Tian Xu

Research Associate

Computer Laboratory, University of Cambridge


(Prior to this, I was a postdoc in Institute of Neuroscience & Psychology, 

University of Glasgow. Before that, I obtained my PhD from School of 

Computing Science, University of Glasgow.)


Email:  tian.xu AT cl.cam.ac.uk

Research Interests

Computer Vision:       Developing algorithms for facial expression and action unit recognition from image sequences.

                                      Researching on how to optimize image processing algorithms such as stereo matching for robotic vision. 

Deep Learning:           Exploiting psychophysical methods to understand mechanisms of deep neural network for face recognition.

Parallel Computing:   Investigating how to accelerate algorithms for real-time applications by utilizing multi-core CPU and GPU. 


Publications 

Tian Xu, Jennifer White, Sinan Kalkan, Hatice Gunes, Investigating bias and fairness in facial expression recognition. In Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part VI 16 (pp. 506-523). Springer International Publishing. 2020.

Tian Xu, Jiayu Zhan, Oliver G.B. Garrod, Philip H.S. Torr, Song-Chun Zhu, Robin A.A. Ince, Philippe G. Schyns, Deeper Interpretability of Deep Networks. arXiv preprint arXiv:1811.07807 (2018).

Tian Xu, Oliver G.B. Garrod, Steven H Scholte, Robin A.A. Ince, Philippe G Schyns, Using Psychophysical Methods to Understand Mechanisms of Face Identification in a Deep Neural Network. Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, US, 2018. [SuppMat]

Tian Xu, Oliver G.B. Garrod, Chaona Chen, Rachael E. Jack, Philippe G. Schyns, Deep Neural Network Identifies Dynamic Facial Action Units from Image Sequences. Vision Sciences Society. 2018.

Oliver G.B. Garrod, Tian Xu, Philippe G. Schyns, Understanding Information Processing Mechanisms for Face Categorizations in Deep Neural Networks. Vision Sciences Society. 2018.

Tian Xu, Oliver G.B. Garrod, Lukas Snoek, Steven H Scholte, Philippe G Schyns, Using Psychophysical Methods to Study Face Identification in a Deep Neural Network. (2017) Journal of Vision. 17. 248. 10.1167/17.10.248.

Tian Xu, Efficient and accurate stereo matching for cloth manipulation. PhD Dissertation, University of Glasgow, 2016.

Tian Xu and W. Paul Cockshott, Evaluation of Foveated Stereo Matching for Robotic Cloth Manipulation. 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2016), Rome, Italy, 2016.

Tian Xu and W. Paul Cockshott, Guided Filtering Based Pyramidical Stereo Matching for Unrectified Images. International Conference of Image and Vision Computing New Zealand (IVCNZ 2015), Auckland, New Zealand, 2015. (Best Paper Award)

Mozhgan Chimeh, W. Paul Cockshott, Susanne B. Oehler, Ashkan Tousimojarad and Tian Xu. Compiling Vector Pascal to the XeonPhi. Concurrency and Computation: Practice and Experience, pages 5060-5075, 2015.

Tian Xu, W. Paul Cockshott, and Susanne Oehler. Acceleration of Stereo-Matching on Multi-core CPU and GPU. In: 16th IEEE International Conference on High Performance Computing and Communications (HPCC 2014), Paris, France, 2014.

W. Paul Cockshott, Susanne Oehler and Tian Xu. Developing a compiler for the XeonPhi (TR-2014-341). Technical Report. University of Glasgow, Glasgow, 2014. 

W. Paul Cockshott, Susanne Oehler, Tian Xu, J. Paul Siebert, and Gerardo Aragon-Camarasa. Parallel Stereo Vision Algorithm. Many-core Applications Research Community Symposium (MARC 2012), pages 45-50, Aachen, Germany, 2012.

Tian Xu, and W. Paul Cockshott. Multi-core Efficiency Optimization for Pyramid Algorithm in Image Processing, Poster, International Computer Vision summer school (ICVSS), Sicily, Italy, July 2012