Yun-Chun Chen

According to our database, Yun-Chun Chen authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Neural Progressive Meshes.

Yun-Chun Chen, Vladimir G. Kim, Noam Aigerman, Alec Jacobson

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

2022

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions.

Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Yang, Animesh Garg, Dieter Fox

CoRR, 2022

Breaking Bad: A Dataset for Geometric Fracture and Reassembly.

Silvia Sellán, Yun-Chun Chen, Ziyi Wu, Animesh Garg, Alec Jacobson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Grasp'D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands.

Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg

Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors.

Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-Segmentation.

Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Self-attentive 3D human pose and shape estimation from videos.

Yun-Chun Chen, Marco Piccirilli, Robinson Piramuthu, Ming-Hsuan Yang

Comput. Vis. Image Underst., 2021

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos.

Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond.

Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Yu-Chiang Frank Wang

CoRR, 2020

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search.

Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Learn in a Semi-supervised Fashion.

Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation.

Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang

CoRR, 2019

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification.

Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Saliency Aware: Weakly Supervised Object Localization.

Yun-Chun Chen, Winston H. Hsu

Proceedings of the IEEE International Conference on Acoustics, 2019

CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency.

Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Resolution-Invariant Deep Representations for Person Re-Identification.

Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Semantic Matching with Foreground Detection and Cycle-Consistency.

Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, Yen-Yu Lin

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Deep learning for malicious flow detection.

Yun-Chun Chen, Yu-Jhe Li, Aragorn Tseng, Tsungnan Lin

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017