An Information-Theoretic Framework for Understanding Saccadic Eye Movements. - Tai Sing Lee; Stella X. Yu (NIPS, 1999)

What do V1 neurons tell us about saccadic suppression? - Stella X. Yu; Tai Sing Lee (Neurocomputing, 2000)

Understanding Popout through Repulsion. - Stella X. Yu; Jianbo Shi (CVPR (2), 2001)

A Hierarchical Markov Random Field Model for Figure-Ground Segregation. - Stella X. Yu; Tai Sing Lee; Takeo Kanade (EMMCVPR, 2001)

Grouping with Directed Relationships. - Stella X. Yu; Jianbo Shi (EMMCVPR, 2001)

Segmentation with Pairwise Attraction and Repulsion. - Stella X. Yu; Jianbo Shi (ICCV, 2001)

Grouping with Bias. - Stella X. Yu; Jianbo Shi (NIPS, 2001)

Concurrent Object Recognition and Segmentation by Graph Partitioning. - Stella X. Yu; Ralph Gross; Jianbo Shi (NIPS, 2002)

Object-Specific Figure-Ground Segregation. - Stella X. Yu; Jianbo Shi (CVPR (2), 2003)

Multiclass Spectral Clustering. - Stella X. Yu; Jianbo Shi (ICCV, 2003)

Segmentation Using Multiscale Cues. - Stella X. Yu (CVPR (1), 2004)

Segmentation Given Partial Grouping Constraints. - Stella X. Yu; Jianbo Shi (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Segmentation Induced by Scale Invariance. - Stella X. Yu (CVPR (1), 2005)

Inferring spatial layout from a single image via depth-ordered grouping. - Stella X. Yu; Hao Zhang 003; Jitendra Malik (CVPR Workshops, 2008)

Linear solution to scale and rotation invariant object matching. - Hao Jiang 007; Stella X. Yu (CVPR, 2009)

Angular embedding: From jarring intensity differences to perceived luminance. - Stella X. Yu (CVPR, 2009)

Robust Segmentation by Cutting across a Stack of Gamma Transformed Images. - Elena Bernardis; Stella X. Yu (EMMCVPR, 2009)

Boundaries as Contours of Optimal Appearance and Area of Support. - Christina Pavlopoulou; Stella X. Yu (EMMCVPR, 2009)

A Unifying View of Contour Length Bias Correction. - Christina Pavlopoulou; Stella X. Yu (ISVC (1), 2009)

Edge-Preserving Laplacian Pyramid. - Stella X. Yu (ISVC (1), 2009)

Image Compression Based on Visual Saliency at Individual Scales. - Stella X. Yu; Dimitri A. Lisin (ISVC (1), 2009)

Finding dots: Segmentation as popping out regions from boundaries. - Elena Bernardis; Stella X. Yu (CVPR, 2010)

Structural correspondence as a contour grouping problem. - Elena Bernardis; Stella X. Yu (CVPR Workshops, 2010)

Indoor-outdoor classification with human accuracies: Image or edge gist? - Christina Pavlopoulou; Stella X. Yu (CVPR Workshops, 2010)

Classification and feature selection with human performance data. - Christina Pavlopoulou; Stella X. Yu (ICIP, 2010)

Segmentation Subject to Stitching Constraints: Finding Many Small Structures in a Large Image. - Elena Bernardis; Stella X. Yu (MICCAI (1), 2010)

Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike. - Stella X. Yu (NIPS, 2010)

Object detection and segmentation from joint embedding of parts and pixels. - Michael Maire; Stella X. Yu; Pietro Perona (ICCV, 2011)

Pop out many small structures from a very large microscopic image. - Elena Bernardis; Stella X. Yu (Medical Image Anal., 2011)

Linear Scale and Rotation Invariant Matching. - Hao Jiang 007; Stella X. Yu; David R. Martin 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Power SVM: Generalization with exemplar classification uncertainty. - Weiyu Zhang; Stella X. Yu; Shang-Hua Teng (CVPR, 2012)

Angular Embedding: A Robust Quadratic Criterion. - Stella X. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Hierarchical Scene Annotation. - Michael Maire; Stella X. Yu; Pietro Perona (BMVC, 2013)

Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation. - Michael Maire; Stella X. Yu (ICCV, 2013)

Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. - Michael Maire; Stella X. Yu; Pietro Perona (ACCV (4), 2014)

Learning lightness from human judgement on relative reflectance. - Takuya Narihira; Michael Maire; Stella X. Yu (CVPR, 2015)

FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences. - Tinghui Zhou; Yong Jae Lee; Stella X. Yu; Alexei A. Efros (CVPR, 2015)

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. - Takuya Narihira; Michael Maire; Stella X. Yu (ICCV, 2015)

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. - Takuya Narihira; Damian Borth; Stella X. Yu; Karl Ni; Trevor Darrell (CoRR, 2015)

Constrained Structured Regression with Convolutional Neural Networks. - Deepak Pathak; Philipp Krähenbühl; Stella X. Yu; Trevor Darrell (CoRR, 2015)

The perception of symmetry in the moving image: multi-level computational analysis of cinematographic scene structure and its visual reception. - Jakob Suchan; Mehul Bhatt; Stella X. Yu (SAP, 2016)

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. - Michael Maire; Takuya Narihira; Stella X. Yu (CVPR, 2016)

Fine-to-coarse knowledge transfer for low-res image classification. - Xingchao Peng; Judy Hoffman; Stella X. Yu; Kate Saenko (ICIP, 2016)

Am I a Baller? Basketball Skill Assessment using First-Person Cameras. - Gedas Bertasius; Stella X. Yu; Hyun Soo Park; Jianbo Shi (CoRR, 2016)

Exploiting Visual-Spatial First-Person Co-Occurrence for Action-Object Detection without Labels. - Gedas Bertasius; Stella X. Yu; Jianbo Shi (CoRR, 2016)

Neural Multigrid. - Tsung-Wei Ke; Michael Maire; Stella X. Yu (CoRR, 2016)

Convolutional Random Walk Networks for Semantic Image Segmentation. - Gedas Bertasius; Lorenzo Torresani; Stella X. Yu; Jianbo Shi (CVPR, 2017)

Multigrid Neural Architectures. - Tsung-Wei Ke; Michael Maire; Stella X. Yu (CVPR, 2017)

Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories. - Jian Shi; Yue Dong 001; Hao Su; Stella X. Yu (CVPR, 2017)

Unsupervised Learning of Important Objects from First-Person Videos. - Gedas Bertasius; Hyun Soo Park; Stella X. Yu; Jianbo Shi (ICCV, 2017)

Am I a Baller? Basketball Performance Assessment from First-Person Videos. - Gedas Bertasius; Hyun Soo Park; Stella X. Yu; Jianbo Shi (ICCV, 2017)

Mooney face classification and prediction by learning across tone. - Tsung-Wei Ke; Stella X. Yu; David Whitney (ICIP, 2017)

Ground2sky label transfer for fine-grained aerial car recognition. - Baochen Sun; Xingchao Peng; Stella X. Yu; Kate Saenko (ICIP, 2017)

Better than real: Complex-valued neural nets for MRI fingerprinting. - Patrick Virtue; Stella X. Yu; Michael Lustig (ICIP, 2017)

Image Quality Assessment by Comparing CNN Features between Images. - Seyed Ali Amirshahi; Marius Pedersen; Stella X. Yu (IQSP, 2017)

First-Person Action-Object Detection with EgoNet. - Gedas Bertasius; Hyun Soo Park; Stella X. Yu; Jianbo Shi (Robotics: Science and Systems, 2017)

Measuring Unsupervised-Supervised Real-Life Training of an Autonomous Model Car. - Sascha Hornauer; Karl Zipser; Stella X. Yu (CoRR, 2017)

Joint Embedding and Classification for SAR Target Recognition. - Jiayun Wang; Patrick Virtue; Stella X. Yu (CoRR, 2017)

CNN Feature Similarity: Paintings Are More Self-Similar at All Levels. - Seyed Ali Amirshahi; Stella X. Yu (CVCS, 2018)

Unsupervised Feature Learning via Non-Parametric Instance Discrimination. - Zhirong Wu; Yuanjun Xiong; Stella X. Yu; Dahua Lin (CVPR, 2018)

