GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data. - Shuchang Zhou 001; Taihong Xiao; Yi Yang 033; Dieqiao Feng; Qinyao He; Weiran He (BMVC, 2017)

IQNN: Training Quantized Neural Networks with Iterative Optimizations. - Shuchang Zhou 001; He Wen; Taihong Xiao; Xinyu Zhou 004 (ICANN (2), 2017)

An Integrated Learning Framework for Pedestrian Tracking. - Taihong Xiao; Jinwen Ma (ICIC (3), 2017)

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. - Shuchang Zhou 001; Taihong Xiao; Yi Yang 033; Dieqiao Feng; Qinyao He; Weiran He (CoRR, 2017)

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes. - Taihong Xiao; Jiapeng Hong; Jinwen Ma (ECCV (10), 2018)

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images. - Taihong Xiao; Jiapeng Hong; Jinwen Ma (ICLR (Workshop), 2018)

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. - Taihong Xiao; Yi-Hsuan Tsai; Kihyuk Sohn; Manmohan Chandraker; Ming-Hsuan Yang 001 (AAAI, 2020)

Learnable Cost Volume Using the Cayley Representation. - Taihong Xiao; Jinwei Yuan; Deqing Sun; Qifei Wang; Xin-Yu Zhang 023; Kehan Xu; Ming-Hsuan Yang 001 (ECCV (9), 2020)

Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. - Xin-Yu Zhang 023; Kai Zhao; Taihong Xiao; Ming-Ming Cheng; Ming-Hsuan Yang 001 (CoRR, 2020)

Semi-Supervised Learning with Meta-Gradient. - Taihong Xiao; Xin-Yu Zhang 023; Hao-Lin Jia 001; Ming-Ming Cheng; Ming-Hsuan Yang 001 (AISTATS, 2021)

Structured sparsification with joint optimization of group convolution and channel shuffle. - Xin-Yu Zhang 023; Kai Zhao; Taihong Xiao; Ming-Ming Cheng; Ming-Hsuan Yang 001 (UAI, 2021)

Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. - Hsin-Ping Huang; Deqing Sun; Yaojie Liu; Wen-Sheng Chu; Taihong Xiao; Jinwei Yuan; Hartwig Adam; Ming-Hsuan Yang 001 (ECCV (13), 2022)

FlowNAS: Neural Architecture Search for Optical Flow Estimation. - Zhiwei Lin; Tingting Liang; Taihong Xiao; Yongtao Wang; Zhi Tang 001; Ming-Hsuan Yang 001 (CoRR, 2022)

Exploiting Category Names for Few-Shot Classification with Vision-Language Models. - Taihong Xiao; Zirui Wang; Liangliang Cao; Jiahui Yu; Shengyang Dai; Ming-Hsuan Yang 001 (CoRR, 2022)

Learning Contrastive Representation for Semantic Correspondence. - Taihong Xiao; Sifei Liu; Shalini De Mello; Zhiding Yu; Jan Kautz; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2022)

Correction to: Learning Contrastive Representation for Semantic Correspondence. - Taihong Xiao; Sifei Liu; Shalini De Mello; Zhiding Yu; Jan Kautz; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2022)

Learning Correspondence from Images, Videos and Texts - Taihong Xiao (2023)

FlowNAS: Neural Architecture Search for Optical Flow Estimation. - Zhiwei Lin; Tingting Liang; Taihong Xiao; Yongtao Wang; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2024)