Chun-Yi Lee
25 papers · 2018–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🧬
Topic Evolution
🗃️
Keyword Collector
(107)
💎
Century Club
(25)
🔥
Unstoppable
(8)
⚡
Prolific Year
(7)
Conferences
CVPR (5)
ICML (5)
NIPS (3)
ECCV (2)
ICCV (2)
IJCAI (2)
WACV (2)
ACML (1)
CORL (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
deep reinforcement learning
(6)
image restoration
(3)
normalizing flow
(3)
diffusion model
(2)
multi-agent reinforcement learning
(2)
pose estimation
(2)
arbitrary-scale super-resolution
(2)
convolutional neural network
(2)
energy-based model
(2)
value function factorization
(2)
distributional reinforcement learning
(2)
partial observability
(2)
semantic segmentation
(2)
optical flow
(2)
computer vision
(1)
local attention
(1)
domain adaptation
(1)
image generation
(1)
maximum entropy
(1)
3d vision
(1)
Papers
EAMamba: Efficient All-Around Vision State Space Model for Image Restoration
ICCV 2025
FROSS: Faster-Than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images
ICCV 2025
Retraining-free Merging of Sparse MoE via Hierarchical Clustering
ICML 2025
Progressive Hypothesis Transformer for 3D Human Mesh Recovery
WACV 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
NIPS 2024
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
CVPR 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
CVPR 2024
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression
ECCV 2024
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
ICML 2024
HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network
ICML 2024
Pixel-Wise Prediction Based Visual Odometry via Uncertainty Estimation
WACV 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives
NIPS 2023
Learning to Terminate in Object Navigation
ACML 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
CVPR 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
JMLR 2023
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
CVPR 2023
On Investigating the Conservative Property of Score-Based Generative Models
ICML 2023
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction
ECCV 2022
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
ICLR 2022
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
ICML 2021
Flow-based Intrinsic Curiosity Module
IJCAI 2020
Adversarial Active Exploration for Inverse Dynamics Model Learning
CORL 2019
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
NIPS 2018
Dynamic Video Segmentation Network
CVPR 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
IJCAI 2018