| Learned gradient compression for distributed deep learning L Abrahamyan, Y Chen, G Bekoulis, N Deligiannis IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7330-7344, 2021 | 42 | 2021 |
| Bias loss for mobile neural networks L Abrahamyan, V Ziatchin, Y Chen, N Deligiannis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 24 | 2021 |
| Gradient variance loss for structure-enhanced image super-resolution L Abrahamyan, AM Truong, W Philips, N Deligiannis ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 20 | 2022 |
| Automatic Multi-Camera extrinsic parameter calibration based on pedestrian torsors AM Truong, W Philips, N Deligiannis, L Abrahamyan, J Guan Sensors 19 (22), 4989, 2019 | 5 | 2019 |
| Automatic extrinsic calibration of camera networks based on pedestrians AM Truong, W Philips, J Guan, N Deligiannis, L Abrahamyan Proceedings of the 13th International Conference on Distributed Smart …, 2019 | 3 | 2019 |
| Entropy-based feature extraction for real-time semantic segmentation L Abrahamyan, N Deligiannis 2022 IEEE International Conference on Image Processing (ICIP), 591-595, 2022 | 1 | 2022 |
| Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning Y Chen, L Abrahamyan, H Sahli, N Deligiannis IEEE Open Journal of the Communications Society, 2024 | | 2024 |
| Learned Model Compression for Efficient and Privacy-Preserving Federated Learning Y Chen, L Abrahamyan, H Sahli, N Deligiannis Authorea Preprints, 2024 | | 2024 |
| A method for a distributed learning L Abrahamyan, N Deligiannis US Patent App. 18/007,530, 2023 | | 2023 |
| Optimization of deep learning methods for computer vision L Abrahamyan | | 2022 |
Nikos DeligiannisVrije Universiteit Brussel, imec在 etrovub.be 的电子邮件经过验证
