Yu, Stella X.

67 publications

CVPR 2025 Let Humanoids Hike! Integrative Skill Development on Complex Trails Kwan-Yee Lin, Stella X. Yu
NeurIPS 2025 Normalize Filters! Classical Wisdom for Deep Vision Gustavo Perez, Stella X. Yu
NeurIPS 2025 Novel View Synthesis from a Few Glimpses via Test-Time Natural Video Completion Yan Xu, Yixing Wang, Stella X. Yu
CVPR 2025 Open Ad-Hoc Categorization with Contextualized Feature Learning Zilin Wang, Sangwoo Mo, Stella X. Yu, Sima Behpour, Liu Ren
ICML 2025 Test-Time Canonicalization by Foundation Models for Robust Perception Utkarsh Singhal, Ryan Feng, Stella X. Yu, Atul Prakash
ICLR 2025 Visually Consistent Hierarchical Image Classification Seulki Park, Youren Zhang, Stella X. Yu, Sara Beery, Jonathan Huang
ICLR 2024 Learning Hierarchical Image Segmentation for Recognition and by Recognition Tsung-Wei Ke, Sangwoo Mo, Stella X. Yu
ECCV 2024 Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization Jiayun Wang, Yubei Chen, Stella X. Yu
CVPR 2024 Unsupervised Feature Learning with Emergent Data-Driven Prototypicality Yunhui Guo, Youren Zhang, Yubei Chen, 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 Zero-Shot Building Attribute Extraction from Large-Scale Vision and Language Models Fei Pan, Sangryul Jeon, Brian Wang, Frank Mckenna, Stella X. Yu
CVPR 2023 Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping Long Lian, Zhirong Wu, Stella X. Yu
WACV 2023 Compact and Optimal Deep Learning with Recurrent Parameter Generators Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
CVPR 2023 Cut and Learn for Unsupervised Object Detection and Instance Segmentation Xudong Wang, Rohit Girdhar, Stella X. Yu, Ishan Misra
NeurIPSW 2023 How to Guess a Gradient Utkarsh Singhal, Brian Cheung, Kartik Chandra, Jonathan Ragan-Kelley, Joshua B. Tenenbaum, Tomaso A Poggio, Stella X. Yu
ICCV 2023 Learning to Transform for Generalizable Instance-Wise Invariance Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu
NeurIPS 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
ECCVW 2022 3D Shape Reconstruction from Free-Hand Sketches Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
CVPR 2022 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, Yubei Chen, Stella X. Yu
CVPR 2022 Co-Domain Symmetry for Complex-Valued Deep Learning Utkarsh Singhal, Yifei Xing, Stella X. Yu
CVPR 2022 Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang, Zhirong Wu, Long Lian, 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, Stella X. Yu
ECCVW 2022 Unsupervised Scene Sketch to Photo Synthesis Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou
ECCV 2022 Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang, Long Lian, Stella X. Yu
NeurIPS 2021 The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos Runtao Liu, Zhirong Wu, Stella X. Yu, Stephen Lin
AAAI 2021 Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters Xudong Wang, Stella X. Yu
CVPR 2021 Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination Xudong Wang, Ziwei Liu, Stella X. Yu
CVPR 2021 Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang, Long Lian, Stella X. Yu
CVPRW 2020 C-SURE: Shrinkage Estimator and Prototype Classifier for Complex-Valued Deep Learning Rudrasis Chakraborty, Yifei Xing, Minxuan Duan, Stella X. Yu
ECCV 2020 Unsupervised Sketch to Photo Synthesis Runtao Liu, Qian Yu, Stella X. Yu
CVPRW 2019 Driving Scene Retrieval by Example from Large-Scale Data Sascha Hornauer, Baladitya Yellapragada, Arian Ranjbar, Stella X. Yu
CVPRW 2019 Sur-Real: Frechet Mean and Distance Transform for Complex-Valued Deep Learning Rudrasis Chakraborty, Jiayun Wang, Stella X. Yu
