Taihong Xiao

University of California, Merced — United States

Computer Science · Physical Sciences

10h-index623citations25works0.02yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(9), Face recognition and analysis(7), Generative Adversarial Networks and Image Synthesis(6), Multimodal Machine Learning Applications(6), Advanced Image Processing Techniques(5)

Publications25 total

FlowNAS: Neural Architecture Search for Optical Flow Estimation
International Journal of Computer Vision·2023· 4 cited
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
arXiv (Cornell University)·2022· 1 citedOpen Access
FlowNAS: Neural Architecture Search for Optical Flow Estimation
arXiv (Cornell University)·2022· 1 citedOpen Access
Correction to: Learning Contrastive Representation for Semantic Correspondence
International Journal of Computer Vision·2022· 1 citedOpen Access
Learning Contrastive Representation for Semantic Correspondence
International Journal of Computer Vision·2022· 15 cited
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
arXiv (Cornell University)·2022· 3 citedOpen Access
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
Lecture notes in computer science·2022· 80 cited
Learning Contrastive Representation for Semantic Correspondence
arXiv (Cornell University)·2021Open Access
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle
Uncertainty in Artificial Intelligence·2021
Semi-Supervised Learning with Meta-Gradient
International Conference on Artificial Intelligence and Statistics·2021
Learnable Cost Volume Using the Cayley Representation
arXiv (Cornell University)·2020· 1 citedOpen Access
Semi-Supervised Learning with Meta-Gradient
arXiv (Cornell University)·2020Open Access
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 62 citedOpen Access
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle.
arXiv (Cornell University)·2020Open Access
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle
arXiv (Cornell University)·2020· 1 citedOpen Access
Learnable Cost Volume Using the Cayley Representation
Lecture notes in computer science·2020· 11 cited
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
arXiv (Cornell University)·2019· 7 citedOpen Access
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
arXiv (Cornell University)·2018· 27 citedOpen Access
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Lecture notes in computer science·2018· 210 cited
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
arXiv (Cornell University)·2017· 34 citedOpen Access
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Frequent Co-authors

Ming–Hsuan Yang(17), Jinwen Ma(5), Ming‐Ming Cheng(5), Jiapeng Hong(4), Deqing Sun(3), Shuchang Zhou(3), Sifei Liu(3), Shalini De Mello(3), Zhiding Yu(3), Hsin–Ping Huang(2), Yaojie Liu(2), Jinwei Yuan(2), Hartwig Adam(2), Yi‐Hsuan Tsai(2), Kihyuk Sohn(2), Manmohan Chandraker(2), Yi Yang(2), Dieqiao Feng(2), Qinyao He(2), Weiran He(2)