Mixture domain adaptation to improve semantic segmentation in real-world surveillance S Piérard, A Cioppa, A Halin, R Vandeghen, M Zanella, B Macq, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 7 | 2023 |
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? M Zanella, I Ben Ayed Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
Low-Rank Few-Shot Adaptation of Vision-Language Models M Zanella, I Ben Ayed Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
Exploring viability of Test-Time Training: Application to 3D segmentation in Multiple Sclerosis B Gérin, M Zanella, M Wynen, S Mahmoudi, B Macq, C De Vleeschouwer 2024 IEEE Conference on Artificial Intelligence (CAI), 557-562, 2024 | | 2024 |
Boosting Vision-Language Models with Transduction M Zanella, B Gérin, IB Ayed arXiv preprint arXiv:2406.01837, 2024 | | 2024 |
Pushing AI out of the lab with on-the-fly mixture domain adaptation S Pierard, A Cioppa, A Halin, R Vandeghen, M Zanella, B Macq, ... The European AI week, 2023 | | 2023 |
Deep Learning in mammography M Zanella, B Macq | | |