| A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection KV Thakare, N Sharma, DP Dogra, H Choi, IJ Kim Expert Systems with Applications 201, 117030, 2022 | 24 | 2022 |
| Dyannet: A scene dynamicity guided self-trained video anomaly detection network KV Thakare, Y Raghuwanshi, DP Dogra, H Choi, IJ Kim Proceedings of the IEEE/CVF Winter conference on applications of computer …, 2023 | 11 | 2023 |
| Detection of road accidents using synthetically generated multi-perspective accident videos TK Vijay, DP Dogra, H Choi, G Nam, IJ Kim IEEE Transactions on Intelligent Transportation Systems 24 (2), 1926-1935, 2022 | 7 | 2022 |
| Rareanom: a benchmark video dataset for rare type anomalies KV Thakare, DP Dogra, H Choi, H Kim, IJ Kim Pattern Recognition 140, 109567, 2023 | 6 | 2023 |
| Object interaction-based localization and description of road accident events using deep learning KV Thakare, DP Dogra, H Choi, H Kim, IJ Kim IEEE Transactions on Intelligent Transportation Systems 23 (11), 20601-20613, 2022 | 4 | 2022 |
| PIDLNet: A physics-induced deep learning network for characterization of crowd videos S Behera, TK Vijay, HM Kausik, DP Dogra 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 | 4 | 2021 |
| Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach KV Thakare, DP Dogra, H Choi, H Kim, IJ Kim Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Analysis of Covid-19 Appropriate Mask Wearing Behaviour in Indian Cities Using Deep Learning JK Bhattacharyya, TK Vijay, DP Dogra 2022 IEEE India Council International Subsections Conference (INDISCON), 1-6, 2022 | | 2022 |
Dr. Debi Prosad DograAssociate Professor, IIT BhubaneswarVerified email at iitbbs.ac.in
