| Supervised domain adaptation: A graph embedding perspective and a rectified experimental protocol L Hedegaard, OA Sheikh-Omar, A Iosifidis IEEE Transactions on Image Processing 30, 8619-8631, 2021 | 35 | 2021 |
| Continual spatio-temporal graph convolutional networks L Hedegaard, N Heidari, A Iosifidis Pattern Recognition 140, 109528, 2023 | 31* | 2023 |
| Supervised domain adaptation using graph embedding LH Morsing, OA Sheikh-Omar, A Iosifidis 2020 25Th international conference on pattern recognition (ICPR), 7841-7847, 2021 | 25 | 2021 |
| Continual 3D convolutional neural networks for real-time processing of videos L Hedegaard, A Iosifidis European Conference on Computer Vision, 369-385, 2022 | 18 | 2022 |
| Structured pruning adapters L Hedegaard, A Alok, J Jose, A Iosifidis Pattern Recognition 156, 110724, 2024 | 12 | 2024 |
| Continual transformers: redundancy-free attention for online inference L Hedegaard, A Bakhtiarnia, A Iosifidis International Conference on Learning Representarions, 2023, 2022 | 11 | 2022 |
| Graph convolutional networks N Heidari, L Hedegaard, A Iosifidis Deep Learning for Robot Perception and Cognition, 71-99, 2022 | 10 | 2022 |
| Continual inference: a library for efficient online inference with deep neural networks in pytorch L Hedegaard, A Iosifidis European Conference on Computer Vision, 21-34, 2022 | 5 | 2022 |
| Human activity recognition L Hedegaard, N Heidari, A Iosifidis Deep Learning for Robot Perception and Cognition, 341-370, 2022 | 4 | 2022 |
| Efficient online processing with deep neural networks L Hedegaard arXiv preprint arXiv:2306.13474, 2023 | 1 | 2023 |
| Continual Low-Rank Scaled Dot-product Attention GC Picón, I Oleksiienko, L Hedegaard, A Bakhtiarnia, A Iosifidis arXiv preprint arXiv:2412.03214, 2024 | | 2024 |
Alexandros IosifidisProfessor, Aarhus UniversityOverená e-mailová adresa na: tuni.fi