Stella X. Yu

45 papers · 2010–2025 · 9 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🐝 Cross-Pollinator (6) 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🏃 Academic Marathon (15) 🌈 Renaissance Researcher (10)

🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🏠 Conference Loyalist (23) 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 🔥 Unstoppable (11) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (45) ❓ The Questioner 📈 Trend Setter 🗃️ Keyword Collector (191)

Conferences

CVPR (23) ICCV (6) ECCV (5) NIPS (3) WACV (3) ICLR (2) AAAI (1) ICML (1) MICCAI (1)

Top co-authors

Xudong Wang (8) Yunhui Guo (6) Yubei Chen (5) Michael Maire (5) Jianbo Shi (5) Zhirong Wu (5) Tsung-Wei Ke (5) Long Lian (4) Ziwei Liu (4) jyh-Jing Hwang (4)

Keywords

unsupervised learning (8) semantic segmentation (7) convolutional neural network (6) self-supervised learning (5) zero-shot learning (5) feature learning (4) image classification (3) intrinsic image decomposition (3) deep learning (3) video understanding (3) hyperbolic space (3) contrastive learning (2) visual attention (2) metric learning (2) class imbalance (2) motion segmentation (2) image segmentation (2) domain adaptation (2) instance segmentation (2) domain generalization (2)

Papers

Test-Time Canonicalization by Foundation Models for Robust Perception ICML 2025 Visually Consistent Hierarchical Image Classification ICLR 2025 Open Ad-hoc Categorization with Contextualized Feature Learning CVPR 2025 Let Humanoids Hike! Integrative Skill Development on Complex Trails CVPR 2025 Learning Hierarchical Image Segmentation For Recognition and By Recognition ICLR 2024 Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization ECCV 2024 Zero-Shot Building Attribute Extraction From Large-Scale Vision and Language Models WACV 2024 Unsupervised Feature Learning with Emergent Data-Driven Prototypicality CVPR 2024 VEATIC: Video-Based Emotion and Affect Tracking in Context Dataset WACV 2024 SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS) MICCAI 2024 Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping CVPR 2023 ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction NIPS 2023 Compact and Optimal Deep Learning With Recurrent Parameter Generators WACV 2023 Learning to Transform for Generalizable Instance-wise Invariance ICCV 2023 Cut and Learn for Unsupervised Object Detection and Instance Segmentation CVPR 2023 Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers CVPR 2022 Debiased Learning From Naturally Imbalanced Pseudo-Labels CVPR 2022 CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data CVPR 2022 Co-Domain Symmetry for Complex-Valued Deep Learning CVPR 2022 Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers CVPR 2022 Unsupervised Selective Labeling for More Effective Semi-Supervised Learning ECCV 2022 Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination CVPR 2021 The Emergence of Objectness: Learning Zero-shot Segmentation from Videos NIPS 2021 Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters AAAI 2021 Unsupervised Visual Attention and Invariance for Reinforcement Learning CVPR 2021 Open Compound Domain Adaptation CVPR 2020 Unsupervised Sketch to Photo Synthesis ECCV 2020 Orthogonal Convolutional Neural Networks CVPR 2020 Adversarial Structure Matching for Structured Prediction Tasks CVPR 2019 Large-Scale Long-Tailed Recognition in an Open World CVPR 2019 SegSort: Segmentation by Discriminative Sorting of Segments ICCV 2019 Improving Generalization via Scalable Neighborhood Component Analysis ECCV 2018 Unsupervised Feature Learning via Non-Parametric Instance Discrimination CVPR 2018 Adaptive Affinity Fields for Semantic Segmentation ECCV 2018 Unsupervised Learning of Important Objects From First-Person Videos ICCV 2017 Am I a Baller? Basketball Performance Assessment From First-Person Videos ICCV 2017 Multigrid Neural Architectures CVPR 2017 Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories CVPR 2017 Convolutional Random Walk Networks for Semantic Image Segmentation CVPR 2017 Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding CVPR 2016 FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences CVPR 2015 Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression ICCV 2015 Learning Lightness From Human Judgement on Relative Reflectance CVPR 2015 Progressive Multigrid Eigensolvers for Multiscale Spectral Segmentation ICCV 2013 Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike NIPS 2010