Imitation Learning of Path-Planned Driving Using Disparity-Depth Images. - Sascha Hornauer; Karl Zipser; Stella X. Yu (ECCV Workshops (5), 2018)

Adaptive Affinity Fields for Semantic Segmentation. - Tsung-Wei Ke; Jyh-Jing Hwang; Ziwei Liu 002; Stella X. Yu (ECCV (1), 2018)

Improving Generalization via Scalable Neighborhood Component Analysis. - Zhirong Wu; Alexei A. Efros; Stella X. Yu (ECCV (7), 2018)

Motion Selectivity of Neurons in Self-driving Networks. - Baladitya Yellapragada; Alexander Anderson; Stella X. Yu; Karl Zipser (ECCV Workshops (5), 2018)

Adaptive Affinity Field for Semantic Segmentation. - Tsung-Wei Ke; Jyh-Jing Hwang; Ziwei Liu 002; Stella X. Yu (CoRR, 2018)

Learning Beyond Human Expertise with Generative Models for Dental Restorations. - Jyh-Jing Hwang; Sergei Azernikov; Alexei A. Efros; Stella X. Yu (CoRR, 2018)

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination. - Zhirong Wu; Yuanjun Xiong; Stella X. Yu; Dahua Lin (CoRR, 2018)

Adversarial Structure Matching Loss for Image Segmentation. - Jyh-Jing Hwang; Tsung-Wei Ke; Jianbo Shi; Stella X. Yu (CoRR, 2018)

Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability. - Jakob Suchan; Mehul Bhatt; Srikrishna Varadarajan; Seyed Ali Amirshahi; Stella X. Yu (CoRR, 2018)

Large-Scale Long-Tailed Recognition in an Open World. - Ziwei Liu 002; Zhongqi Miao; Xiaohang Zhan; Jiayun Wang; Boqing Gong; Stella X. Yu (CVPR, 2019)

Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning. - Rudrasis Chakraborty; Jiayun Wang; Stella X. Yu (CVPR Workshops, 2019)

Driving Scene Retrieval by Example from Large-Scale Data. - Sascha Hornauer; Baladitya Yellapragada; Arian Ranjbar; Stella X. Yu (CVPR Workshops, 2019)

Adversarial Structure Matching for Structured Prediction Tasks. - Jyh-Jing Hwang; Tsung-Wei Ke; Jianbo Shi; Stella X. Yu (CVPR, 2019)

Visual Similarity from Optimizing Feature and Memory On A Hypersphere. - Xinlei Pan; Rudrasis Chakraborty; Stella X. Yu (CVPR Workshops, 2019)

SegSort: Segmentation by Discriminative Sorting of Segments. - Jyh-Jing Hwang; Stella X. Yu; Jianbo Shi; Maxwell D. Collins; Tien-Ju Yang; Xiao Zhang; Liang-Chieh Chen (ICCV, 2019)

SurReal: Fréchet Mean and Distance Transform for Complex-Valued Deep Learning. - Rudrasis Chakraborty; Jiayun Wang; Stella X. Yu (CoRR, 2019)

Spatial Transformer for 3D Points. - Jiayun Wang; Rudrasis Chakraborty; Stella X. Yu (CoRR, 2019)

Compound Domain Adaptation in an Open World. - Ziwei Liu 002; Zhongqi Miao; Xingang Pan; Xiaohang Zhan; Stella X. Yu; Dahua Lin; Boqing Gong (CoRR, 2019)

An Unpaired Sketch-to-Photo Translation Model. - Runtao Liu; Qian Yu; Stella X. Yu (CoRR, 2019)

Building Information Modeling and Classification by Visual Learning At A City Scale. - Qian Yu; Chaofeng Wang; Barbaros Cetiner; Stella X. Yu; Frank McKenna; Ertugrul Taciroglu; Kincho H. Law (CoRR, 2019)

Surreal: Complex-Valued Deep Learning as Principled Transformations on a Rotational Lie Group. - Rudrasis Chakraborty; Yifei Xing 001; Stella X. Yu (CoRR, 2019)

POIRot: A rotation invariant omni-directional pointnet. - Liu Yang; Rudrasis Chakraborty; Stella X. Yu (CoRR, 2019)

