My main research interests are: Machine Learning such as Probabilistic Graphical Models, e.g. Conditional Random Fields, Large-scale Deep Learning. Computer Vision including Image Segmentation , Object Detection, and Biometrics.
Latest Publications (More):
- Anurag Arnab, Sadeep Jayasumana, Shuai Zheng, Philip Torr. Higher Order Conditional Random Fields in Deep Neural Networks. European Conference on Computer Vision (ECCV), 2016.
- James Thewlis, Shuai Zheng, Philip Torr, Andrea Vedaldi. Fully-Trainable Deep Matching. British Machine Vision Conference (BMVC), 2016. (oral)
- Alexander Kirillov, Dmitrij Schlesinger, Walter Forkel, Anatoly Zelenin, Shuai Zheng, Philip Torr, Carsten Rother. Efficient Likelihood Learning of a Generic CNN-CRF Model for Semantic Segmentation. arXiv:1511.05067. 2015.
- Shuai Zheng*, Sadeep Jayasumana*, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang and Philip H.S. Torr, Conditional Random Fields as Recurrent Neural Networks. IEEE International Conference on Computer Vision (ICCV), 2015.[Project][demo][talk][code]
If I have seen further than others, it is by standing upon the shoulders of giants. -Isaac Newton