Renato Martins

I'm excited to announce that I will join the VIBOT team and the Université de Bourgogne as an assistant professor (Maître de Conférences) in September 2021.

I am a post-doctoral researcher in the CHORALE / ACENTAURI group at INRIA, Sophia Antipolis/France. My research is carried out in the context of the project MOBIDEEP ("Technology-aided MOBIlity by semantic DEEP learning"). Previously I was with Department of Computer Science of the Universidade Federal de Minas Gerais/Brazil, working in the VeRLab group, with whom I maintain a tight research collaboration.

My research interests lie in Computer Vision, Robot Vision and applied Machine Learning, more specifically in the topics of 3D vision, geometric deep learning, human motion analysis, video prediction, and RGB-D image analysis and processing (perspective, omnidirectional).

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Recent Papers

A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos
Thiago L. Gomes, Renato Martins, Joao Ferreira, Rafael Azevedo, Guilherme Torres, and Erickson R. Nascimento
International Journal of Computer Vision (IJCV), 2021
arXiv / project webpage / bibtex / github code

In this paper, we propose a unifying formulation for transferring appearance and retargeting human motion from monocular videos. Our method is composed of four main components and synthesizes new videos of people in a different context where they were initially recorded. Differently from recent human neural rendering methods, our approach takes into account jointly body shape, appearance and motion constraints in the transfer.

Template of this webpage.