Stella X. Yu
47 papers · 2010–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (78) π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Silver π Academic Marathon Β· Full π£ Hot Topic Early Bird
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Conference Loyalist
(25)
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Keyword Pioneer
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Keyword Champion
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Topic Evolution
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Grand Slam
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Renaissance Researcher
(8)
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(211)
Top co-authors
Research topics
Machine Learning
(29)
Computer Vision
(27)
Deep Learning
(24)
Learning Types Β· Deep Learning
(17)
Learning Types Β· Machine Learning
(16)
Analysis
(14)
Core Methods
(14)
Processing
(13)
Architectures
(10)
Artificial Intelligence
(8)
Core AI Β· Artificial Intelligence
(8)
Optimization & Theory
(8)
Application Areas
(5)
Core AI Β· Computer Vision
(5)
Interdisciplinary
(2)
Keywords
semantic segmentation
(9)
unsupervised learning
(8)
convolutional neural network
(6)
zero-shot learning
(6)
image classification
(5)
self-supervised learning
(5)
feature learning
(4)
deep learning
(3)
intrinsic image decomposition
(3)
video understanding
(3)
vision-language model
(3)
hyperbolic space
(3)
contrastive learning
(2)
semi-supervised learning
(2)
class imbalance
(2)
metric learning
(2)
visual attention
(2)
image segmentation
(2)
unsupervised feature learning
(2)
domain generalization
(2)
Papers
Free-Grained Hierarchical Visual Recognition
CVPR 2026
GeoSANE: Learning Geospatial Representations from Models, Not Data
CVPR 2026
Let Humanoids Hike! Integrative Skill Development on Complex Trails
CVPR 2025
Open Ad-hoc Categorization with Contextualized Feature Learning
CVPR 2025
Test-Time Canonicalization by Foundation Models for Robust Perception
ICML 2025
Visually Consistent Hierarchical Image Classification
ICLR 2025
Learning Hierarchical Image Segmentation For Recognition and By Recognition
ICLR 2024
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
ECCV 2024
SkinCON: Towards consensus for the uncertainty of skin cancer sub-typing through distribution regularized adaptive predictive sets (DRAPS)
MICCAI 2024
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
CVPR 2024
VEATIC: Video-Based Emotion and Affect Tracking in Context Dataset
WACV 2024
Zero-Shot Building Attribute Extraction From Large-Scale Vision and Language Models
WACV 2024
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping
CVPR 2023
Compact and Optimal Deep Learning With Recurrent Parameter Generators
WACV 2023
Cut and Learn for Unsupervised Object Detection and Instance Segmentation
CVPR 2023
Learning to Transform for Generalizable Instance-wise Invariance
ICCV 2023
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
NeurIPS 2023
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
CVPR 2022
Co-Domain Symmetry for Complex-Valued Deep Learning
CVPR 2022
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data
CVPR 2022
Debiased Learning From Naturally Imbalanced Pseudo-Labels
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
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos
NeurIPS 2021
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
AAAI 2021
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
CVPR 2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
CVPR 2021
Open Compound Domain Adaptation
CVPR 2020
Orthogonal Convolutional Neural Networks
CVPR 2020
Unsupervised Sketch to Photo Synthesis
ECCV 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
Adaptive Affinity Fields for Semantic Segmentation
ECCV 2018
Improving Generalization via Scalable Neighborhood Component Analysis
ECCV 2018
Unsupervised Feature Learning via Non-Parametric Instance Discrimination
CVPR 2018
Am I a Baller? Basketball Performance Assessment From First-Person Videos
ICCV 2017
Convolutional Random Walk Networks for Semantic Image Segmentation
CVPR 2017
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories
CVPR 2017
Multigrid Neural Architectures
CVPR 2017
Unsupervised Learning of Important Objects From First-Person Videos
ICCV 2017
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
CVPR 2016
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
ICCV 2015
FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences
CVPR 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
NeurIPS 2010