Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention

Apr 02, 2020
Juan-Manuel Perez-Rua, Brais Martinez, Xiatian Zhu, Antoine Toisoul, Victor Escorcia, Tao Xiang


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Domain-Adaptive Few-Shot Learning

Mar 19, 2020
An Zhao, Mingyu Ding, Zhiwu Lu, Tao Xiang, Yulei Niu, Jiechao Guan, Ji-Rong Wen, Ping Luo


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Domain Adaptive Ensemble Learning

Mar 16, 2020
Kaiyang Zhou, Yongxin Yang, Yu Qiao, Tao Xiang

* Tech report 

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Deep Domain-Adversarial Image Generation for Domain Generalisation

Mar 12, 2020
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang

* 8 pages 

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Incremental Few-Shot Object Detection

Mar 12, 2020
Juan-Manuel Perez-Rua, Xiatian Zhu, Timothy Hospedales, Tao Xiang

* CVPR 2020 

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Meta-Learning across Meta-Tasks for Few-Shot Learning

Mar 09, 2020
Nanyi Fei, Zhiwu Lu, Yizhao Gao, Jia Tian, Tao Xiang, Ji-Rong Wen

* Our code is at https://github.com/neilfei/MLMT-FSL 

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AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning

Mar 09, 2020
Jianhong Zhang, Manli Zhang, Zhiwu Lu, Tao Xiang, Jirong Wen

* The code is at github - https://github.com/RiceZJH/AdarGCN 

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Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval

Mar 05, 2020
Ayan Kumar Bhunia, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

* IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020 

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Fine-Grained Instance-Level Sketch-Based Video Retrieval

Feb 21, 2020
Peng Xu, Kun Liu, Tao Xiang, Timothy M. Hospedales, Zhanyu Ma, Jun Guo, Yi-Zhe Song


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Towards Byzantine-resilient Learning in Decentralized Systems

Feb 20, 2020
Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Lei Ma, Tao Xiang, Yang Liu


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Few-Shot Learning as Domain Adaptation: Algorithm and Analysis

Feb 12, 2020
Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen

* Github URL https://github.com/JiechaoGuan/FSL-DAPNA 

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Deep Learning for Person Re-identification: A Survey and Outlook

Jan 13, 2020
Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi

* 20 pages, 8 figures 

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Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

Oct 22, 2019
Kaiyang Zhou, Tao Xiang

* Tech report 

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Learning Generalisable Omni-Scale Representations for Person Re-Identification

Oct 22, 2019
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang

* Extension of conference version: arXiv:1905.00953. Source code: https://github.com/KaiyangZhou/deep-person-reid 

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Few-Shot Learning with Global Class Representations

Aug 14, 2019
Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang

* Accepted by ICCV2019 

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Goal-Driven Sequential Data Abstraction

Aug 08, 2019
Umar Riaz Muhammad, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song

* Accepted at ICCV 2019 

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Omni-Scale Feature Learning for Person Re-Identification

May 02, 2019
Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang

* Tech report 

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Compressing deep neural networks by matrix product operators

Apr 11, 2019
Ze-Feng Gao, Song Cheng, Rong-Qiang He, Z. Y. Xie, Hui-Hai Zhao, Zhong-Yi Lu, Tao Xiang

* 7+5 pages, 3 figures, 2+7 tables 

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Tree Tensor Networks for Generative Modeling

Jan 08, 2019
Song Cheng, Lei Wang, Tao Xiang, Pan Zhang


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Face-Focused Cross-Stream Network for Deception Detection in Videos

Dec 11, 2018
Mingyu Ding, An Zhao, Zhiwu Lu, Tao Xiang, Ji-Rong Wen


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Zero-Shot Learning with Sparse Attribute Propagation

Dec 11, 2018
Nanyi Fei, Jiajun Liu, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen


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Disjoint Label Space Transfer Learning with Common Factorised Space

Dec 06, 2018
Xiaobin Chang, Yongxin Yang, Tao Xiang, Timothy M. Hospedales

* AAAI-19 

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Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning

Oct 19, 2018
Zhiwu Lu, Jiechao Guan, Aoxue Li, Tao Xiang, An Zhao, Ji-Rong Wen

* Submitted to IEEE TPAMI 

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