Taihong Xiao

According to our database, Taihong Xiao authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

FlowNAS: Neural Architecture Search for Optical Flow Estimation.

Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Ming-Hsuan Yang

Int. J. Comput. Vis., April, 2024

2023

Learning Correspondence from Images, Videos and Texts

Taihong Xiao

PhD thesis, 2023

2022

Correction to: Learning Contrastive Representation for Semantic Correspondence.

Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang

Int. J. Comput. Vis., 2022

Learning Contrastive Representation for Semantic Correspondence.

Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang

Int. J. Comput. Vis., 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

CoRR, 2022

FlowNAS: Neural Architecture Search for Optical Flow Estimation.

Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang

CoRR, 2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Structured sparsification with joint optimization of group convolution and channel shuffle.

Xinyu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Semi-Supervised Learning with Meta-Gradient.

Taihong Xiao, Xinyu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Model-Agnostic Structured Sparsification with Learnable Channel Shuffle.

Xinyu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang

CoRR, 2020

Learnable Cost Volume Using the Cayley Representation.

Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xinyu Zhang, Kehan Xu, Ming-Hsuan Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations.

Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images.

Taihong Xiao, Jiapeng Hong, Jinwen Ma

Proceedings of the 6th International Conference on Learning Representations, 2018

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes.

Taihong Xiao, Jiapeng Hong, Jinwen Ma

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data.

Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He

CoRR, 2017

An Integrated Learning Framework for Pedestrian Tracking.

Taihong Xiao, Jinwen Ma

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

IQNN: Training Quantized Neural Networks with Iterative Optimizations.

Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

GeneGAN: Learning Object Transfiguration and Object Subspace from Unpaired Data.

Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He

Proceedings of the British Machine Vision Conference 2017, 2017