Deep learning for malicious flow detection. - Yun-Chun Chen; Yu-Jhe Li; Aragorn Tseng; Tsungnan Lin (PIMRC, 2017)

Deep Semantic Matching with Foreground Detection and Cycle-Consistency. - Yun-Chun Chen; Po-Hsiang Huang; Li-Yu Yu; Jia-Bin Huang 001; Ming-Hsuan Yang 001; Yen-Yu Lin (ACCV (3), 2018)

Learning Resolution-Invariant Deep Representations for Person Re-Identification. - Yun-Chun Chen; Yu-Jhe Li; Xiaofei Du 001; Yu-Chiang Frank Wang (AAAI, 2019)

CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency. - Yun-Chun Chen; Yen-Yu Lin; Ming-Hsuan Yang 001; Jia-Bin Huang 001 (CVPR, 2019)

Saliency Aware: Weakly Supervised Object Localization. - Yun-Chun Chen; Winston H. Hsu (ICASSP, 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 001; Yu-Chiang Frank Wang (ICCV, 2019)

Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation. - Yun-Chun Chen; Yen-Yu Lin; Ming-Hsuan Yang 001; Jia-Bin Huang 001 (CoRR, 2019)

Learning to Learn in a Semi-supervised Fashion. - Yun-Chun Chen; Chao-Te Chou; Yu-Chiang Frank Wang (ECCV (18), 2020)

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search. - Yun-Chun Chen; Chen Gao 003; Esther Robb; Jia-Bin Huang 001 (ECCV (18), 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)

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. - Haoyu Xiong; Quanzhou Li; Yun-Chun Chen; Homanga Bharadhwaj; Samarth Sinha; Animesh Garg (IROS, 2021)

Self-attentive 3D human pose and shape estimation from videos. - Yun-Chun Chen; Marco Piccirilli; Robinson Piramuthu; Ming-Hsuan Yang 001 (Comput. Vis. Image Underst., 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 001; Jia-Bin Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors. - Yun-Chun Chen; Haoda Li; Dylan Turpin; Alec Jacobson; Animesh Garg (CVPR, 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 (ECCV (6), 2022)

Breaking Bad: A Dataset for Geometric Fracture and Reassembly. - Silvia Sellán; Yun-Chun Chen; Ziyi Wu; Animesh Garg; Alec Jacobson (NeurIPS, 2022)

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions. - Yun-Chun Chen; Adithyavairavan Murali; Balakumar Sundaralingam; Wei Yang 019; Animesh Garg; Dieter Fox (CoRR, 2022)

Neural Progressive Meshes. - Yun-Chun Chen; Vladimir G. Kim; Noam Aigerman; Alec Jacobson (SIGGRAPH (Conference Paper Track), 2023)

Text-guided Controllable Mesh Refinement for Interactive 3D Modeling. - Yun-Chun Chen; Selena Ling; Zhiqin Chen; Vladimir G. Kim; Matheus Gadelha; Alec Jacobson (SIGGRAPH Asia, 2024)