Open Compound Domain Adaptation. - Ziwei Liu 002; Zhongqi Miao; Xingang Pan; Xiaohang Zhan; Dahua Lin; Stella X. Yu; Boqing Gong (CVPR, 2020)

C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning. - Rudrasis Chakraborty; Yifei Xing 001; Minxuan Duan; Stella X. Yu (CVPR Workshops, 2020)

Orthogonal Convolutional Neural Networks. - Jiayun Wang; Yubei Chen; Rudrasis Chakraborty; Stella X. Yu (CVPR, 2020)

Unsupervised Sketch to Photo Synthesis. - Runtao Liu; Qian Yu; Stella X. Yu (ECCV (3), 2020)

BatVision: Learning to See 3D Spatial Layout with Two Ears. - Jesper Haahr Christensen; Sascha Hornauer; Stella X. Yu (ICRA, 2020)

Scene Novelty Prediction from Unsupervised Discriminative Feature Learning. - Arian Ranjbar; Chun-Hsiao Yeh; Sascha Hornauer; Stella X. Yu; Ching-Yao Chan (ITSC, 2020)

BatVision with GCC-PHAT Features for Better Sound to Vision Predictions. - Jesper Haahr Christensen; Sascha Hornauer; Stella X. Yu (CoRR, 2020)

Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups. - Xudong Wang 007; Ziwei Liu 002; Stella X. Yu (CoRR, 2020)

Unsupervised deep learning for grading of age-related macular degeneration using retinal fundus images. - Baladitya Yellapragada; Sascha Hornauer; Kiersten Snyder; Stella X. Yu; Glenn Yiu (CoRR, 2020)

Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. - Xudong Wang 007; Stella X. Yu (AAAI, 2021)

Improve Image-based Skin Cancer Diagnosis with Generative Self-Supervised Learning. - Zhihang Ren; Yunhui Guo; Stella X. Yu; David Whitney (CHASE, 2021)

Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. - Xudong Wang 007; Ziwei Liu 002; Stella X. Yu (CVPR, 2021)

Unsupervised Visual Attention and Invariance for Reinforcement Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (CVPR, 2021)

Controllable Medical Image Generation via Generative Adversarial Networks. - Zhihang Ren; Stella X. Yu; David Whitney (HVEI, 2021)

Unsupervised Discriminative Learning of Sounds for Audio Event Classification. - Sascha Hornauer; Ke Li 012; Stella X. Yu; Shabnam Ghaffarzadegan; Liu Ren (ICASSP, 2021)

Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning. - Tsung-Wei Ke; Jyh-Jing Hwang; Stella X. Yu (ICLR, 2021)

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. - Xudong Wang 007; Long Lian; Zhongqi Miao; Ziwei Liu 002; Stella X. Yu (ICLR, 2021)

Memory-Efficient Learning for High-Dimensional MRI Reconstruction. - Ke Wang; Michael R. Kellman; Christopher M. Sandino; Kevin Zhang 003; Shreyas S. Vasanawala; Jonathan I. Tamir; Stella X. Yu; Michael Lustig (MICCAI (6), 2021)

Contextual Image Parsing via Panoptic Segment Sorting. - Jyh-Jing Hwang; Tsung-Wei Ke; Stella X. Yu (MULL @ ACM Multimedia, 2021)

The Emergence of Objectness: Learning Zero-shot Segmentation from Videos. - Runtao Liu; Zhirong Wu; Stella X. Yu; Stephen Lin 001 (NeurIPS, 2021)

Recurrent Parameter Generators. - Jiayun Wang; Yubei Chen; Stella X. Yu; Brian Cheung; Yann LeCun (CoRR, 2021)

Free Hyperbolic Neural Networks with Limited Radii. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CoRR, 2021)

High Fidelity Deep Learning-based MRI Reconstruction with Instance-wise Discriminative Feature Matching Loss. - Ke Wang; Jonathan I. Tamir; Alfredo De Goyeneche; Uri Wollner; Rafi Brada; Stella X. Yu; Michael Lustig (CoRR, 2021)

Data-Centric Semi-Supervised Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (CoRR, 2021)

