Multi-view Tracking Using Weakly Supervised Human Motion Prediction
M. Engilberge, W. Liu, P. Fua
WACV, 2023
My primary research interests are in the fields of Machine Learning, Computer Vision and Natural Language Processing.
From 2017 to 2020, I did a PhD thesis focused on joint visual and textual learning, specifically on Visual-Semantic Embeddings (VSE).
I was advised by Matthieu Cord, Patrick Pérez and Louis Chevallier.
During this time I worked on multimodal representation learning applied to multiple tasks: cross-modal retrieval, phrase grounding, ranking optimization, known instance search and iterative search.
I am excited about the upcoming research challenges, with a keen interest in exploring self-supervised and reasoning methods to bring multimodal interaction to the next level.
M. Engilberge, W. Liu, P. Fua
WACV, 2023
M. Engilberge, H. Shi, Z. Wang, P. Fua
WACV, 2023
R. Cohendet, C. Demarty, N. Duong, M. Engilberge
ICCV, 2019
M. Engilberge, L. Chevallier, P. Pérez, M. Cord
CVPR, 2019
M. Engilberge, L. Chevallier, P. Pérez, M. Cord
CVPR, 2018