Follow
Sovan Biswas
Sovan Biswas
Intel Labs, Past: Universität Bonn, Indian Institute of Science Bangalore, IBM Research India
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
Real time anomaly detection in H. 264 compressed videos
S Biswas, RV Babu
Computer Vision, Pattern Recognition, Image Processing and Graphics …, 2013
652013
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis
S Biswas, J Gall
Applications of Computer Vision (WACV), 2018 IEEE Winter Conference on, 1625 …, 2018
612018
Anomaly detection via short local trajectories
S Biswas, RV Babu
Neurocomputing 242, 63-72, 2017
332017
H. 264 compressed video classification using histogram of oriented motion vectors (HOMV)
S Biswas, RV Babu
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
292013
Anomaly detection in compressed H. 264/AVC video
S Biswas, RV Babu
Multimedia Tools and Applications 74 (24), 11099-11115, 2015
282015
Sparse representation based anomaly detection with enhanced local dictionaries
S Biswas, RV Babu
2014 IEEE International Conference on Image Processing (ICIP), 5532-5536, 2014
222014
Joint temporal segmentation and classification of user activities in egocentric videos
S Biswas, A Gandhi, A Biswas, OD Deshmukh
US Patent 9,830,516, 2017
202017
Super-pixel based crowd flow segmentation in H.264 compressed videos
S Biswas, RG Praveen, RV Babu
Image Processing (ICIP), 2014 IEEE International Conference on, 2319 - 2323, 2014
142014
Short Local Trajectory based moving anomaly detection
S Biswas, RV Babu
Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP …, 2014
102014
Sparse Representation based Anomaly Detection using HOMV in H. 264 Compressed Videos
S Biswas, RV Babu
Signal Processing and Communications (SPCOM), 2014 International Conference on, 2014
72014
Document Segmentation for Labeling with Academic Learning Objectives
D Bhartiya, D Contractor, S Biswas, B Sengupta, M Mohania
International Conference on Educational Data Mining (EDM), 2016
52016
Multiple Instance Triplet Loss for Weakly Supervised Multi-Label Action Localisation of Interacting Persons
S Biswas, J Gall
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting
S Biswas, J Gall
Proceedings of the Asian Conference on Computer Vision (ACCV), 2020
22020
Hierarchical Graph-RNNs for Action Detection of Multiple Activities
S Biswas, Y Souri, J Gall
2019 IEEE International Conference on Image Processing (ICIP), 3686-3690, 2019
22019
Motion based Event Analysis
S Biswas
Master of Science (Engg.) Thesis, Indian Institute of Science, 2014
2*2014
Processing videos based on temporal stages
S Biswas, AD Rhodes, RR Manuvinakurike, G Raffa, R Beckwith
US Patent App. 18/050,757, 2023
12023
Human in the loop approaches in multi-modal conversational task guidance system development
R Manuvinakurike, S Biswas, G Raffa, R Beckwith, A Rhodes, M Shi, ...
arXiv preprint arXiv:2211.01824, 2022
12022
Calibrating confidence of classification models
AD Rhodes, S Biswas, G Raffa
US Patent App. 18/050,929, 2023
2023
Semi-supervised video temporal action recognition and segmentation
S Biswas, A Rhodes, R Manuvinakurike, G Raffa, R Beckwith
US Patent App. 17/936,941, 2023
2023
Auxiliary middle frame prediction loss for robust video action segmentation
A Rhodes, S Biswas, G Raffa
US Patent App. 17/932,339, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20