Iterative human and automated identification of wildlife images. - Zhongqi Miao; Ziwei Liu 002; Kaitlyn M. Gaynor; Meredith S. Palmer; Stella X. Yu; Wayne M. Getz (Nat. Mach. Intell., 2021)

CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. - Yunhui Guo; Haoran Guo; Stella X. Yu (CVPR, 2022)

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CVPR, 2022)

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. - Tsung-Wei Ke; Jyh-Jing Hwang; Yunhui Guo; Xudong Wang 007; Stella X. Yu (CVPR, 2022)

Co-domain Symmetry for Complex-Valued Deep Learning. - Utkarsh Singhal; Yifei Xing 001; Stella X. Yu (CVPR, 2022)

Debiased Learning from Naturally Imbalanced Pseudo-Labels. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CVPR, 2022)

Unsupervised Scene Sketch to Photo Synthesis. - Jiayun Wang; Sangryul Jeon; Stella X. Yu; Xi Zhang; Himanshu Arora; Yu Lou 003 (ECCV Workshops (2), 2022)

Unsupervised Selective Labeling for More Effective Semi-supervised Learning. - Xudong Wang 007; Long Lian; Stella X. Yu (ECCV (30), 2022)

3D Shape Reconstruction from Free-Hand Sketches. - Jiayun Wang; Jierui Lin; Qian Yu; Runtao Liu; Yubei Chen; Stella X. Yu (ECCV Workshops (8), 2022)

Complex-valued Butterfly Transform for Efficient Hyperspectral Image Processing. - Utkarsh Singhal; Stella X. Yu (IJCNN, 2022)

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. - Xudong Wang 007; Zhirong Wu; Long Lian; Stella X. Yu (CoRR, 2022)

CAST: Concurrent Recognition and Segmentation with Adaptive Segment Tokens. - Tsung-Wei Ke; Stella X. Yu (CoRR, 2022)

Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models. - Utkarsh Singhal; Stella X. Yu; Zackery Steck; Scott Kangas; Aaron A. Reite (CoRR, 2022)

Tracking the Dynamics of the Tear Film Lipid Layer. - Tejasvi Kothapalli; Charlie Shou; Jennifer Ding; Jiayun Wang; Andrew D. Graham; Tatyana Svitova; Stella X. Yu; Meng C. Lin (CoRR, 2022)

Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. - Long Lian; Zhirong Wu; Stella X. Yu (CoRR, 2022)

High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting. - Ke Wang; Mariya Doneva; Jakob Meineke; Thomas Amthor; Ekin Karasan; Fei Tan 003; Jonathan I. Tamir; Stella X. Yu; Michael Lustig (CoRR, 2022)

AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images. - Yunhui Guo; Chaofeng Wang; Stella X. Yu; Frank McKenna; Kincho H. Law (J. Comput. Civ. Eng., 2022)

Transformer for 3D Point Clouds. - Jiayun Wang; Rudrasis Chakraborty; Stella X. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Safety Monitoring of Neural Networks Using Unsupervised Feature Learning and Novelty Estimation. - Arian Ranjbar; Sascha Hornauer; Jonas Fredriksson; Stella X. Yu; Ching-Yao Chan (IEEE Trans. Intell. Veh., 2022)

SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold. - Rudrasis Chakraborty; Yifei Xing 001; Stella X. Yu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Controllable Medical Image Generation via GAN. - Zhihang Ren; Stella X. Yu; David Whitney (J. Percept. Imaging, 2022)

Cut and Learn for Unsupervised Object Detection and Instance Segmentation. - Xudong Wang 007; Rohit Girdhar; Stella X. Yu; Ishan Misra (CVPR, 2023)

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. - Long Lian; Zhirong Wu; Stella X. Yu (CVPR, 2023)

Learning to Transform for Generalizable Instance-wise Invariance. - Utkarsh Singhal; Carlos Esteves; Ameesh Makadia; Stella X. Yu (ICCV, 2023)

The Audio-Visual BatVision Dataset for Research on Sight and Sound. - Amandine Brunetto; Sascha Hornauer; Stella X. Yu; Fabien Moutarde (IROS, 2023)

ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction. - Alfredo De Goyeneche Macaya; Shreya Ramachandran; Ke Wang; Ekin Karasan; Joseph Y. Cheng; Stella X. Yu; Michael Lustig (NeurIPS, 2023)

Compact and Optimal Deep Learning with Recurrent Parameter Generators. - Jiayun Wang; Yubei Chen; Stella X. Yu; Brian Cheung; Yann LeCun (WACV, 2023)

How to guess a gradient. - Utkarsh Singhal; Brian Cheung; Kartik Chandra; Jonathan Ragan-Kelley; Joshua B. Tenenbaum; Tomaso A. Poggio; Stella X. Yu (CoRR, 2023)

Debiased Learning for Remote Sensing Data. - Chun-Hsiao Yeh; Xudong Wang 007; Stella X. Yu; Charles Hill; Zackery Steck; Scott Kangas; Aaron A. Reite (CoRR, 2023)

Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition. - Dong-Jin Kim 003; Zhongqi Miao; Yunhui Guo; Stella X. Yu (IEEE Signal Process. Lett., 2023)

Local pseudo-attributes for long-tailed recognition. - Dong-Jin Kim 003; Tsung-Wei Ke; Stella X. Yu (Pattern Recognit. Lett., 2023)

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. - Yunhui Guo; Youren Zhang; Yubei Chen; Stella X. Yu (CVPR, 2024)

Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization. - Jiayun Wang; Yubei Chen; Stella X. Yu (ECCV (21), 2024)

Learning Hierarchical Image Segmentation For Recognition and By Recognition. - Tsung-Wei Ke; Sangwoo Mo; Stella X. Yu (ICLR, 2024)

SkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing Through Distribution Regularized Adaptive Predictive Sets (DRAPS). - Zhihang Ren; Yunqi Li; Xinyu Li; Xinrong Xie; Erik P. Duhaime; Kathy Fang; Tapabrata Chakraborti; Yunhui Guo; Stella X. Yu; David Whitney (MICCAI (1), 2024)

Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models. - Fei Pan; Sangryul Jeon; Brian Wang; Frank McKenna; Stella X. Yu (WACV, 2024)

VEATIC: Video-based Emotion and Affect Tracking in Context Dataset. - Zhihang Ren; Jefferson Ortega; Yifan Wang; Zhimin Chen; Yunhui Guo; Stella X. Yu; David Whitney (WACV, 2024)

Trajectory Regularization Enhances Self-Supervised Geometric Representation. - Jiayun Wang; Stella X. Yu; Yubei Chen (CoRR, 2024)

Learning Hierarchical Semantic Classification by Grounding on Consistent Image Segmentations. - Seulki Park; Youren Zhang; Stella X. Yu; Sara Beery; Jonathan Huang (CoRR, 2024)

Coordinate-based neural representations for computational adaptive optics in widefield microscopy. - Iksung Kang; Qinrong Zhang; Stella X. Yu; Na Ji (Nat. Mac. Intell., 2024)

Open Long-Tailed Recognition in a Dynamic World. - Ziwei Liu 002; Zhongqi Miao; Xiaohang Zhan; Jiayun Wang; Boqing Gong; Stella X. Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Let Humanoids Hike! Integrative Skill Development on Complex Trails. - Kwan-Yee Lin; Stella X. Yu (CVPR, 2025)

Open Ad-hoc Categorization with Contextualized Feature Learning. - Zilin Wang; Sangwoo Mo; Stella X. Yu; Sima Behpour; Liu Ren (CVPR, 2025)

Visually Consistent Hierarchical Image Classification. - Seulki Park; Youren Zhang; Stella X. Yu; Sara Beery; Jonathan Huang (ICLR, 2025)

Author Correction: Coordinate-based neural representations for computational adaptive optics in widefield microscopy. - Iksung Kang; Qinrong Zhang; Stella X. Yu; Na Ji (Nat. Mac. Intell., 2025)

Normalize Filters! Classical Wisdom for Deep Vision. - Gustavo Pérez; Stella X. Yu (CoRR, 2025)

Test-Time Canonicalization by Foundation Models for Robust Perception. - Utkarsh Singhal; Ryan Feng; Stella X. Yu; Atul Prakash 001 (CoRR, 2025)