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cs.CV2026
XmoPipe: A Pipeline for Large-Scale In-the-Wild Human Motion Dataset Construction
Nathan Salazar, Emmanuel Dellandréa, Mathieu Lefort +1
Large-scale human motion datasets are essential for training robust motion models for analysis, synthesis, and understanding. While marker-based motion capture provides precise dat…
cs.CV2021★ 1 cited
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall +2
Traditional deep learning algorithms often fail to generalize when they are tested outside of the domain of the training data. The issue can be mitigated by using unlabeled data fr…