NeurIPSW 2019 Unsupervised Deep Basis Pursuit: Learning Inverse Problems Without Ground-Truth Data Jonathan I. Tamir, Stella X. Yu, Michael Lustig
CVPRW 2019 Visual Similarity from Optimizing Feature and Memory on a Hypersphere Xinlei Pan, Rudrasis Chakraborty, Stella X. Yu
ECCV 2018 Adaptive Affinity Fields for Semantic Segmentation Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, Stella X. Yu
ECCVW 2018 Imitation Learning of Path-Planned Driving Using Disparity-Depth Images Sascha Hornauer, Karl Zipser, Stella X. Yu
ECCV 2018 Improving Generalization via Scalable Neighborhood Component Analysis Zhirong Wu, Alexei A. Efros, Stella X. Yu
ECCVW 2018 Motion Selectivity of Neurons in Self-Driving Networks Baladitya Yellapragada, Alexander Anderson, Stella X. Yu, Karl Zipser
ICCV 2017 Am I a Baller? Basketball Performance Assessment from First-Person Videos Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi
CVPR 2017 Convolutional Random Walk Networks for Semantic Image Segmentation Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Jianbo Shi
CVPR 2017 Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories Jian Shi, Yue Dong, Hao Su, Stella X. Yu
CVPR 2017 Multigrid Neural Architectures Tsung-Wei Ke, Michael Maire, Stella X. Yu
ICCV 2017 Unsupervised Learning of Important Objects from First-Person Videos Gedas Bertasius, Hyun Soo Park, Stella X. Yu, Jianbo Shi
CVPR 2016 Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding Michael Maire, Takuya Narihira, Stella X. Yu
ICCV 2015 Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression 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, Alyosha A. Efros
CVPR 2015 Learning Lightness from Human Judgement on Relative Reflectance Takuya Narihira, Michael Maire, Stella X. Yu
ICCV 2013 Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation Michael Maire, Stella X. Yu
CVPR 2012 Power SVM: Generalization with Exemplar Classification Uncertainty Weiyu Zhang, Stella X. Yu, Shang-Hua Teng
ICCV 2011 Object Detection and Segmentation from Joint Embedding of Parts and Pixels Michael Maire, Stella X. Yu, Pietro Perona
NeurIPS 2010 Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike Stella X. Yu
CVPR 2010 Finding Dots: Segmentation as Popping Out Regions from Boundaries Elena Bernardis, Stella X. Yu
CVPRW 2010 Indoor-Outdoor Classification with Human Accuracies: Image or Edge Gist? Christina Pavlopoulou, Stella X. Yu
CVPRW 2010 Structural Correspondence as a Contour Grouping Problem Elena Bernardis, Stella X. Yu
CVPR 2009 Angular Embedding: From Jarring Intensity Differences to Perceived Luminance Stella X. Yu
CVPR 2009 Linear Solution to Scale and Rotation Invariant Object Matching Hao Jiang, Stella X. Yu
CVPRW 2008 Inferring Spatial Layout from a Single Image via Depth-Ordered Grouping Stella X. Yu, Hao Zhang, Jitendra Malik
CVPR 2005 Segmentation Induced by Scale Invariance Stella X. Yu
CVPR 2004 Segmentation Using Multiscale Cues Stella X. Yu
ICCV 2003 Multiclass Spectral Clustering Stella X. Yu, Jianbo Shi
CVPR 2003 Object-Specific Figure-Ground Segregation Stella X. Yu, Jianbo Shi
NeurIPS 2002 Concurrent Object Recognition and Segmentation by Graph Partitioning Stella X. Yu, Ralph Gross, Jianbo Shi
NeurIPS 2001 Grouping with Bias Stella X. Yu, Jianbo Shi
ICCV 2001 Segmentation with Pairwise Attraction and Repulsion Stella X. Yu, Jianbo Shi
CVPR 2001 Understanding Popout Through Repulsion Stella X. Yu, Jianbo Shi
NeurIPS 1999 An Information-Theoretic Framework for Understanding Saccadic Eye Movements Tai Sing Lee, Stella X. Yu