| DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets S Shankar, VK Garg, R Cipolla The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp …, 2015 | 74 | 2015 |
| Refining architectures of deep convolutional neural networks S Shankar, D Robertson, Y Ioannou, A Criminisi, R Cipolla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 35 | 2016 |
| A comprehensive model for catalytic membrane reactor S Kumar, S Shankar, PR Shah, S Kumar International journal of chemical reactor engineering 4 (1), 2006 | 28 | 2006 |
| Predicting personal traits from facial images using convolutional neural networks augmented with facial landmark information Y Lewenberg, Y Bachrach, S Shankar, A Criminisi Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 24 | 2016 |
| Method and system for predicting garment attributes using deep learning Y Chen, S Shankar, J Downing, J Townsend, D Robertson, T Adeyoola US Patent 11,080,918, 2021 | 21 | 2021 |
| Std 1076-2008, IEEE Standard VHDL Language Reference Manual IEEE Design Automation Standards Committee IEEE, New York, NY, USA, 2008 | 7 | 2008 |
| Semantic transform: Weakly supervised semantic inference for relating visual attributes S Shankar, J Lasenby, R Cipolla Proceedings of the IEEE International Conference on Computer Vision, 361-368, 2013 | 6 | 2013 |
| A novel semantics and feature preserving perspective for content aware image retargeting S Shankar, PL Dragotti arXiv preprint arXiv:1506.04806, 2015 | 4 | 2015 |
| Synchronization of user-generated videos through trajectory correspondence and a refinement procedure S Shankar, J Lasenby, A Kokaram Proceedings of the 10th European Conference on Visual Media Production, 1-10, 2013 | 4 | 2013 |
| Warping trajectories for video synchronization S Shankar, J Lasenby, A Kokaram Proceedings of the 4th ACM/IEEE international workshop on Analysis and …, 2013 | 4 | 2013 |
| Method and system for providing photorealistic changes for digital image Y Chen, J Downing, T Adeyoola, S Shankar US Patent 11,270,476, 2022 | 2 | 2022 |
| Talking time to frequency transformation S Shankar IEEE Potentials 31 (6), 16-21, 2012 | 2 | 2012 |
| Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks T Partridge, A Astolfo, SS Shankar, FA Vittoria, M Endrizzi, S Arridge, ... Nature communications 13 (1), 4651, 2022 | 1 | 2022 |
| Self-supervised social distance detector SH Rejal, S Shankar, RN Shah US Patent App. 16/899,550, 2021 | 1 | 2021 |
| Part Bricolage: Flow-Assisted Part-Based Graphs for Detecting Activities in Videos S Shankar, V Badrinarayanan, R Cipolla Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 1 | 2014 |
| Explainable multi-entity event recognition S Shankar, S Rejal US Patent 11,270,122, 2021 | | 2021 |
| Method of generating an image file of a 3D body model of a user wearing a garment Y Chen, S Shankar, D Shin, D Chalmers, J Downing, T Adeyoola US Patent 10,997,779, 2021 | | 2021 |
Roberto CipollaProfessor of Information Engineering, University of CambridgeVerified email at eng.cam.ac.uk
