Posts by Collection

An Integrated Learning Framework for Pedestrian Tracking

Taihong Xiao, Jinwen Ma
International Conference on Intelligent Computing (ICIC), Oral, 2017

[Paper] [Slide] [Video] [GitHub]

IQNN: Training Quantized Neural Networks with Iterative Optimizations

Shuchang Zhou, He Wen, Taihong Xiao, Xinyu Zhou
International Conference on Artificial Neural Networks (ICANN), 2017

[Paper]

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Shuchang Zhou, Taihong Xiao, Yi Yang, Dieqiao Feng, Qinyao He, Weiran He
British Machine Vision Conference (BMVC), Oral, 2017

[Paper] [ArXiv] [Slide] [GitHub]

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

Taihong Xiao, Jiapeng Hong, Jinwen Ma
International Conference on Learning Representations (ICLR), Workshop Track, 2018

[Paper] [ArXiv] [Poster] [GitHub]

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

Taihong Xiao, Jiapeng Hong, Jinwen Ma
European Conference on Computer Vision (ECCV), 2018

[Paper] [ArXiv] [Poster] [GitHub]

Adversarial Learning of Privacy-Preserving and Task-Oriented Representations

Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), Spotlight, 2020

[ArXiv] [Poster] [Slides]

Learnable Cost Volume Using the Cayley Representation

Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang
European Conference on Computer Vision (ECCV), 2020

[Paper] [ArXiv] [GitHub]

Semi-Supervised Learning with Meta-Gradient

Taihong Xiao, Xin-Yu Zhang, Haolin Jia, Ming-Ming Cheng, Ming-Hsuan Yang
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021

[Paper] [Supplementary] [ArXiv] [Video] [GitHub]

Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle

Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang
Conference on Uncertainty in Artificial Intelligence (UAI), 2021

[Paper] [Supplementary] [ArXiv] [Poster] [Slides] [Video] [GitHub]

Learning Contrastive Representation for Semantic Correspondence

Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang
International Journal of Computer Vision (IJCV), 2022

[Paper] [ArXiv] [GitHub]

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
European Conference on Computer Vision (ECCV), 2022

[ArXiv] [GitHub]

Exploiting Category Names for Few-Shot Classification with Vision-Language Models

Taihong Xiao, Zirui Wang, Liangliang Cao, Jiahui Yu, Shengyang Dai, Ming-Hsuan Yang
International Conference on Learning Representations, Multimodal Representation Learning Workshop, 2023

[ArXiv]

FlowNAS: Neural Architecture Search for Optical Flow Estimation

Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang
International Journal of Computer Vision (IJCV), 2023

[Paper] [ArXiv] [GitHub]

An Integrated Learning Framework for Pedestrian Tracking

Published: August 08, 2017

[Slide]

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

Published: November 01, 2017

[Slide]

Mathematical Analysis I

Undergraduate course, Taishan College, Shandong University, 2014

Advanced Math B

Undergraduate course, Peking University, 2016

CSE 140: Computer Architecture

Undergraduate course, UC Merced, 2018

CSE 015: Discrete Math

Undergraduate course, UC Merced, 2019