Lee, Chun-Yi

30 publications

NeurIPS 2025 Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking Chen-Hao Chao, Wei-Fang Sun, Hanwen Liang, Chun-Yi Lee, Rahul Krishnan

ICCV 2025 EAMamba: Efficient All-Around Vision State Space Model for Image Restoration Yu-Cheng Lin, Yu-Syuan Xu, Hao-Wei Chen, Hsien-Kai Kuo, Chun-Yi Lee

NeurIPS 2025 EDELINE: Enhancing Memory in Diffusion-Based World Models via Linear-Time Sequence Modeling Jia-Hua Lee, Bor-Jiun Lin, Wei-Fang Sun, Chun-Yi Lee

ICCV 2025 FROSS: Faster-than-Real-Time Online 3D Semantic Scene Graph Generation from RGB-D Images Hao-Yu Hou, Chun-Yi Lee, Motoharu Sonogashira, Yasutomo Kawanishi

ICML 2025 Retraining-Free Merging of Sparse MoE via Hierarchical Clustering I-Chun Chen, Hsu-Shen Liu, Wei-Fang Sun, Chen-Hao Chao, Yen-Chang Hsu, Chun-Yi Lee

CVPR 2024 Boosting Flow-Based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao, Yi-Chen Lo, Chia-Che Chang, Hao-Wei Chen, Roy Tseng, Chien Feng, Chun-Yi Lee

CVPR 2024 Confronting Ambiguity in 6d Object Pose Estimation via Score-Based Diffusion on SE(3) Tsu-Ching Hsiao, Hao-Wei Chen, Hsuan-Kung Yang, Chun-Yi Lee

ICML 2024 Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun, Chien Feng, Cho-Jui Hsieh, Chun-Yi Lee

ICML 2024 HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network Bor-Jiun Lin, Chun-Yi Lee

NeurIPS 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

WACV 2024 Progressive Hypothesis Transformer for 3D Human Mesh Recovery Huang-Ru Liao, Jen-Chun Lin, Chun-Yi Lee

ECCV 2024 Reprojection Errors as Prompts for Efficient Scene Coordinate Regression Ting-Ru Liu, Hsuan-Kung Yang, Jou-Min Liu, Chun-Wei Huang, Tsung-Chih Chiang, Quan Kong, Norimasa Kobori, Chun-Yi Lee

JMLR 2023 A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee

CVPR 2023 Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution Hao-Wei Chen, Yu-Syuan Xu, Min-Fong Hong, Yi-Min Tsai, Hsien-Kai Kuo, Chun-Yi Lee

ACML 2023 Learning to Terminate in Object Navigation Yuhang Song, Anh Nguyen, Chun-Yi Lee

CVPR 2023 Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution Jie-En Yao, Li-Yuan Tsao, Yi-Chen Lo, Roy Tseng, Chia-Che Chang, Chun-Yi Lee

ICML 2023 On Investigating the Conservative Property of Score-Based Generative Models Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee

WACV 2023 Pixel-Wise Prediction Based Visual Odometry via Uncertainty Estimation Hao-Wei Chen, Ting-Hsuan Liao, Hsuan-Kung Yang, Chun-Yi Lee

NeurIPS 2023 Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu, Zsolt Kira, Chun-Yi Lee

ICLR 2022 Denoising Likelihood Score Matching for Conditional Score-Based Data Generation Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Yi-Chen Lo, Chia-Che Chang, Yu-Lun Liu, Yu-Lin Chang, Chia-Ping Chen, Chun-Yi Lee

ECCV 2022 S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee

CVPRW 2022 S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee

ICML 2021 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Wei-Fang Sun, Cheng-Kuang Lee, Chun-Yi Lee

CVPRW 2021 Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain Adaption Chen-Hao Chao, Bo-Wun Cheng, Chun-Yi Lee

CVPRW 2020 Dynamic Attention-Based Visual Odometry Xin-Yu Kuo, Chien Liu, Kai-Chen Lin, Chun-Yi Lee

IJCAI 2020 Flow-Based Intrinsic Curiosity Module Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee

CoRL 2019 Adversarial Active Exploration for Inverse Dynamics Model Learning Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Chun-Yi Lee

NeurIPS 2018 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su, Yi-Hsiang Chang, Tsu-Jui Fu, Chun-Yi Lee

IJCAI 2018 Virtual-to-Real: Learning to Control in Visual Semantic Segmentation Zhang-Wei Hong, Yu-Ming Chen, Hsuan-Kung Yang, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Yueh-Chuan Chang, Chun-Yi Lee

ECCVW 2018 Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information Hsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee