ProgDTD: Progressive learned image compression with double-tail-drop training A Hojjat, J Haberer, O Landsiedel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
Machine Learning with Computer Networks: Techniques, Datasets and Models H Afifi, S Pochaba, A Boltres, D Laniewski, J Haberer, P Leonard, ... IEEE access, 2024 | 4 | 2024 |
Activation sparsity and dynamic pruning for split computing in edge AI J Haberer, O Landsiedel Proceedings of the 3rd International Workshop on Distributed Machine …, 2022 | 3 | 2022 |
HydraViT: Stacking Heads for a Scalable ViT J Haberer, A Hojjat, O Landsiedel arXiv preprint arXiv:2409.17978, 2024 | | 2024 |
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks A Hojjat, J Haberer, T Zainab, O Landsiedel Proceedings of the 22nd Annual International Conference on Mobile Systems …, 2024 | | 2024 |
Analyzing Sparsity of Deep Neural Networks in an Edge AI Split Computing Scenario J Haberer, O Landsiedel | | |