1. Sébastien Piérard, Marc Braham, and Marc Van Droogenbroeck. An exploration of the performances achievable by combining unsupervised background subtraction algorithms. ArXiv, abs/2202.12563, February 2022. Keyword(s): Background subtraction, Combination, Majority vote, BKS, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, ARIAC. [bibtex-entry]



2. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. Boosting Shape Classifiers Accuracy by Considering the Inverse Shape. Journal of Pattern Recognition Research, 11(1):41-54, 2016. Keyword(s): Shape descriptor, Inverse shape, Object classification, Cover by rectangles, Zernike moments. [bibtex-entry]



3. Olivier Barnich, Sébastien Jodogne, and Marc Van Droogenbroeck. Robust analysis of silhouettes by morphological size distributions, volume 4179 of Lecture Notes on Computer Science, pages 734-745. Springer Verlag, 2006. Keyword(s): Detection, Classification, Silhouette, Shape, Tracking, Human. [bibtex-entry]

1. Raphaël La Rocca, Anthony Cioppa, Marc Van Droogenbroeck, Gauthier Eppe, and Loïc Quinton. Relational Graph Convolutional Network for Robust Mass Spectrum Classification. In International Mass Spectrometry Conference (IMSC), Maastricht, the Netherlands, August-September 2022. Keyword(s): Mass Spectrometry, Learning, Classification, Graph, Graph convolutional Network. [bibtex-entry]



2. 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]



3. 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]



4. Sébastien Piérard and Marc Van Droogenbroeck. Summarizing the performances of a background subtraction algorithm measured on several videos. In IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, pages 3234-3238, October 2020. Keyword(s): Background subtraction, Evaluation, Performance, Summarization, Change detection, Classification performance, CDNet 2014, DeepSport. [bibtex-entry]



5. Adrien Deliège, Anthony Cioppa, and Marc Van Droogenbroeck. An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations. In AAAI Conference on Artificial Intelligence, Workshop on Network Interpretability for Deep Learning, Honolulu, Hawaii, USA, pages 1-8, January 2019. Keyword(s): Deep learning, Machine learning, Artificial intelligence, Neural network, Classification, Capsule, HitNet, Hit-or-miss layer, Feature interpretation, Centripetal loss, Prototype, DeepSport. [bibtex-entry]



6. Marc Braham, Sébastien Piérard, and Marc Van Droogenbroeck. Semantic Background Subtraction. In IEEE International Conference on Image Processing, Beijing, China, pages 4552-4556, September 2017. Keyword(s): Background subtraction, Change detection, Semantic segmentation, Scene labeling, Scene parsing, Classification, Machine learning, Deep learning, CDNet 2014. [bibtex-entry]



7. Julien Osmalskyj, Marc Van Droogenbroeck, and Jean-Jacques Embrechts. Performances of low-level audio classifiers for large-scale music similarity. In International Conference on Systems, Signals and Image Processing (IWSSIP), Dubrovnik, Croatia, May 2014. Keyword(s): Audio features, Classification, Song, Music Information Retrieval, Rejector, Similarity. [bibtex-entry]



8. Julien Osmalskyj, Jean-Jacques Embrechts, Marc Van Droogenbroeck, and Sébastien Piérard. Neural networks for musical chords recognition. In Journées d'informatique musicale, Mons, Belgium, pages 39-46, May 2012. Keyword(s): Chord, Recognition, Neural network, Classification. [bibtex-entry]

1. 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]



2. 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]



3. Marc Van Droogenbroeck, Adrien Deliège, and Anthony Cioppa. Image classification using neural networks. World Intellectual Property Organization, WO 2019/238976, 55 pages, December 2019. Keyword(s): Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport. [bibtex-entry]



4. Marc Van Droogenbroeck, Adrien Deliège, and Anthony Cioppa. Image classification using neural networks. European Patent Office, EP 3 582 142 A1, 32 pages, June 2018. Keyword(s): Patent, Machine learning, Deep learning, Artificial intelligence, HitNet, Capsule, Data augmentation, DeepSport. [bibtex-entry]



5. Sébastien Piérard, Antoine Lejeune, and Marc Van Droogenbroeck. Recognition of emotions in facial images. Internal report, March 2012. Keyword(s): Face, Facial image, Emotion, Classification. [bibtex-entry]



6. Olivier Barnich and Marc Van Droogenbroeck. Classification of scenarios for persons crossing a door frame based on the joint measurements of two radial distance sensors. Final report of a research project, 42 pages, October 2009. Keyword(s): Laser, Range, Classification, Virtual curtain. [bibtex-entry]

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