Arthus: Adaptive real-time human segmentation in sports through online distillation A Cioppa, A Deliege, M Istasse, C De Vleeschouwer, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 51 | 2019 |
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations G Van Zandycke, V Somers, M Istasse, CD Don, D Zambrano Proceedings of the 5th International ACM Workshop on Multimedia Content …, 2022 | 43 | 2022 |
Associative embedding for team discrimination M Istasse, J Moreau, C De Vleeschouwer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 16 | 2019 |
Ordinal Pooling A Deliège, M Istasse, A Kumar, C De Vleeschouwer, ... 30th British Machine Vision Conference, 2020 | 13 | 2020 |
DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes SA Ghasemzadeh, G Van Zandycke, M Istasse, N Sayez, A Moshtaghpour, ... The 32nd British Machine Vision Conference, 2021 | 12 | 2021 |
DeepSportradar-v2: A Multi-Sport Computer Vision Dataset for Sport Understandings M Istasse, V Somers, P Elancheliyan, J De, D Zambrano Proceedings of the 6th International Workshop on Multimedia Content Analysis …, 2023 | 10 | 2023 |
ConfLUNet: Improving Confluent Lesion Identification in Multiple Sclerosis using Instance Segmentation M Wynen, M Istasse, PM Gordaliza, A Stölting, P Maggi, B Macq, ... International Symposium on Biomedical Imaging (ISBI), 2024 | | 2024 |
Instance segmentation with pixelwise convolutional neural network embeddings M Istasse UCL-Université Catholique de Louvain, 2023 | | 2023 |
ModulOM: Disseminating Deep Learning Research with Modular Output Mathematics M Istasse, K Mens, C De Vleeschouwer Beyond static papers: Rethinking how we share scientific understanding in ML …, 2021 | | 2021 |
An Oz implementation using Truffle and Graal M Istasse, P Van Roy, B Daloze, G Maudoux | | |