Driver identification using automobile sensor data from a single turn D Hallac, A Sharang, R Stahlmann, A Lamprecht, M Huber, M Roehder, ... 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 161 | 2016 |
Anomaly localization in topic-based analysis of surveillance videos D Pathak, A Sharang, A Mukerjee 2015 IEEE winter conference on applications of computer vision, 389-395, 2015 | 33 | 2015 |
SnapVX: A network-based convex optimization solver D Hallac, C Wong, S Diamond, A Sharang, S Boyd, J Leskovec Journal of Machine Learning Research 18 (4), 1-5, 2017 | 30 | 2017 |
Using machine learning for medium frequency derivative portfolio trading A Sharang, C Rao arXiv preprint arXiv:1512.06228, 2015 | 28 | 2015 |
Modelling visit similarity using click-stream data: A supervised approach D Pai, A Sharang, MM Yadagiri, S Agrawal Web Information Systems Engineering–WISE 2014: 15th International Conference …, 2014 | 16 | 2014 |
Visitor session classification based on clickstreams D Pai, A Sharang, MM Yadagiri, S Agrawal US Patent 10,115,121, 2018 | 6 | 2018 |
Recurrent and contextual models for visual question answering A Sharang, E Lau arXiv preprint arXiv:1703.08120, 2017 | 1 | 2017 |
On the generation of word vectors using dictionaries P Jindal, A Paranjape, A Sharang | | |
The influence of Action Production System on Action Understanding in 12 month old infants (Cannon N., Woodward A., 2011) A Sharang | | |
On the role of tacit knowledge in expertise A Sharang | | |
A computational model for top down attention A Sharang | | |
Global Contrast based Salient Region Detection A Sharang | | |
A computational model for top down visual attention A Sharang | | |
CS 365 Project Report Digital Image Forensics A Sharang, P Jindal | | |
Object co-segmentation across multiple images using saliency and novel region merging technique A Sharang, M Dawood | | |
Digital Image forensics using noise features A Sharang, P Jindal | | |
Object co-segmentation across multiple images using saliency A Sharang, M Dawood | | |
Unsupervised Modelling of ‘Usual’Events and Detecting Anomalies in Videos A Mukerjee, D Pathak, A Sharang | | |