技術討論
陳奕廷教授團隊研究成果分享
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★ Chi-Hsi Kung, Frangil Ramirez, Juhyung Ha, Yi-Ting Chen, David Crandall, Yi-Hsuan Tsai, “What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning,” IEEE International Conference on Computer Vision (ICCV), 2025. [Link] |
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★ An-Lun Liu, Yu-Wei Chao, Yi-Ting Chen, “Task-Oriented Human Grasp Synthesis via Context- and Task-Aware Diffusers,” IEEE International Conference on Computer Vision (ICCV), 2025. [Link] |
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★ Zihao Chen, Hsuan-Yu Wu, Chi-Hsi Kung, Yi-Ting Chen, Yan-Tsung Peng, “ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset,” IEEE International Conference on Intelligent Robots and Systems (IROS) 2025. [Link] |
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★ Yufei Wang , Ziyu Wang, Mino Nakura, Pratik Bhowal, Chia-Liang Kuo, Yi-Ting Chen, Zackory Erikson, David Held, “ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation,” Robotics: Science and Systems (RSS), 2025. [Link] |
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★ Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen, “Toward Real-World BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. [Link] |
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★ Pang-Yuan Pao, Shu-Wei Lu, Ze-Yan Lu, Yi-Ting Chen, “Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification,” IEEE Conference on Robotics and Automation (ICRA) 2025. [Link] |
劉育綸教授團隊研究成果分享
| ★ DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
Chun-Hung Wu, Shih-Hong Chen, Chih-Yao Hu, Hsin-Yu Wu, Kai-Hsin Chen, Yu-You Chen, Chih-Hai Su, Chih-Kuo Lee, and Yu-Lun Liu The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 2025
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| ★ FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
Chin-Yang Lin*, Chung-Ho Wu*, Chang-Han Yeh, Shih-Han Yen, Cheng Sun, and Yu-Lun Liu （NYCU and NVIDIA Research） The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 2025
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| ★SpectroMotion: Dynamic 3D Reconstruction of Specular Scenes
Cheng-De Fan, Chen-Wei Chang, Yi-Ruei Liu, Jie-Ying Lee, Jiun-Long Huang, Yu-Chee Tseng, and Yu-Lun Liu （NYCU and UIUC） The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 2025
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| ★ AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360° Unbounded Scene Inpainting Chung-Ho Wu*, Yang-Jung Chen*, Ying-Huan Chen, Jie-Ying Lee, Bo-Hsu Ke, Chun-Wei Tuan Mu, Yi-Chuan Huang, Chin-Yang Lin, Min-Hung Chen, Yen-Yu Lin, and Yu-Lun Liu （NYCU and NVIDIA Research）The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 2025   |
| ★ GCC: Generative Color Constancy via Diffusing a Color Checker Chen-Wei Chang, Chen-De Fan, Chia-Che Chang, Yi-Chen Lo, Yu-Chee Tseng, Jiun-Long Huang, and Yu-Lun Liu (NYCU and MediaTek Inc.)The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 2025  
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黃敬群教授團隊研究成果分享
| ★DynFaceRestore: Balancing Fidelity and Quality in Diffusion-Guided Blind Face Restoration with Dynamic Blur-Level Mapping and Guidance
Huu-Pu Do, Yu-Wei Chen, Yi-Cheng Liao, Chi-Wei Hsiao, Han-Yang Wang, Wei-Chen chiu, Ching-Chun Huang International Conference on Computer Vision (ICCV), Oct 2025
★ RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network Van-Tin Luu, Yon-Lin Cai, Vu-Hoang Tran, Wei-Chen Chiu, Yi-Ting Chen, Ching-Chun Huang The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), June 2025
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| ★ Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion Models
Hao Chien Hsueh, Wen Hsiao Peng, Ching Chun Huang International Conference on Learning Representations (ICLR), April 2025
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謝秉均教授團隊研究成果分享
| ★Action-Constrained Imitation Learning
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio, Wei Hung, Hung-Yen Wu, Shao-Hua Sun, Ping-Chun Hsieh International Conference on Machine Learning (ICML), July 2025
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| ★ Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs Wei Hung, Shao-Hua Sun, Ping-Chun Hsieh International Conference on Learning Representations (ICLR), April 2025    https://github.com/NYCU-RL-Bandits-Lab/ARAM |
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★ BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh International Conference on Learning Representations (ICLR), April 2025
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林彥宇教授團隊研究成果分享
| ★ Ranking-aware Adapter for Text-driven Image Ordering with CLIP Wei-Hsiang Yu, Yen-Yu Lin, Ming-Hsuan Yang, and Yi-Hsuan Tsai International Conference on Learning Representations (ICLR), April 2025  |
| ★ Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin, and Yen-Yu Lin International Conference on Learning Representations (ICLR), April 2025  |