1. Anthony Cioppa. Real-time semantics in video sequences. PhD thesis, University of Liège, Belgium, December 2020. Keyword(s): Sport, Soccer, Football, Machine learning, Deep learning, Semantics, Video understanding, Real-time, Semantic segmentation, Action spotting, Dataset, Background subtraction, Online distillation, SoccerNet, DeepSport. [bibtex-entry]



2. Benjamin Laugraud. Motion-aware temporal median filtering for robust background estimation. PhD thesis, University of Liège, Belgium, March 2020. Keyword(s): Background estimation, Background initialization, Background generation, Motion detection, Background subtraction, Optical flow, Semantic segmentation, Scene parsing, Median filtering, SBI dataset, SBMnet dataset, LaBGen, LaBGen-P, LaBGen-OF, LaBGen-P-Semantic, Computer vision, Image processing. [bibtex-entry]



3. Julien Osmalskyj. A Combining Approach to Cover Song Identification. PhD thesis, University of Liège, Belgium, June 2017. Keyword(s): Music information retrieval, Cover song identification, MIR, Audio Features, Rank Aggregation, Million Song Dataset, Second Hand Song Dataset, QMax. [bibtex-entry]

1. Giovanny Moncayo-Unda, Marc Van Droogenbroeck, Ismaël Saadi, and Mario Cools. An anonymised longitudinal GPS location dataset to understand changes in activity-travel behaviour between pre- and post-COVID periods. Data in Brief, 45:1-15, November 2022. Keyword(s): Google location history, GPS, Activity point location, Travel, Covid, Timeline tracking, Longitudinal data. [bibtex-entry]



2. Benjamin Laugraud, Sébastien Piérard, and Marc Van Droogenbroeck. LaBGen: A Method Based on Motion Detection for Generating the Background of a Scene. Pattern Recognition Letters, 96:12-21, 2017. Keyword(s): LaBGen, Background initialization, Background generation, Background subtraction, SBMI dataset, SBMC contest. [bibtex-entry]

1. Arnaud Leduc, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Depth: a Scalable Dataset for Monocular Depth Estimation in Sports Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Seattle, Washington, USA, June 2024. Keyword(s): Soccer, SoccerNet, Football, Depth estimation, Volley-ball, Synthetic data, Dataset. [bibtex-entry]



2. 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]



3. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Le Kang, Xin Zhou, Zhiyu Cheng, Bernard Ghanem, and Marc Van Droogenbroeck. SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, New Orleans, Louisiana, USA, pages 3490-3501, June 2022. IEEE. Keyword(s): SoccerNet-v3, Human Tracking, Player Tracking, Soccer, Football, Deep learning, Machine learning, Artificial intelligence, ARIAC. [bibtex-entry]



4. Anthony Cioppa, Adrien Deliège, Floriane Magera, Silvio Giancola, Olivier Barnich, Bernard Ghanem, and Marc Van Droogenbroeck. Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Nashville, Tennessee, USA, pages 4537-4546, June 2021. Keyword(s): Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport. [bibtex-entry]



5. Adrien Deliège, Anthony Cioppa, Silvio Giancola, Meisam J. Seikavandi, Jacob V. Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas B. Moeslund, and Marc Van Droogenbroeck. SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVsports, Nashville, Tennessee, USA, pages 4508-4519, June 2021. Note: Best CVsports paper award. Keyword(s): Calibration, SoccerNet, Dataset, Training data, Soccer, Football, Classification, Annotation, Neural network, Deep learning, Machine learning, Artificial intelligence, DeepSport, Best paper award. [bibtex-entry]



6. Michaël Fonder and Marc Van Droogenbroeck. Mid-Air: A multi-modal dataset for extremely low altitude drone flights. In IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), UAVision, Long Beach, California, USA, pages 553-562, June 2019. Keyword(s): UAV, Dataset, Mid-Air, Positioning, Benchmark, Drone, Artificial Intelligence, Deep learning. [bibtex-entry]



7. Benjamin Laugraud and Marc Van Droogenbroeck. Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen?. In Advanced Concepts for Intelligent Vision Systems (ACIVS), volume 10617 of Lecture Notes in Computer Science, pages 443-454, 2017. Keyword(s): Background generation, Background initialization, Background subtraction, Optical flow, Motion detection, Median filter, SBI dataset, SBMnet dataset, LaBGen, LaBGen-OF. [bibtex-entry]



8. Samir Azrour, Sébastien Piérard, and Marc Van Droogenbroeck. Improving pose estimation by building dedicated datasets and using orientation. In IET Workshop on Human Motion Analysis for Healthcare Applications, London, United Kingdom, May 2016. Keyword(s): Pose estimation, Human, Depth camera, 3D camera, Orientation. [bibtex-entry]



9. Julien Osmalskyj, Sébastien Piérard, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Efficient database pruning for large-scale cover song recognition. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada, May 2013. Keyword(s): Song, Recognition, Million Song Dataset, Music Information Retrieval, Chromas, Rejectors, Cover Songs. [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. Anthony Cioppa, Silvio Giancola, Adrien Deliège, Bernard Ghanem, and Marc Van Droogenbroeck. Goal! A practical guide to soccer video understanding. Norwegian Artificial Intelligence Society Symposium, Tutorial, May 2022. Keyword(s): SoccerNet, Dataset, Challennge, Soccer, Football, Classification, Annotation, Deep learning, Machine learning, Artificial intelligence. [bibtex-entry]



3. Anthony Cioppa, Adrien Deliège, Silvio Giancola, Meisam Seikavandi, Jacob Dueholm, Kamal Nasrollahi, Bernard Ghanem, Thomas Moeslund, and Marc Van Droogenbroeck. SoccerNet challenge: Task presentation and winner announcement. Oral communication, June 2021. Keyword(s): SoccerNet, Dataset, Challennge, Soccer, Football, Classification, Annotation, Deep learning, Machine learning, Artificial intelligence, DeepSport. [bibtex-entry]

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