09/2018 - 09/2019 (Double diploma) : Cranfield University, Computer and Machine Vision option - MSc in Computational and Software Techniques in Engineering
09/2016 – 09/2019: Ecole des Mines de Nancy, one of the best French graduate school of engineering, Major in Computer Science and IT, major courses this year: Software Engineering, Operating Systems and C++ programming
09/2014 – 07/2016: Cycle Préparatoire Polytechnique in Nancy, France, a two-year undergraduate program that prepares for French most prestigious schools of Engineering
11/2019 - Present : PhD student with the MORPHEO team at the INRIA grenoble Alpes. My research during the PhD is oriented towards representation and synthesis of 3D humans using data-driven models.
06/2018 - 08/2018 : Internship with the MFX team at the LORIA. During this internship, I was tasked to experiment using Gabor Noise to automatically generate the printing path for 3D printer printing heads.
English language : C1 level (IELTS exam 2019)
German language : B2 level (Goethe exam 2019)
Coding languages : Python, C++, working knowledge with Javascript
Marsot, Mathieu and Mei, Jiangqiang and Shan, Xiaocai and Ye, Liyong and Feng, Peng and Yan, Xuejun and Li, Chenfan and Zhao, Yifan "An adaptive pig face recognition approach using Convolutional Neural Networks." Computers and Electronics in Agriculture. 1(1).
Marsot, Mathieu and Wuhrer, Stefanie and Franco, Jean-Sébastien and Durocher, Stephane. (2022). "A Structured Latent Space for Human Body Motion Generation." 2022 International Conference on 3D Vision (3DV). 1(1).
Marsot, Mathieu and Wuhrer, Stefanie and Franco, Jean-Sebastien and Olivier, Anne Hélène. (2022). "Representing motion as a sequence of latent primitives, a flexible approach for human motion modelling Number 2." HAL. 1(2).
Marsot, Mathieu and Rekik, Rim and Wuhrer, Stefanie and Franco, Jean-Sébastien and Olivier, Anne-Hélène. (2023). "Correspondence-free online human motion retargeting." HAL. 1(3).