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Renato Martins
I am an Associate Professor (Maître de Conférences) in the Université de Bourgogne, Le Creusot/France, working in the "Vision for Robotics" - VIBOT team of the "Artifical Imagery and Vision" - ImViA Lab.
Previously, I did my PhD at INRIA Sophia Antipolis/France and at Ecole des Mines de Paris / Université Paris Sciences et Lettres, where I was advised by Dr. Patrick Rives. Then, I was a post-doctoral researcher in the CNRS I3S laboratory, in the ACENTAURI / CHORALE group at INRIA and with the VeRLab laboratory at Universidade Federal de Minas Gerais/Brazil, with whom I maintain tight research collaborations.
My research interests lie in Computer Vision, Machine Learning and Robot Vision, 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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- [NEW] 02.08.2022: RAL paper accepted: "Calibration for polarimetric cameras" [arXiv]
- [NEW] 05.03.2022: Our paper on "Learning Geodesic-Aware Local Features from RGB-D Images" is accepted in the journal CVIU [arXiv]
- [NEW] 02.01.2022: WACV 2022 paper accepted: "Creating and Reenacting Controllable 3D Humans with Differentiable Rendering" [arXiv]
- 12.11.2021: Outstanding Reviewer of 3DV 2021
- 23.10.2021: Co-advisor of the best Brazilian M.Sc. Thesis on Computer Vision and Image Processing at SIBGRAPI 2021. Congrats Joao Ferreira!
- 28.09.2021: NeurIPS 2021 paper accepted: "Extracting Deformation-Aware Local Features by Learning to Deform" [arXiv]
- 01.09.2021: I joined as Associate Professor (Maître de Conférences) the VIsion for RoBOTics - VIBOT / ImViA Lab at the Université de Bourgogne
Community Service & Reviewing Activities
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- AAAI 2023, WACV 2023, ICRA 2023
- IJCV 2022, ECCV 2022, AAAI 2022, WACV 2022, ICRA 2022, ITSC 2022, IROS 2022, RAL 2022, Trans. Image Processing 2022, Trans. Robotics 2022, Trans. Industrial Informatics 2022, Multimedia Systems 2022, Trans. Multimedia Computing 2022
- 3DV 2021, JVCI 2021, IV 2021, RAL 2021, ICRA 2021, ITSC 2021, JINT 2021, IROS 2021
- ISPRS JPRS 2020, JVCI 2020, JINT 2020, RAL 2020, ICRA 2020, WACV 2020, IV 2020, ITSC 2020
- JVCI 2019, RAL 2019, ICRA 2019, JCAE 2019, IV 2019, ITSC 2019, ICAR 2019
- ISPRS JPRS 2018, IROS 2018, RAL 2018, IV 2018, JVCI 2018, ICCV 2017, ICRA 2017, RAL 2017, ICINCO 2017, IROS 2017
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A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras
Joaquin Rodriguez, Lew Lew-Yan-Voon, Renato Martins, and Olivier Morel
Robotics and Automation Letters (RAL), 2022
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This paper proposes a calibration strategy to estimate the parameters of a polarization camera and lens, i.e., to construct the super-pixel matrix with the four filters' orientations with minimal controlled conditions. The calibration only requires few samples of a uniform and linearly polarized light.
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Learning Geodesic-Aware Local Features from RGB-D Images
Guilherme Potje, Renato Martins, Felipe Cadar, and Erickson R. Nascimento
Computer Vision and Image Understanding (CVIU), 2022
arXiv /
project webpage /
bibtex /
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In this paper, we present two complementary local descriptors strategies to compute geodesic-aware features efficiently: one efficient binary descriptor based on handcrafted binary tests (named GeoBit), and one learning-based descriptor (GeoPatch) with a convolutional neural networks (CNNs) to extract visual features.
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