2 code implementations • 14 Mar 2022 • Shaokai Ye, Anastasiia Filippova, Jessy Lauer, Steffen Schneider, Maxime Vidal, Tian Qiu, Alexander Mathis, Mackenzie Weygandt Mathis
We illustrate the utility of our models in behavioral classification in mice and gait analysis in horses.
Ranked #1 on Animal Pose Estimation on Animal-Pose Dataset (using extra training data)
2 code implementations • 22 Mar 2021 • Lucas Stoffl, Maxime Vidal, Alexander Mathis
Inspired by recent work on end-to-end trainable object detection with transformers, we use a transformer encoder-decoder architecture together with a bipartite matching scheme to directly regress the pose of all individuals in a given image.
no code implementations • 28 Feb 2021 • Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis
Identifying individual animals is crucial for many biological investigations.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Martin d'Hoffschmidt, Wacim Belblidia, Tom Brendlé, Quentin Heinrich, Maxime Vidal
FQuAD is a French Native Reading Comprehension dataset of questions and answers on a set of Wikipedia articles that consists of 25, 000+ samples for the 1. 0 version and 60, 000+ samples for the 1. 1 version.
Ranked #1 on Question Answering on FQuAD