Achille; Matthew Trager; Stefano Soatto (CoRR, 2024)

Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. - Tian Yu Liu; Stefano Soatto; Matteo Marchi; Pratik Chaudhari; Paulo Tabuada (CoRR, 2024)

Cycles of Thought: Measuring LLM Confidence through Stable Explanations. - Evan Becker; Stefano Soatto (CoRR, 2024)

Compositional Structures in Neural Embedding and Interaction Decompositions. - Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (CoRR, 2024)

NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality. - Chaofan Tao; Gukyeong Kwon; Varad Gunjal; Hao Yang 043; Zhaowei Cai; Yonatan Dukler; Ashwin Swaminathan; R. Manmatha; Colin J. Taylor; Stefano Soatto (CoRR, 2024)

Conjuring Semantic Similarity. - Tian Yu Liu; Stefano Soatto (CoRR, 2024)

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation. - Hao Li; Shamit Lal; Zhiheng Li; Yusheng Xie; Ying Wang; Yang Zou; Orchid Majumder; R. Manmatha; Zhuowen Tu; Stefano Ermon; Stefano Soatto; Ashwin Swaminathan (CoRR, 2024)

Elodi: Ensemble Logit Difference Inhibition for Positive-Congruent Training. - Yue Zhao 006; Yantao Shen 002; Yuanjun Xiong; Shuo Yang 003; Wei Xia; Zhuowen Tu; Bernt Schiele; Stefano Soatto (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Scaling up Image Segmentation across Data and Tasks. - Pei Wang; Zhaowei Cai; Hao Yang 043; Ashwin Swaminathan; R. Manmatha; Stefano Soatto (CVPR, 2025)

PICASO: Permutation-Invariant Context Composition with State Space Models. - Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto (ICLR, 2025)

Observability of Latent States in Generative AI Models. - Tian Yu Liu; Stefano Soatto; Matteo Marchi; Pratik Chaudhari; Paulo Tabuada (NeuS, 2025)

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models. - Elvis Nunez; Luca Zancato; Benjamin Bowman; Aditya Golatkar; Wei Xia; Stefano Soatto (NeuS, 2025)

Descriminative-Generative Custom Tokens for Vision-Language Models. - Pramuditha Perera; Matthew Trager; Luca Zancato; Alessandro Achille; Stefano Soatto (CoRR, 2025)

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions. - Albert Zhao; Stefano Soatto (CoRR, 2025)

STree: Speculative Tree Decoding for Hybrid State-Space Models. - Yangchao Wu; Zongyue Qin; Alex Wong 001; Stefano Soatto (CoRR, 2025)

Maximally-Informative Retrieval for State Space Model Generation. - Evan Becker; Benjamin Bowman; Matthew Trager; Tian Yu Liu; Luca Zancato; Wei Xia; Stefano Soatto (CoRR, 2025)