Hengyu Liu
13 papers · 2024–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7)
🐝
Cross-Pollinator
(10)
🤝
Dynamic Duo
(10)
🏆
Grand Slam
💎
Century Club
(13)
🚀
Conference Pioneer
⚡
Prolific Year
(9)
Conferences
MICCAI (4)
CVPR (3)
ICCV (2)
AAAI (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
semantic segmentation
(2)
image restoration
(1)
uncertainty quantification
(1)
image generation
(1)
medical image segmentation
(1)
feature extraction
(1)
image segmentation
(1)
test-time adaptation
(1)
object tracking
(1)
video anomaly detection
(1)
model compression
(1)
neural rendering
(1)
scene representation
(1)
information maximization
(1)
conditional mutual information
(1)
k-nearest neighbor
(1)
diffusion model
(1)
variational autoencoder
(1)
cross-modal alignment
(1)
dictionary learning
(1)
Papers
EndoGen: Conditional Autoregressive Endoscopic Video Generation
MICCAI 2025
U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
AAAI 2025
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
CVPR 2025
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary
CVPR 2025
Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline
CVPR 2025
MetaScope: Optics-Driven Neural Network for Ultra-Micro Metalens Endoscopy
ICCV 2025
InfoBridge: Balanced Multimodal Integration through Conditional Dependency Modeling
ICCV 2025
InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting
ICLR 2025
RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations
ICML 2025
Endora: Video Generation Models as Endoscopy Simulators
MICCAI 2024
EndoSparse: Real-Time Sparse View Synthesis of Endoscopic Scenes using Gaussian Splatting
MICCAI 2024
LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction
MICCAI 2024
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM
NIPS 2024