Stella Yu
Professor, EECS – Computer Science and Engineering
Studies visual perception in computer vision, including unsupervised and grouping-based learning of visual representations.
Stella Yu's lab at Michigan works on recognition, detection & segmentation and robot perception & SLAM. 45 papers since 2023, 23 at top venues, mostly CVPR and NeurIPS. 10 PhD students and 5 master's students. 59 alumni. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 51%
- PhD students
- 10
- MS students
- 5
- alumni listed
- 59
Papers by yearfrom the lab homepage, 2023–2026
- 11 papers2026 · T1 8 · collecting
- 10 papers2025 · T1 6
- 11 papers2024 · T1 4
- 13 papers2023 · T1 5
T1 venuesOtherVenues: CVPR, NeurIPS, WACV, ICLR, CoRL
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation8 papers
- unsupervised3 papers
- Robot perception & SLAM2 papers
- visual2 papers
- studies visual0 papers
Paper list
From the lab homepage.
202611 papers
- Nature Methods (T1)Adaptive Optical Correction for in vivo Two-Photon Fluorescence Microscopy with Neural Fields
- NeurIPS (T1)Aligning Forest and Trees in Images and Long Captions for Visually Grounded Understanding
- NeurIPS (T1)Dense Flow from Adaptive Correspondence
- CVPR (T1)Free-Grained Hierarchical Recognition
- CVPR (T1)GeoSANE: Learning Geospatial Representations From Models, Not Data
- TGRSNoise-Tolerant Novel-View SAR Synthesis via Denoising Diffusion
- CoRL (T1)PRISM: Polynomial Representations for Interaction-Structured Motor Control
- TMLR (T1)SHED Light on Segmentation for Depth Estimation
- ICRA (T1)Unified Humanoid Fall-Safety Policy from A Few Demonstrations
- RA-LUnified Perceptive Fall Safety for Humanoids
- NeurIPS WorkshopWhere to Hitch? Finding Small, Rare Parts Across Long Spatiotemporal Contexts
202510 papers
- Nature Scientific ReportsArtificial Intelligence Models Utilize Lifestyle Factors to Predict Dry Eye-Related Outcomes
- Annual Meeting International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii, 10-15 MayHow to Print Your Marker: An Open-Source, Easy-to-Make, Compact Active Wireless Marker for Motion Tracking
- CVPR (T1)Let Humanoids Hike! Integrative Skill Development over Complex Trails
- NeurIPS (T1)Normalize Filters! Classical Wisdom for Deep Vision
- NeurIPS (T1)Novel View Synthesis from A Few Glimpses via Test-Time Natural Video Completion
- CVPR (T1)Open Ad-hoc Categorization with Contextualized Feature Learning
- ICML (T1)Test-Time Canonicalization by Foundation Models for Robust Perception
- Annual Meeting International Society for Magnetic Resonance in Medicine, Honolulu, Hawaii, 10-15 MayTowards Accurate and Automated TMS Coil Placement with A Robotic System in MRI: A Preliminary Study
- ICLR (T1)Visually Consistent Hierarchical Image Classification
- NeurIPS WorkshopWholly Unsupervised! Segmenting Objects by Contrast and Context
202411 papers
- CVPR WorkshopBEAT: Berkeley Emotion and Affect Tracking Dataset
- Nature Machine Intelligence (T1)Coordinate-based Neural Representations for Computational Adaptive Optics in Widefield Microscopy
- PLOS ONEDeep Learning Workflow to Support In-flight Processing of Digital Aerial Imagery for Wildlife Population Surveys
- Translational Vision Science and Technology, 13(6)Enhancing Meibography Image Analysis Through Artificial Intelligence-Driven Quantification and Standardization for Dry Eye Research
- ICLR (T1)Learning Hierarchical Image Segmentation For Recognition and By Recognition
- ECCV (T1)Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
- CVPR WorkshopRegion-Based Emotion Recognition via Superpixel Feature Pooling
- International Conference on Medical Image Computing and Computer Assisted Intervention, Marrakesh, Morocco, 6-10 OctoberSkinCON: Towards Consensus for the Uncertainty of Skin Cancer Sub-typing through Distribution Regularized Adaptive Predictive Sets (DRAPS)
- CVPR (T1)Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
- WACVVEATIC: Video-based Emotion and Affect Tracking in Context Dataset
- WACVZero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
202313 papers
- CVPR (T1)Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
- Remote Sensing in Ecology and ConservationChallenges and Solutions for Automated Avian Recognition in Aerial Imagery
- WACVCompact and Optimal Deep Learning with Recurrent Parameter Generators
- CVPR (T1)Cut and Learn for Unsupervised Object Detection and Instance Segmentation
- CVPR WorkshopDebiased Learning from Naturally Imbalanced Remote Sensing Data
- Magnetic Resonance in MedicineHigh-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
- NeurIPS WorkshopHow to Guess a Gradient
- ICCV (T1)Learning to Transform for Generalizable Instance-wise Invariance
- Pattern Recognition Letters, 172:51-7Local Pseudo-Attributes for Long-Tailed Recognition
- IEEE Signal Processing Letters, 30:259-63Modeling Semantic Correlation and Hierarchy for Real-world Wildlife Recognition
- NeurIPS (T1)ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction
- Journal of Medical Imaging, 10(4)Serial Dependence in Perception across Naturalistic Generative Adversarial Network-generated Mammogram
Where alumni went59 listed
Apply to MichiganFall 2027
Michigan CSE Computer Science PhD
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Not yet confirmed for this intake.
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