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):
- Huikai Wu, Shuai Zheng, Junge Zhang, and Kaiqi Huang. GP-GAN: Towards Realistic High-Resolution Image Blending. technical report, 2017. ( arXiv:1703.07195)
Mans Larsson, Anurag Arnab, Fredrik Kahl, Shuai Zheng, and Philip Torr. Learning Arbitrary Potentials in CRFs with Gradient Descent. technical report, 2017. ( arXiv:1701.06805)
- 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, Shuai Zheng, Bogdan Savchynskyy, Philip Torr, Carsten Rother. Joint Training of Generic CNN-CRF Models with Stochastic Optimization. Asian Conference on Computer Vision (ACCV), 2016.
If I have seen further than others, it is by standing upon the shoulders of giants. -Isaac Newton