Prati
Taihong Xiao
Taihong Xiao
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Naslov
Citirano
Citirano
Godina
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
T Xiao, J Hong, J Ma
Proceedings of the European Conference on Computer Vision (ECCV), 172--187, 2018
2102018
Genegan: Learning object transfiguration and attribute subspace from unpaired data
S Zhou, T Xiao, Y Yang, D Feng, Q He, W He
Proceedings of the British Machine Vision Conference (BMVC), 2017
1112017
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
T Xiao, J Hong, J Ma
International Conference on Learning Representations Workshop (ICLR), 2018
832018
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
T Xiao, YH Tsai, K Sohn, M Chandraker, MH Yang
AAAI Conference on Artificial Intelligence (AAAI), 2020
682020
Adaptive transformers for robust few-shot cross-domain face anti-spoofing
HP Huang, D Sun, Y Liu, WS Chu, T Xiao, J Yuan, H Adam, MH Yang
European Conference on Computer Vision, 37-54, 2022
312022
Learning Contrastive Representation for Semantic Correspondence
T Xiao, S Liu, S De Mello, Z Yu, J Kautz, MH Yang
International Journal of Computer Vision, 1-17, 2022
132022
Learnable Cost Volume Using the Cayley Representation
T Xiao, J Yuan, D Sun, Q Wang, XY Zhang, K Xu, MH Yang
Proceedings of the European Conference on Computer Vision (ECCV), 2020
122020
Semi-Supervised Learning with Meta-Gradient
XY Zhang, T Xiao, H Jia, MM Cheng, MH Yang
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2021
9*2021
Exploiting Category Names for Few-Shot Classification with Vision-Language Models
T Xiao, Z Wang, L Cao, J Yu, S Dai, MH Yang
International Conference on Learning Representations Workshop (ICLR), 2023
32023
Iqnn: Training quantized neural networks with iterative optimizations
S Zhou, H Wen, T Xiao, X Zhou
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
22017
Learning contrastive representation for semantic correspondence
T Xiao, S Liu, S De Mello, Z Yu, J Kautz
US Patent 2023/0074706 A1, 2023
12023
Correction to: Learning Contrastive Representation for Semantic Correspondence
T Xiao, S Liu, S De Mello, Z Yu, J Kautz, MH Yang
International Journal of Computer Vision 130 (6), 1607-1607, 2022
12022
Structured Sparsification with Joint Optimization of Group Convolution and Channel Shuffle
XY Zhang, K Zhao, T Xiao, MM Cheng, MH Yang
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
12021
FlowNAS: Neural Architecture Search for Optical Flow Estimation
Z Lin, T Liang, T Xiao, Y Wang, Z Tang, MH Yang
International Journal of Computer Vision, 2023
2023
Learnable cost volume for determining pixel correspondence
T Xiao, D Sun, MH Yang, Q Wang, J Yuan
US Patent 2022/0189051 A1, 2022
2022
Learning Contrastive Representation for Semantic Correspondence (Apr, 10.1007/s11263-022-01602-y, 2022)
T Xiao, S Liu, S De Mello, Z Yu, J Kautz, MH Yang
INTERNATIONAL JOURNAL OF COMPUTER VISION 130 (6), 1607-1607, 2022
2022
An Integrated Learning Framework for Pedestrian Tracking
T Xiao, J Ma
Intelligent Computing Methodologies: 13th International Conference, ICIC …, 2017
2017
Introduction to Hypergeometric Transformations
T Xiao
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