Sukrit Shashi Shankar
Cited by
Cited by
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
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
A comprehensive model for catalytic membrane reactor
S Kumar, S Shankar, PR Shah, S Kumar
International Journal of Chemical Reactor Engineering 4 (1), 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
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
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
Warping trajectories for video synchronization
S Shankar, J Lasenby, A Kokaram
Proceedings of the 4th ACM/IEEE international workshop on Analysis and …, 2013
A novel semantics and feature preserving perspective for content aware image retargeting
S Shankar, PL Dragotti
arXiv preprint arXiv:1506.04806, 2015
Talking time to frequency transformation
S Shankar
IEEE Potentials 31 (6), 16-21, 2012
„Std 1076–2008, IEEE Standard VHDL Language Reference Manual “
IEEE Design Automation Standards Committee
IEEE, New York, NY, USA, 2008
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
Method and system for predicting garment attributes using deep learning
Y Chen, S Shankar, J Downing, J Townsend, D Robertson, T Adeyoola
US Patent App. 16/304,380, 2020
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
The system can't perform the operation now. Try again later.
Articles 1–13