Welcome to my homepage

Professor of Computer Vision and Multimedia
Vision Group
School of Electronic Engineering and Computer Science
Queen Mary, University of London
Mile End Road, London E1 4NS
Tel: (+44)-(0)20-7882-8020
Fax: (+44)-(0)20-8980-7064
Email: t.xiang at qmul dot ac dot uk

If you are interested in pursuing a PhD degree in computer vision, please feel free to contact me. CSC scholarship applicants are welcome.

Recent Publications ( full list , Google Scholar )

K. Pang, D. Li, J. Song, Y. Song, T. Xiang and T. Hospedales, "Deep Factorised Inverse-Sketching", in Proc. European Conference on Computer Vision (ECCV), Munich, Germany, September 2018.

C. Zou, Q. Yu, R. Du, H. Mo, Y. Song, T. Xiang, C. Gao, B. Chen, and H. Zhang, "SketchyScene: Richly-Annotated Scene Sketches", in Proc. European Conference on Computer Vision (ECCV), Munich, Germany, September 2018.

K. Li, K. Pang, J. Song, Y. Song, T. Xiang and T. Hospedales, "Universal Sketch Perceptual Grouping", in Proc. European Conference on Computer Vision (ECCV), Munich, Germany, September 2018.

X. Qian, Y. Fu, T. Xiang, W. Wang, J. Qiu, Y. Wu, Y. Jiang and X. Xue "Pose-Normalized Image Generation for Person Re-identification", in Proc. European Conference on Computer Vision (ECCV), Munich, Germany, September 2018.

H. Wang, X. Zhu, S. Gong and T. Xiang, "Person Re-Identification in Identity Regression Space", International Journal of Computer Vision (IJCV), to appear.

Z. Fu, T. Xiang, E. Kodirov and S. Gong, "Zero-Shot Learning on Semantic Class Prototype Graph", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear.

P. Peng, Y. Tian, T. Xiang, Y. Wang, M. Pontil and T. Huang, "Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear.

Z. Shi, Y. Yang, T. Hospedales and T. Xiang, "Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear.

Y. Zhang, T. Xiang, T. Hospedales and H. Lu, "Deep Mutual Learning", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

F. Sung, Y. Yang, L. Zhang, T. Xiang, P. Torr and T. Hospedales, "Learning to Compare: Relation Network for Few-Shot Learning", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

X. Chang, T. Xiang and T. Hospedales, "Multi-Level Factorisation Net for Person Re-Identification", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

X. Chang, T. Xiang and T. Hospedales, "Scalable and Effective Deep CCA via Soft Decorrelation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

J. Song, K. Pang, Y. Song, T. Xiang and T. Hospedales, "Learning to Sketch with Shortcut Cycle Consistency", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

U. Muhammad, Y. Yang, Y. Song, T. Xiang, T. Hospedales, "Learning Deep Sketch Abstraction", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

F. Liu, T. Xiang, T. Hospedales, W. Yang and C. Sun, "iVQA: Inverse Visual Question Answering", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

C. Hu, D. Li, Y. Song, T. Xiang and T. Hospedales, "Sketch-a-Classifier: Sketch-based Photo Classifier Generation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

P. Xu, Y. Huang, T. Yuan, K. Pang, Y. Song, T. Xiang, T. Hospedales, Z. Ma, J. Guo and S. Gong, "SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt lake City, Utah, USA, June 2018.

J. Song, Q. Yu, Y. Song, T. Xiang and T. Hospedales, "Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval", in International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

X. Qian, Y. Fu, Y. Jiang, T. Xiang and X. Xue, "Multi-scale Deep Learning Architectures for Person Re-identification", in International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.

E. Kodirov, T. Xiang and S. Gong, "Semantic Autoencoder for Zero-Shot Learning", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, July 2017.

F. Liu, T. Xiang, T. Hospedales, W. Yang and C. Sun, "Semantic Regularisation for Recurrent Image Annotation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, July 2017.

L. Zhang, T. Xiang and S. Gong, "Learning a Deep Embedding Model for Zero-Shot Learning", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, July 2017.

E. Kodirov, T. Xiang, Z. Fu and S. Gong, "Person Re-Identification by Unsupervised L1 Graph Learning", in Proc. European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 2016.

P. Peng, Y. Tian, T. Xiang, Y. Wang and T. Huang, "Joint learning of Semantic and Latent Attributes", in Proc. European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 2016.

H. Wang, S. Gong, X. Zhu and T. Xiang, "Human-In-The-Loop Person Re-Identification", in Proc. European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 2016.

Q. Yu, Y. Yang, F. Liu, Y-Z. Song, T. Xiang and T. Hospedales, " Sketch-a-Net: a Deep Neural Network that Beats Humans", International Journal of Computer Vision (IJCV), to appear.

Z. Lu, Z. Fu, T. Xiang, P. Han, L. Wang and X. Gao, "Learning from Weak and Noisy Labels for Semantic Segmentation", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), to appear.

Q. Yu, F. Liu, Y. Song, T. Xiang, T. Hospedales, and C. Loy, "Sketch Me That Shoe", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, June 2016.

P. Peng, T. Xiang, Y. Wang, M. Pontil, S. Gong, T. Huang, and Y. Tian, "Unsupervised Cross-Dataset Transfer Learning for Person Re-identification", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, June 2016.

L. Zhang, T. Xiang and S. Gong, "Learning a Discriminative Null Space for Person Re-identification", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA, June 2016.

F. Zhao, Y. Huang, L. Wang, T. Xiang and T. Tan, "Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding", International Journal of Computer Vision (IJCV), to appear.

X. Kong, Y. Wang and Tao Xiang, "Robust Complex Behaviour Modeling at 90Hz", in AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, February 2016.

E. Kodirov, T. Xiang, Z. Fu and S. Gong, "Unsupervised Domain Adaptation for Zero-Shot Learning", in International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.

W. Zheng, X. Li, T. Xiang, S. Liao, J. Lai and S. Gong, "Partial Person Re-identification", in International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.

X. Li, W. Zheng, X. Li, T. Xiang and S. Gong, "Multi-scale Person Re-identification", in International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.

W. Zheng, S. Gong and T. Xiang, "Towards Open-World Person Re-Identification by One-Shot Group-based Verification", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 38, No. 3, pp. 591-606, March 2016.

Y. Fu, T. Hospedales, T. Xiang, J. Xiong, S. Gong, Y. Wang, and Y. Yao, "Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 38, No. 3, pp. 563-577, March 2016.