Halin, A.* , Pierard, S.* , Vandeghen, R., Gérin, B., Zanella, M., Colot, M., Held, J., Cioppa, A., Jean, E., Bontempi, G., Mahmoudi, S., Macq, B., & Van Droogenbroeck, M. (09 December 2024). Physically Interpretable Probabilistic Domain Characterization [Paper presentation]. First International Workshop on AI-based All-Weather Surveillance System (AWSS), Hanoï, Vietnam. Peer reviewed * These authors have contributed equally to this work. |
Pierard, S., Halin, A., Cioppa, A., Deliège, A., & Van Droogenbroeck, M. (2024). Foundations of the Theory of Performance-Based Ranking. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/325534. |
Pierard, S., Halin, A., Cioppa, A., Deliège, A., & Van Droogenbroeck, M. (2024). The Tile: A 2D Map of Ranking Scores for Two-Class Classification. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/325533. |
Halin, A., Pierard, S., Cioppa, A., & Van Droogenbroeck, M. (2024). A Hitchhiker's Guide to Understanding Performances of Two-Class Classifiers. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/325532. |
Gérin, B.* , Halin, A.* , Cioppa, A.* , Henry, M., Ghanem, B., Macq, B., De Vleeschouwer, C., & Van Droogenbroeck, M. (June 2024). Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments [Paper presentation]. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), WAD, Seattle, United States. doi:10.1109/CVPRW63382.2024.00450 Peer reviewed * These authors have contributed equally to this work. |
Halin, A., & Pierard, S. (29 January 2024). Modularité, interprétabilité, fiabilité, et adaptabilité: des concepts clés pour les véhicules intelligents [Paper presentation]. Atelier sectoriel sur la mobilité, Liège, Belgium. |
Halin, A.* , Pierard, S.* , Vandeghen, R., Gérin, B., Zanella, M., Colot, M., Held, J., Cioppa, A., Jean, E., Bontempi, G., Mahmoudi, S., Macq, B., & Van Droogenbroeck, M. (2024). Physically Interpretable Probabilistic Domain Characterization. In Proceedings of ACCV 2024. The Computer Vision Foundation (CVF). Peer reviewed * These authors have contributed equally to this work. |
Houyon, J.* , Cioppa, A.* , Ghunaim, Y., Alfarra, M., Halin, A., Henry, M., Ghanem, B., & Van Droogenbroeck, M. (2023). Online Distillation with Continual Learning for Cyclic Domain Shifts. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2437-2446. doi:10.1109/CVPRW59228.2023.00242 Peer reviewed * These authors have contributed equally to this work. |
Pierard, S., Cioppa, A., Halin, A., Vandeghen, R., Maxime Zanella, Benoît Macq, Saïd Mahmoudi, & Van Droogenbroeck, M. (30 March 2023). Pushing AI out of the lab with on-the-fly mixture domain adaptation [Paper presentation]. The European AI week, Brussels, Belgium. |
Pierard, S., Cioppa, A., Halin, A., Vandeghen, R., Maxime Zanella, Benoît Macq, Saïd Mahmoudi, & Van Droogenbroeck, M. (2023). Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance. In Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision (WACVW) (pp. 22-31). IEEE. doi:10.1109/wacvw58289.2023.00007 Peer reviewed |
Halin, A., Verly, J., & Van Droogenbroeck, M. (18 August 2021). Survey and synthesis of state of the art in driver monitoring. Sensors, 21 (16), 1-49. doi:10.3390/s21165558 Peer Reviewed verified by ORBi |