Guénolé Fiche

I am a PhD candidate in the AIMAC team at CentraleSupélec, under the supervision of Renaud Séguier and Simon Leglaive. My research focuses on Computer Vision and Deep Learning. In particular, I work on 3D human pose and shape estimation from images and videos, with a focus on weakly-supervised methods (generative models, self-supervised learning).

Prior to that, I was a student at INSA Rouen Normandie, where I graduated in Mathematical and software engineering.

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We introduce a motion prior to capture the short-term dependencies of human motion and an unsupervised learned denoising method unifying regression- and optimization-based approaches in a single framework for real-time 3D human pose estimation.

We introduce SwimXYZ, a synthetic dataset of swimming motions and videos. SwimXYZ contains 3.4 million frames annotated with ground truth 2D and 3D joints, as well as 240 sequences of swimming motions in the SMPL parameters format.

Website source code borrowed from Jon Barron's public academic website.