Search Results for author: Maxime Istasse

Found 5 papers, 4 papers with code

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations

4 code implementations17 Aug 2022 Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse, Carlo Del Don, Davide Zambrano

With the recent development of Deep Learning applied to Computer Vision, sport video understanding has gained a lot of attention, providing much richer information for both sport consumers and leagues.

Camera Calibration Instance Segmentation +3

DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes

1 code implementation1 Dec 2021 Seyed Abolfazl Ghasemzadeh, Gabriel Van Zandycke, Maxime Istasse, Niels Sayez, Amirafshar Moshtaghpour, Christophe De Vleeschouwer

In addition to the increased complexity resulting from the multiplication of single-task models, the use of the off-the-shelf models also impedes the performance due to the complexity and specificity of the team sports scenes, such as strong occlusion and motion blur.

Instance Segmentation Pose Estimation +3

Ordinal Pooling

1 code implementation3 Sep 2021 Adrien Deliège, Maxime Istasse, Ashwani Kumar, Christophe De Vleeschouwer, Marc Van Droogenbroeck

More importantly, they also demonstrate that ordinal pooling leads to consistent improvements in the accuracy over average- or max-pooling operations while speeding up the training and alleviating the issue of the choice of the pooling operations and activation functions to be used in the networks.

Associative Embedding for Game-Agnostic Team Discrimination

no code implementations1 Jul 2019 Maxime Istasse, Julien Moreau, Christophe De Vleeschouwer

Assigning team labels to players in a sport game is not a trivial task when no prior is known about the visual appearance of each team.

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