Renato Martins

Orcid: 0000-0003-0053-0004

According to our database1, Renato Martins authored at least 23 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Improving the matching of deformable objects by learning to detect keypoints.
Pattern Recognit. Lett., November, 2023

Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization.
J. Electronic Imaging, 2023

Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field Images.
CoRR, 2023

Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras.
IEEE Robotics Autom. Lett., 2022

Learning geodesic-aware local features from RGB-D images.
Comput. Vis. Image Underst., 2022

Creating and Reenacting Controllable 3D Humans with Differentiable Rendering.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

2021
A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos.
Int. J. Comput. Vis., 2021

On Development and Evaluation of Retargeting Human Motion and Appearance in Monocular Videos.
CoRR, 2021

Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio.
Comput. Graph., 2021

Extracting Deformation-Aware Local Features by Learning to Deform.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues.
J. Intell. Robotic Syst., 2020

Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Semantic Map Augmentation for Robot Navigation: A Learning Approach Based on Visual and Depth Data.
Proceedings of the Latin American Robotic Symposium, 2018

A New Metric for Evaluating Semantic Segmentation: Leveraging Global and Contour Accuracy.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

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).
PhD thesis, 2017

An efficient rotation and translation decoupled initialization from large field of view depth images.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
Increasing the convergence domain of RGB-D direct registration methods for vision-based localization in large scale environments.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Adaptive Direct RGB-D Registration and Mapping for Large Motions.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Dense accurate urban mapping from spherical RGB-D images.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

A compact spherical RGBD keyframe-based representation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015


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