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DeepMOT: A Differentiable Framework for Training Multiple Object Trackers., , , and . CoRR, (2019)Concept Graph Neural Networks for Surgical Video Understanding., , , , , , and . CoRR, (2022)TransCenter: Transformers with Dense Queries for Multiple-Object Tracking., , , , , and . CoRR, (2021)A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction., , , , , , and . ICRA, page 8992-8998. IEEE, (2022)SUrgical PRediction GAN for Events Anticipation., , , , , , , and . CoRR, (2021)Tracking Multiple Audio Sources with the von Mises Distribution and Variational EM., , , and . CoRR, (2018)Enhancing direct-path relative transfer function using deep neural network for robust sound source localization., , , , and . CAAI Trans. Intell. Technol., 7 (3): 446-454 (2022)Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows., , , , , , , and . ICRA, page 14531-14538. IEEE, (2021)How to Train Your Deep Multi-Object Tracker., , , , , and . CVPR, page 6786-6795. Computer Vision Foundation / IEEE, (2020)Audio-Visual Multiple-Speaker Tracking for Robot Perception. (Suivi multi-locuteurs avec des informations audio-visuelles pour la perception des robots).. Grenoble Alpes University, France, (2019)