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  Baptiste Chopin, Mohamed Daoudi, Angela Bartolo. Avatar Reaction to Multimodal Human Behavior. ICIAP 2023- 22nd International Conference on Image Analysis and Processing, Sep 2023, Udine, Italy. pp.494--505. ⟨hal-04474370⟩
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  Amor Ben Tanfous. Sparse Representations in the Shape Manifold for Human Trajectories Classification and Generation. Computer Science [cs]. Lille University, 2019. English. ⟨NNT : ⟩. ⟨tel-04405993⟩
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  Kevin Feghoul, Deise Santana, Mohamed Daoudi, Ali Amad. Transformer multimodal pour la détection du stress. COmpression et REprésentation des Signaux Audiovisuels (2023), Centre de Recherche en Informatique, Signal et Automatique de Lille, Jun 2023, Lille, France. ⟨hal-04320496⟩
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  Emery Pierson. 3D and 4D Human body surface comparison and deformation : from geometric invariants to Riemannian shape analysis. Computer Vision and Pattern Recognition [cs.CV]. Université de Lille, 2023. English. ⟨NNT : 2023ULILB005⟩. ⟨tel-04285451⟩
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  Baptiste Chopin, Hao Tang, Mohamed Daoudi. Bipartite Graph Diffusion Model for Human Interaction Generation: The generation of natural human motion interactions is a hot topic in computer vision and computer animation. It is a challenging task due to the diversity of possible human motion interactions. Diffusion models, which have already shown remarkable generative capabilities in other domains, are a good candidate for this task. In this paper, we introduce a novel bipartite graph diffusion method (BiGraphDiff) to generate human motion interactions between two persons. Specifically, bipartite node sets are constructed to model the inherent geometric constraints between skeleton nodes during interactions. The interaction graph diffusion model is transformer-based, combining some state-of-the-art motion methods. We show that the proposed achieves new state-of-the-art results on leading benchmarks for the human interaction generation task. WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, WAIKOLOA (Hawaii), United States. ⟨hal-04274209⟩

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