| Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks P Bhattacharjee, S Das 31st Conference on Advances in Neural Information Processing Systems, 2017 | 54 | 2017 |
| Two-stream convolutional network with multi-level feature fusion for categorization of human action from videos P Bhattacharjee, S Das Pattern Recognition and Machine Intelligence: 7th International Conference …, 2017 | 10 | 2017 |
| Directional attention based video frame prediction using graph convolutional networks P Bhattacharjee, S Das 2019 International Joint Conference on Neural Networks (IJCNN), 1-10, 2019 | 5 | 2019 |
| Context Graph based Video Frame Prediction using Locally Guided Objective P Bhattacharjee, S das Anticipating Human Behavior (AHB), 15th European Conference on Computer …, 2018 | 4 | 2018 |
| Predicting Video Frames using Feature Based Locally Guided Objectives P Bhattacharjee, S Das 14th Asian Conference on Computer Vision (ACCV), 2018 | 4 | 2018 |
| Performance of deep learning algorithms vs. shallow models, in extreme conditions-some empirical studies S Banerjee, P Bhattacharjee, S Das Pattern Recognition and Machine Intelligence: 7th International Conference …, 2017 | 2 | 2017 |
Sukhendu DasProfessor of Computer Science and Engg., IIT Madras, Chennai, IndiaGeverifieerd e-mailadres voor iitm.ac.in
