| Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted interactions R Chandra, U Bhattacharya, A Bera, D Manocha Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 202 | 2019 |
| Porca: Modeling and planning for autonomous driving among many pedestrians Y Luo, P Cai, A Bera, D Hsu, WS Lee, D Manocha IEEE Robotics and Automation Letters 3 (4), 3418-3425, 2018 | 127 | 2018 |
| M3er: Multiplicative multimodal emotion recognition using facial, textual, and speech cues T Mittal, U Bhattacharya, R Chandra, A Bera, D Manocha Proceedings of the AAAI conference on artificial intelligence 34 (02), 1359-1367, 2020 | 123 | 2020 |
| Emotions don't lie: An audio-visual deepfake detection method using affective cues T Mittal, U Bhattacharya, R Chandra, A Bera, D Manocha Proceedings of the 28th ACM international conference on multimedia, 2823-2832, 2020 | 113 | 2020 |
| Forecasting trajectory and behavior of road-agents using spectral clustering in graph-lstms R Chandra, T Guan, S Panuganti, T Mittal, U Bhattacharya, A Bera, ... IEEE Robotics and Automation Letters 5 (3), 4882-4890, 2020 | 100 | 2020 |
| Sociosense: Robot navigation amongst pedestrians with social and psychological constraints A Bera, T Randhavane, R Prinja, D Manocha 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 88 | 2017 |
| EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle T Mittal, P Guhan, U Bhattacharya, R Chandra, A Bera, D Manocha Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 71 | 2020 |
| Step: Spatial temporal graph convolutional networks for emotion perception from gaits U Bhattacharya, T Mittal, R Chandra, T Randhavane, A Bera, D Manocha Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1342-1350, 2020 | 68 | 2020 |
| Realtime anomaly detection using trajectory-level crowd behavior learning A Bera, S Kim, D Manocha Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 68 | 2016 |
| GLMP-Realtime Pedestrian Path Prediction using Global and Local Movement Patterns A Bera, S Kim, T Randhavane, S Pratapa, D Manocha International Conference on Robotics and Automation (ICRA), 2016 | 58 | 2016 |
| Realtime multilevel crowd tracking using reciprocal velocity obstacles A Bera, D Manocha IEEE International Conference on Pattern Recognition 2014, 2014 | 54 | 2014 |
| Aggressive, Tense or Shy? Identifying Personality Traits from Crowd Videos A Bera, T Randhavane, D Manocha International Joint Conference on Artificial Intelligence, 112--118, 2017 | 52 | 2017 |
| Identifying emotions from walking using affective and deep features T Randhavane, U Bhattacharya, K Kapsaskis, K Gray, A Bera, D Manocha arXiv preprint arXiv:1906.11884, 2019 | 51 | 2019 |
| Efficient trajectory extraction and parameter learning for data-driven crowd simulation. A Bera, S Kim, D Manocha Graphics Interface 70, 2015 | 51 | 2015 |
| Interactive and adaptive data-driven crowd simulation S Kim, A Bera, A Best, R Chabra, D Manocha IEEE Virtual Reality (VR), 29 - 38, 2016 | 50 | 2016 |
| Robusttp: End-to-end trajectory prediction for heterogeneous road-agents in dense traffic with noisy sensor inputs R Chandra, U Bhattacharya, C Roncal, A Bera, D Manocha Proceedings of the 3rd ACM Computer Science in Cars Symposium, 1-9, 2019 | 43 | 2019 |
| Adapt: real-time adaptive pedestrian tracking for crowded scenes A Bera, N Galoppo, D Sharlet, A Lake, D Manocha 2014 IEEE International Conference on Robotics and Automation (ICRA), 1801-1808, 2014 | 38 | 2014 |
| Identifying driver behaviors using trajectory features for vehicle navigation E Cheung, A Bera, E Kubin, K Gray, D Manocha 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 37 | 2018 |
| Lcrowdv: Generating labeled videos for simulation-based crowd behavior learning E Cheung, TK Wong, A Bera, X Wang, D Manocha Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 32 | 2016 |
| Emotions don’t lie: A deepfake detection method using audio-visual affective cues T Mittal, U Bhattacharya, R Chandra, A Bera, D Manocha arXiv preprint arXiv:2003.06711 3, 2020 | 31 | 2020 |
Dinesh ManochaDistinguished University Professor, University of Maryland at College ParkVerified email at umd.edu
