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Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval

Aug 11, 2020
Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song

* Accepted for ORAL presentation in BMVC 2020 

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BĂ©zierSketch: A generative model for scalable vector sketches

Jul 14, 2020
Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song

* Accepted as poster at ECCV 2020 

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Learning to Generate Novel Domains for Domain Generalization

Jul 07, 2020
Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang

* To appear in ECCV'20 

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Augmented Sliced Wasserstein Distances

Jun 17, 2020
Xiongjie Chen, Yongxin Yang, Yunpeng Li

* 16 pages, 5 figures 

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Flexible Dataset Distillation: Learn Labels Instead of Images

Jun 15, 2020
Ondrej Bohdal, Yongxin Yang, Timothy Hospedales


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Sequential Learning for Domain Generalization

Apr 03, 2020
Da Li, Yongxin Yang, Yi-Zhe Song, Timothy Hospedales

* tech report 

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DADA: Differentiable Automatic Data Augmentation

Mar 28, 2020
Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang


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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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Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

Mar 11, 2020
Wei Zhou, Yiying Li, Yongxin Yang, Huaimin Wang, Timothy M. Hospedales


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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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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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Deep clustering with concrete k-means

Oct 17, 2019
Boyan Gao, Yongxin Yang, Henry Gouk, Timothy M. Hospedales


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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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Gated deep neural networks for implied volatility surfaces

May 26, 2019
Yu Zheng, Yongxin Yang, Bowei Chen

* 11 pages, working paper 

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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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Episodic Training for Domain Generalization

Jan 31, 2019
Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales

* technical report 

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Feature-Critic Networks for Heterogeneous Domain Generalization

Jan 31, 2019
Yiying Li, Yongxin Yang, Wei Zhou, Timothy M. Hospedales


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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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Deep Comparison: Relation Columns for Few-Shot Learning

Nov 20, 2018
Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales

* 10 pages, 5 figures 

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Deep Neural Decision Trees

Jun 19, 2018
Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales

* presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden 

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Learning Deep Sketch Abstraction

Apr 13, 2018
Umar Riaz Muhammad, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales

* This paper is accepted at CVPR 2018 as poster 

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Learning to Compare: Relation Network for Few-Shot Learning

Mar 27, 2018
Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales

* To appear in CVPR2018 

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Actor-Critic Sequence Training for Image Captioning

Nov 28, 2017
Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales


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