| Real time anomaly detection in H. 264 compressed videos S Biswas, RV Babu Computer Vision, Pattern Recognition, Image Processing and Graphics …, 2013 | 65 | 2013 |
| 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 | 58 | 2018 |
| Anomaly detection via short local trajectories S Biswas, RV Babu Neurocomputing 242, 63-72, 2017 | 32 | 2017 |
| Anomaly detection in compressed H. 264/AVC video S Biswas, RV Babu Multimedia Tools and Applications 74 (24), 11099-11115, 2015 | 27 | 2015 |
| 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 | 27 | 2013 |
| Sparse representation based anomaly detection with enhanced local dictionaries S Biswas, RV Babu 2014 IEEE International Conference on Image Processing (ICIP), 5532-5536, 2014 | 22 | 2014 |
| 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 | 18 | 2017 |
| 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 | 14 | 2014 |
| Short Local Trajectory based moving anomaly detection S Biswas, RV Babu Indian Conference on Computer Vision Graphics and Image Processing (ICVGIP …, 2014 | 10 | 2014 |
| 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 | 6 | 2014 |
| 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 | 4 | 2021 |
| 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 | 4 | 2016 |
| 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 | 2 | 2019 |
| Motion based Event Analysis S Biswas Master of Science (Engg.) Thesis, Indian Institute of Science, 2014 | 2* | 2014 |
| 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 | 1 | 2020 |
| Processing videos based on temporal stages S Biswas, AD Rhodes, RR Manuvinakurike, G Raffa, R Beckwith US Patent App. 18/050,757, 2023 | | 2023 |
| 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 |
| Leveraging epistemic confidence for multi-modal feature processing A Rhodes, S Biswas, G Raffa US Patent App. 17/816,468, 2022 | | 2022 |
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
