1. Adrien Deliège, Anthony Cioppa, and Marc Van Droogenbroeck. HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules. ArXiv, abs/1806.06519, June 2018. Keyword(s): Neural network, Deep learning, Machine learning, Artificial intelligence, Hit-or-Miss layer, Capsule, Ghost capsule, NMISTi, DeepSport. [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. 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]



5. Adrien Deliège, A. Kumar, Maxime Istasse, Christophe De Vlesschouwer, and Marc Van Droogenbroeck. Ordinal Pooling. In British Machine Vision Conference (BMVC), Cardiff, Wales, pages 1-12, September 2019. Keyword(s): Deep learning, Machine learning, Pooling, Artificial intelligence, Neural network, Convolutional layer, CNN, DeepSport. [bibtex-entry]



6. Marc Braham and Marc Van Droogenbroeck. Deep Background Subtraction with Scene-Specific Convolutional Neural Networks. In International Conference on Systems, Signals and Image Processing (IWSSIP), Bratislava, Slovakia, pages 1-4, May 2016. Keyword(s): Background subtraction, Deep learning, Machine learning, CDNet, Change detection, CDNet 2014. [bibtex-entry]



7. 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]



8. Julien De Praetere, Philippe Maricau, and Marc Van Droogenbroeck. Data networks integration. In 37th European Telecommunications Congress. FITCE'98. Diverging roles in a converging marketplace, volume 17, London, pages 128-131, August 1998. British Telecommunications Engineering. Keyword(s): Telecommunications, Network. [bibtex-entry]

1. 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]



2. 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]

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.