1. Carles Cantero, Olivier Absil, Carl-Henrik Dahlqvist, and Marc Van Droogenbroeck. NA-SODINN: A deep learning algorithm for exoplanet image detection based on residual noise regimes. Astronomy & Astrophysics, 680:1-24, December 2023. Keyword(s): Exoplanet, Detection, High-contrast imaging, Noise, Noise regime, Gaussian, Laplacian, NA-SODINN. [bibtex-entry]



2. Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, Hassan Mkhallati, Adrien Deliège, Jan Held, Carlos Hinojosa, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, and et al.. SoccerNet 2023 Challenges Results. arXiv, abs/2309.06006, 2023. Keyword(s): SoccerNet, Challenge. [bibtex-entry]



3. Giovanny Moncayo-Unda, Marc Van Droogenbroeck, Ismaël Saadi, and Mario Cools. A longitudinal analysis of the COVID-19 effects on the variability in Human Activity Spaces in Quito, Ecuador. Journal of Transport Geography, 113:1-13, December 2023. Keyword(s): Google location history, Activity point location, Human activity space, Travel, Covid, Timeline tracking, Longitudinal data. [bibtex-entry]

1. Olivier Absil, Carles Cantero, and Marc Van Droogenbroeck. Machine learning for direct exoplanet imaging. In Biomedical and Astronomical Signal Processing (BASP) Frontiers, Villars-sur-Ollon, Switzerland, February 2023. Keyword(s): Exoplanet, Machine learning. [bibtex-entry]



2. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Vladimir Somers, Floriane Magera, Hassan Mkhallati, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet Exploring the Game with Computer Vision. In Rising Stars in AI Symposium, Thuwal, Saudi Arabia, February 2023. Note: Invited talk. Keyword(s): SoccerNet, Soccer, Football, Deep learning, Machine learning, Artificial intelligence. [bibtex-entry]



3. Michaël Fonder and Marc Van Droogenbroeck. A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles. In IEEE International Conference on Systems, Signals and Image Processing (IWSSIP), Ohrid, North Macedonia, pages 1-5, June 2023. Keyword(s): Depth, Depth estimation, Depth uncertainty, Deep learning, Drone, UAV, Parallax. [bibtex-entry]



4. Silvio Giancola, Anthony Cioppa, Julia Georgieva, Johsan Billingham, Andreas Serner, Kerry Peek, Bernard Ghanem, and Marc Van Droogenbroeck. Towards Active Learning for Action Spotting in Association Football Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Vancouver, Canada, pages 5098-5108, June 2023. Keyword(s): Soccer, Action spotting, Active learning, SoccerNet. [bibtex-entry]



5. Jan Held, Anthony Cioppa, Silvio Giancola, Abdullah Hamdi, Bernard Ghanem, and Marc Van Droogenbroeck. VARS: Video Assistant Referee System for Automated Soccer Decision Making from Multiple Views. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Vancouver, Canada, pages 5086-5097, June 2023. Keyword(s): Soccer, Referee, Multiple views, Decision. [bibtex-entry]



6. Joachim Houyon, Anthony Cioppa, Yasir Ghunaim, Motasem Alfarra, Anaïs Halin, Maxim Henry, Bernard Ghanem, and Marc Van Droogenbroeck. Online Distillation with Continual Learning for Cyclic Domain Shifts. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Workshop on Continual Learning in Computer Vision, Vancouver, Canada, pages 2437-2446, June 2023. Keyword(s): Online distillation, Continual learning, Autonomous cars. [bibtex-entry]



7. Hassan Mkhallati, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Caption: Dense Video Captioning for Soccer Broadcasts Commentaries. In IEEE/CVF International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Vancouver, Canada, pages 5074-5085, June 2023. Keyword(s): Soccer, Video captioning. [bibtex-entry]



8. Sébastien Piérard, Anthony Cioppa, Anaïs Halin, Renaud Vandeghen, Maxime Zanella, Benoît Macq, Saïd Mahmoudi, and Marc Van Droogenbroeck. Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance. In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Waikoloa, Hawaii, USA, pages 22-31, January 2023. Keyword(s): Domain adaptation, Articial intelligence, Semantic segmentation, Autonomous cars, ARIAC. [bibtex-entry]



9. Renaud Vandeghen, Gilles Louppe, and Marc Van Droogenbroeck. Adaptive Self-Training for Object Detection. In IEEE/CVF International Conference on Computer Vision Workshops (ICCV Workshops), Paris, France, pages 914-923, October 2023. Keyword(s): Deep learning, Machine learning, Self-training, Object detection, Semi-supervision, Supervision, Refinement, ASTOD, COCO dataset, DIOR dataset. [bibtex-entry]

1. Anaïs Halin, Benoît Gérin, Anthony Cioppa, Maxim Henry, Bernard Ghanem, Benoît Macq, Christophe De Vleeschouwer, and Marc Van Droogenbroeck. Driving Agents in Dynamic Environments DADE dataset, 2023. Keyword(s): Dataset, Driving, Learning. [bibtex-entry]



2. Sébastien Piérard, Anthony Cioppa, Anaïs Halin, Renaud Vandeghen, Maxime Zanella, Benoît Macq, Saïd Mahmoudi, and Marc Van Droogenbroeck. Pushing AI out of the lab with on-the-fly mixture domain adaptation. The European AI week, March 2023. Keyword(s): Domain adaptation, Articial intelligence, Semantic segmentation, Autonomous cars, ARIAC. [bibtex-entry]

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