Publications [by years] [by topics] [Google_Scholar_Profile] [Bibtex]


  • M. Larsson, A. Arnab, F. Kahl, S. Zheng, and P. H. S. Torr. Learning Arbitrary Potentials in CRFs with Gradient Descent. International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2017. ( arXiv:1701.06805)
  • H. Wu, S. Zheng, J. Zhang, and K. Huang. GP-GAN: Towards Realistic High-Resolution Image Blendingtechnical report, 2017. ( arXiv:1703.07195)
  • A. Arnab*, S. Zheng*, S. Jayasumana, B. Romera-Paredes, M. Larsson, A. Kirillov, B. Savchynskyy, C. Rother, F. Kahl, and P. H. S. Torr.  Conditional Random Fields meet Deep Neural Networks for Semantic Segmentation. IEEE Signal Processing Magazine Special Issue in Deep Learning for Visual Understanding White Paper. 2017. (accepted, * joint author)


  • S. Zheng. Holistic image understanding with deep learning and dense random fields. DPhil thesis, University of Oxford, 2016.
  • J.Thewlis, S. Zheng, P. H. S. Torr, A. Vedaldi. Fully-trainable deep matching. British Machine Vision Conference (BMVC), York, United Kingdom, 2016. (oral)


  • M. Cheng, V. Prisacariu, S. Zheng, P. Torr, C Rother. “DenseCut: Densely Connected CRFs for Realtime GrabCut” , Computer Graphics Forum (CGF), special issue of Pacific Graphics, Beijing, China, 2015. (oral & journal) [Project][pdf][bib][code]
  • S. Zheng, V. Prisacariu, M Averkiou, M. Cheng, N. Mitra, J. Shotton, P. Torr, C. Rother. “Object Proposal Estimation in Depth Images using Compact 3D Shape Manifolds”, German Conference on Pattern Recognition (GCPR), Aachen, Germany, 2015. (oral)[pdf][bib]






Notes: IEEE TPAMI is the #1 IEEE publication. ACM TOG is the most-cited ACM Transaction. IEEE TPAMI, ACM TOG, and IEEE TVCG are CCF Tier-A JournalsSIGGRAPH, CVPR, and ICCV are CCF Tier-A Conferences and they have CiteSeer impact factor ranking top 0.7%, top 5%, and top 5% of all computer science journals and conferences respectively.


To achieve great things, two things are needed; a plan, and not quite enough time. -Leonard Bernstein