Sukrit Shankar
TitleCited byYear
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
542015
A comprehensive model for catalytic membrane reactor
S Kumar, S Shankar, PR Shah, S Kumar
International journal of chemical reactor engineering 4 (1), 2006
252006
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
192016
Predicting personal traits from facial images using convolutional neural networks augmented with facial landmark information
Y Lewenberg, Y Bachrach, S Shankar, A Criminisi
Thirtieth AAAI Conference on Artificial Intelligence, 2016
102016
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
52013
Warping trajectories for video synchronization
S Shankar, J Lasenby, A Kokaram
Proceedings of the 4th ACM/IEEE international workshop on Analysis and …, 2013
42013
Std 1076-2008, IEEE Standard VHDL Language Reference Manual
IEEE Design Automation Standards Committee
IEEE, New York, NY, USA, 2008
42008
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, 15, 2013
32013
A Novel Semantics and Feature Preserving Perspective for Content Aware Image Retargeting
S Shankar, PL Dragotti
arXiv preprint arXiv:1506.04806, 2015
22015
Part Bricolage: Flow-Assisted Part-Based Graphs for Detecting Activities in Videos
S Shankar, V Badrinarayanan, R Cipolla
European Conference on Computer Vision, 586-601, 2014
12014
Talking time to frequency transformation
S Shankar
IEEE Potentials 31 (6), 16-21, 2012
12012
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Articles 1–11