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Renato Martins
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2020 – today
- 2024
- [c16]Nicolas Bongiovanni, Bojan Mavkov
, Renato Martins, Guillaume Allibert:
Data-Driven Nonlinear System Identification of a Throttle Valve Using Koopman Representation. ACC 2024: 92-97 - [c15]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
XFeat: Accelerated Features for Lightweight Image Matching. CVPR 2024: 2682-2691 - [c14]Hermes McGriff, Renato Martins, Nicolas Andreff, Cédric Demonceaux:
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images. WACV 2024: 3687-3696 - [i14]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
XFeat: Accelerated Features for Lightweight Image Matching. CoRR abs/2404.19174 (2024) - 2023
- [j7]Joaquin Rodriguez
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization. J. Electronic Imaging 33(1) (2023) - [j6]Felipe Cadar
Improving the matching of deformable objects by learning to detect keypoints. Pattern Recognit. Lett. 175: 83-89 (2023) - [c13]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. CVPR 2023: 1306-1315 - [i13]Guilherme A. Potje, Felipe Cadar, André Araújo, Renato Martins, Erickson R. Nascimento:
Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints. CoRR abs/2304.00583 (2023) - [i12]Felipe Cadar, Welerson Melo, Vaishnavi Kanagasabapathi
Improving the matching of deformable objects by learning to detect keypoints. CoRR abs/2309.00434 (2023) - [i11]Hermes McGriff, Renato Martins, Nicolas Andreff, Cédric Demonceaux:
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images. CoRR abs/2311.01292 (2023) - [i10]Joaquin Rodriguez
Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization. CoRR abs/2312.14697 (2023) - 2022
- [j5]Guilherme A. Potje
Learning geodesic-aware local features from RGB-D images. Comput. Vis. Image Underst. 219: 103409 (2022) - [j4]Joaquin Rodriguez
A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras. IEEE Robotics Autom. Lett. 7(4): 9921-9928 (2022) - [c12]Welerson Melo, Guilherme A. Potje, Felipe Cadar, Renato Martins, Erickson R. Nascimento:
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. SIBGRAPI 2022: 61-66 - [c11]Thiago L. Gomes, Thiago M. Coutinho, Rafael Azevedo, Renato Martins
Creating and Reenacting Controllable 3D Humans with Differentiable Rendering. WACV 2022: 717-726 - [i9]Guilherme A. Potje, Renato Martins, Felipe Cadar, Erickson R. Nascimento:
Learning Geodesic-Aware Local Features from RGB-D Images. CoRR abs/2203.12016 (2022) - [i8]Joaquin Rodriguez
A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras. CoRR abs/2208.13485 (2022) - [i7]Welerson Melo, Guilherme A. Potje, Felipe Cadar, Renato Martins, Erickson R. Nascimento:
Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images. CoRR abs/2212.09589 (2022) - 2021
- [j3]João Pedro Moreira Ferreira
Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio. Comput. Graph. 94: 11-21 (2021) - [j2]Thiago L. Gomes
A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos. Int. J. Comput. Vis. 129(7): 2057-2075 (2021) - [c10]Guilherme A. Potje, Renato Martins, Felipe C. Chamone, Erickson R. Nascimento:
Extracting Deformation-Aware Local Features by Learning to Deform. NeurIPS 2021: 10759-10771 - [i6]Thiago L. Gomes, Renato Martins, João Pedro Moreira Ferreira, Rafael Azevedo, Guilherme Torres, Erickson R. Nascimento:
On Development and Evaluation of Retargeting Human Motion and Appearance in Monocular Videos. CoRR abs/2103.15596 (2021) - [i5]Thiago L. Gomes, Thiago M. Coutinho, Rafael Azevedo, Renato Martins, Erickson R. Nascimento:
Creating and Reenacting Controllable 3D Humans with Differentiable Rendering. CoRR abs/2110.11746 (2021) - [i4]Guilherme A. Potje, Renato Martins, Felipe Cadar, Erickson R. Nascimento:
Extracting Deformation-Aware Local Features by Learning to Deform. CoRR abs/2111.10617 (2021) - 2020
- [j1]Renato Martins
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues. J. Intell. Robotic Syst. 99(3): 555-569 (2020) - [c9]Thiago L. Gomes, Renato Martins
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints. WACV 2020: 3355-3364 - [i3]Thiago L. Gomes, Renato Martins, João P. K. Ferreira, Erickson R. Nascimento:
Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints. CoRR abs/2001.02606 (2020) - [i2]Renato Martins, Dhiego Bersan, Mario F. M. Campos, Erickson R. Nascimento:
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework using Visual and Depth Cues. CoRR abs/2003.06336 (2020) - [i1]João Pedro Moreira Ferreira, Thiago M. Coutinho, Thiago L. Gomes, José F. Neto, Rafael Azevedo, Renato Martins, Erickson R. Nascimento:
Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio. CoRR abs/2011.12999 (2020)
2010 – 2019
- 2019
- [c8]Erickson Rangel do Nascimento
GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images. ICCV 2019: 10003-10011 - 2018
- [c7]Eduardo Fernández-Moral, Renato Martins
A New Metric for Evaluating Semantic Segmentation: Leveraging Global and Contour Accuracy. Intelligent Vehicles Symposium 2018: 1051-1056 - [c6]Dhiego Bersan, Renato Martins
Semantic Map Augmentation for Robot Navigation: A Learning Approach Based on Visual and Depth Data. LARS/SBR/WRE 2018: 45-50 - 2017
- [b1]Renato Martins:
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). Mines ParisTech, France, 2017 - [c5]Renato Martins
An efficient rotation and translation decoupled initialization from large field of view depth images. IROS 2017: 5750-5755 - 2016
- [c4]Renato Martins, Eduardo Fernández-Moral, Patrick Rives:
Adaptive Direct RGB-D Registration and Mapping for Large Motions. ACCV (4) 2016: 191-206 - [c3]Renato Martins, Patrick Rives:
Increasing the convergence domain of RGB-D direct registration methods for vision-based localization in large scale environments. ITSC 2016: 1-6 - 2015
- [c2]Tawsif Gokhool, Renato Martins
A compact spherical RGBD keyframe-based representation. ICRA 2015: 4273-4278 - [c1]Renato Martins
Dense accurate urban mapping from spherical RGB-D images. IROS 2015: 6259-6264
Coauthor Index
aka: Felipe Cadar
aka: Erickson Rangel do Nascimento
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last updated on 2024-10-07 22:08 CEST by the dblp team
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