| Graph-based object classification for neuromorphic vision sensing Y Bi, A Chadha, A Abbas, E Bourtsoulatze, Y Andreopoulos Proceedings of the IEEE/CVF international conference on computer vision, 491-501, 2019 | 157 | 2019 |
| Graph-based spatio-temporal feature learning for neuromorphic vision sensing Y Bi, A Chadha, A Abbas, E Bourtsoulatze, Y Andreopoulos IEEE Transactions on Image Processing 29, 9084-9098, 2020 | 112 | 2020 |
| Video classification with CNNs: Using the codec as a spatio-temporal activity sensor A Chadha, A Abbas, Y Andreopoulos IEEE Transactions on Circuits and Systems for Video Technology 29 (2), 475-485, 2017 | 38 | 2017 |
| Neuromorphic vision sensing for CNN-based action recognition A Chadha, Y Bi, A Abbas, Y Andreopoulos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 18 | 2019 |
| Biased mixtures of experts: Enabling computer vision inference under data transfer limitations A Abbas, Y Andreopoulos IEEE Transactions on Image Processing 29, 7656-7667, 2020 | 14 | 2020 |
| Compressed-domain video classification with deep neural networks:“There's way too much information to decode the matrix” A Chadha, A Abbas, Y Andreopoulos 2017 IEEE International Conference on Image Processing (ICIP), 1832-1836, 2017 | 12 | 2017 |
| Vectors of locally aggregated centers for compact video representation A Abbas, N Deligiannis, Y Andreopoulos 2015 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2015 | 11 | 2015 |
| Verifiable event record management for a store-carry-forward-based data delivery platform by blockchain Y Watanabe, W Liu, A Abbas, Y Andreopoulos, M Hasegawa, Y Shoji 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile …, 2020 | 4 | 2020 |
| PAC-Bayesian Bounds on Rate-Efficient Classifiers A Abbas, Y Andreopoulos International Conference on Machine Learning, 1-9, 2022 | | 2022 |
| Adapting Computer Vision Models To Limitations On Input Dimensionality And Model Complexity A Abbas UCL (University College London), 2020 | | 2020 |
| Self-Supervised Learning From Compressed Spatio-Temporal Representations Of Data I Andreopoulos, A Chadha, Y Bi, A Abbas | | |
| Graph-Based Object Classification for Neuromorphic Vision Sensing Supplementary Material Y Bi, A Chadha, A Abbas, E Bourtsoulatze, Y Andreopoulos | | |
