Chun-Yi Lee
26 papers · 2018–2026 · 11 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(131)
π
Trend Setter
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Keywords
deep reinforcement learning
(6)
diffusion model
(4)
normalizing flow
(3)
multi-agent reinforcement learning
(3)
image restoration
(3)
image generation
(2)
semantic segmentation
(2)
optical flow
(2)
score-based generative model
(2)
energy-based model
(2)
value function factorization
(2)
convolutional neural network
(2)
distributional reinforcement learning
(2)
pose estimation
(2)
partial observability
(2)
arbitrary-scale super-resolution
(2)
domain adaptation
(1)
maximum entropy
(1)
local attention
(1)
robotic manipulation
(1)
Papers
Landscape-Awareness for Geometric View Diffusion Model
CVPR 2026
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
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
CVPR 2024
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)
CVPR 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
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
NeurIPS 2024
Progressive Hypothesis Transformer for 3D Human Mesh Recovery
WACV 2024
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression
ECCV 2024
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
Learning to Terminate in Object Navigation
ACML 2023
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
CVPR 2023
On Investigating the Conservative Property of Score-Based Generative Models
ICML 2023
Pixel-Wise Prediction Based Visual Odometry via Uncertainty Estimation
WACV 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives
NeurIPS 2023
Denoising Likelihood Score Matching for Conditional Score-based Data Generation
ICLR 2022
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction
ECCV 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
NeurIPS 2018
Dynamic Video Segmentation Network
CVPR 2018
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation
IJCAI 2018