Taihong Xiao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Manifold Regularization

Optical Flow Estimation

Multiple Attributes

Top Venues

Int. J. Comput. Vis.

Publications

Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Ming-Hsuan Yang
FlowNAS: Neural Architecture Search for Optical Flow Estimation. Int. J. Comput. Vis. 132 (4) (2024)
Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. CoRR (2022)
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
Correction to: Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130 (6) (2022)
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130 (5) (2022)
Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. ECCV (13) (2022)
Taihong Xiao, Zirui Wang, Liangliang Cao, Jiahui Yu, Shengyang Dai, Ming-Hsuan Yang
Exploiting Category Names for Few-Shot Classification with Vision-Language Models. CoRR (2022)
Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang
FlowNAS: Neural Architecture Search for Optical Flow Estimation. CoRR (2022)
Taihong Xiao, Xin-Yu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang
Semi-Supervised Learning with Meta-Gradient. AISTATS (2021)
Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
Structured sparsification with joint optimization of group convolution and channel shuffle. UAI (2021)
Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
Learning Contrastive Representation for Semantic Correspondence. CoRR (2021)
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI (2020)
Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang
Learnable Cost Volume Using the Cayley Representation. ECCV (9) (2020)
Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang
Learnable Cost Volume Using the Cayley Representation. CoRR (2020)
Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. CoRR (2020)
Xin-Yu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
Semi-Supervised Learning with Meta-Gradient. CoRR (2020)
Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR (2019)
Taihong Xiao, Jiapeng Hong, Jinwen Ma
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes. ECCV (10) (2018)
Taihong Xiao, Jiapeng Hong, Jinwen Ma
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes. CoRR (2018)
Taihong Xiao, Jiapeng Hong, Jinwen Ma
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images. ICLR (Workshop) (2018)
Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou
IQNN: Training Quantized Neural Networks with Iterative Optimizations. ICANN (2) (2017)
Taihong Xiao, Jiapeng Hong, Jinwen Ma
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images. CoRR (2017)
Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He
GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data. BMVC (2017)
Taihong Xiao, Jinwen Ma
An Integrated Learning Framework for Pedestrian Tracking. ICIC (3) (2017)
Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data. CoRR (2017)