Kun Yuan
57 papers · 2016–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 39% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Kun Yuan?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Nicolas Padoy, Nassir Navab, Vinkle Srivastav
13 papers
· 2024–2026
· MICCAI, CVPR, AAAI
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Do VLMs Perceive or Recall? Probing Visual Perception vs. Memory with Classic Visual Illusions
CVPR 2026
From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature
CVPR 2026
Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion
AAAI 2026
EndoVLA: Dual-Phase Vision-Language-Action for Precise Autonomous Tracking in Endoscopy
CoRL 2025
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments
CVPR 2025
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment
AAAI 2025
Multi-modal Representations for Fine-grained Multi-label Critical View of Safety Recognition
MICCAI 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 2025
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement
MICCAI 2025
SurgTPGS: Semantic 3D Surgical Scene Understanding with Text Promptable Gaussian Splatting
MICCAI 2025
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model
MICCAI 2024
HecVL: Hierarchical Video-Language Pretraining for Zero-shot Surgical Phase Recognition
MICCAI 2024
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation
NeurIPS 2024
6 papers whose co-authors appear nowhere else under this name
Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold
ICML 2025
HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference
ACL 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
JMLR 2025
Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration
JMLR 2025
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation
ECCV 2020
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification
IJCAI 2018