A compact spherical RGBD keyframe-based representation. - Tawsif Gokhool; Renato Martins; Patrick Rives; Noela Despré (ICRA, 2015)

Dense accurate urban mapping from spherical RGB-D images. - Renato Martins; Eduardo Fernández-Moral; Patrick Rives (IROS, 2015)

Adaptive Direct RGB-D Registration and Mapping for Large Motions. - Renato Martins; Eduardo Fernández-Moral; Patrick Rives (ACCV (4), 2016)

Increasing the convergence domain of RGB-D direct registration methods for vision-based localization in large scale environments. - Renato Martins; Patrick Rives (ITSC, 2016)

An efficient rotation and translation decoupled initialization from large field of view depth images. - Renato Martins; Eduardo Fernández-Moral; Patrick Rives (IROS, 2017)

Odométrie visuelle directe et cartographie dense de grands environnements à base d'images panoramiques RGB-D. (Direct visual odometry and dense large-scale environment mapping from panoramic RGB-D images). - Renato Martins (2017)

A New Metric for Evaluating Semantic Segmentation: Leveraging Global and Contour Accuracy. - Eduardo Fernández-Moral; Renato Martins; Denis F. Wolf; Patrick Rives (Intelligent Vehicles Symposium, 2018)

Semantic Map Augmentation for Robot Navigation: A Learning Approach Based on Visual and Depth Data. - Dhiego Bersan; Renato Martins; Mario Fernando Montenegro Campos; Erickson R. Nascimento (LARS/SBR/WRE, 2018)

GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. - Erickson Rangel do Nascimento; Guilherme A. Potje; Renato Martins; Felipe C. Chamone; Mario F. M. Campos; Ruzena Bajcsy (ICCV, 2019)

Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints. - Thiago L. Gomes; Renato Martins; João P. K. Ferreira; Erickson R. Nascimento (WACV, 2020)

Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues. - Renato Martins; Dhiego Bersan; Mario F. M. Campos; Erickson R. Nascimento (J. Intell. Robotic Syst., 2020)

Extracting Deformation-Aware Local Features by Learning to Deform. - Guilherme A. Potje; Renato Martins; Felipe C. Chamone; Erickson R. Nascimento (NeurIPS, 2021)

Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio. - João Pedro Moreira Ferreira; Thiago M. Coutinho; Thiago L. Gomes; José F. Neto; Rafael Azevedo; Renato Martins; Erickson R. Nascimento (Comput. Graph., 2021)

On Development and Evaluation of Retargeting Human Motion and Appearance in Monocular Videos. - Thiago L. Gomes; Renato Martins; João Pedro Moreira Ferreira; Rafael Azevedo; Guilherme Torres; Erickson R. Nascimento (CoRR, 2021)

A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos. - Thiago L. Gomes; Renato Martins; João Pedro Moreira Ferreira; Rafael Azevedo; Guilherme Torres; Erickson R. Nascimento (Int. J. Comput. Vis., 2021)

Leveraging Semantic Cues from Foundation Vision Models for Enhanced Local Feature Correspondence. - Felipe Cadar; Guilherme A. Potje; Renato Martins; Cédric Demonceaux; Erickson R. Nascimento (ACCV (4), 2022)

Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. - Welerson Melo; Guilherme A. Potje; Felipe Cadar; Renato Martins; Erickson R. Nascimento (SIBGRAPI, 2022)

Creating and Reenacting Controllable 3D Humans with Differentiable Rendering. - Thiago L. Gomes; Thiago M. Coutinho; Rafael Azevedo; Renato Martins; Erickson R. Nascimento (WACV, 2022)

Learning geodesic-aware local features from RGB-D images. - Guilherme A. Potje; Renato Martins; Felipe Cadar; Erickson R. Nascimento (Comput. Vis. Image Underst., 2022)

A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras. - Joaquin Rodriguez; Lew Fock Chong Lew Yan Voon; Renato Martins; Olivier Morel (IEEE Robotics Autom. Lett., 2022)

Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2023)

Improving the matching of deformable objects by learning to detect keypoints. - Felipe Cadar; Welerson Melo; Vaishnavi Kanagasabapathi; Guilherme A. Potje; Renato Martins; Erickson R. Nascimento (Pattern Recognit. Lett., 2023)

Data-Driven Nonlinear System Identification of a Throttle Valve Using Koopman Representation. - Nicolas Bongiovanni; Bojan Mavkov; Renato Martins; Guillaume Allibert (ACC, 2024)

XFeat: Accelerated Features for Lightweight Image Matching. - Guilherme A. Potje; Felipe Cadar; André Araújo 001; Renato Martins; Erickson R. Nascimento (CVPR, 2024)

Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images. - Hermes McGriff; Renato Martins; Nicolas Andreff; Cédric Demonceaux (WACV, 2024)

Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization. - Joaquin Rodriguez; Lew Fock Chong Lew Yan Voon; Renato Martins; Olivier Morel (Adv. Math. Commun., 2024)

Dense Scene Reconstruction from Light-Field Images Affected by Rolling Shutter. - Hermes McGriff; Renato Martins; Nicolas Andreff; Cédric Demonceaux (WACV, 2025)