Gabriel L. Oliveira

Orcid: 0000-0003-0099-9873

According to our database1, Gabriel L. Oliveira authored at least 27 papers between 2009 and 2024.

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Bibliography

2024
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
AdaFlood: Adaptive Flood Regularization.
CoRR, 2023

Meta Temporal Point Processes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Heterogeneous Multi-Task Learning With Expert Diversity.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Gumbel-Softmax Selective Networks.
CoRR, 2022

2020
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation.
CoRR, 2020

2019
Encoder-decoder methods for semantic segmentation: efficiency and robustness aspects.
PhD thesis, 2019

2018
Efficient and robust deep networks for semantic segmentation.
Int. J. Robotics Res., 2018

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Topometric Localization with Deep Learning.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Perspectives on Deep Multimodel Robot Learning.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Deep semantic classification for 3D LiDAR data.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Semantics-aware visual localization under challenging perceptual conditions.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion.
Proceedings of the International Symposium on Experimental Robotics, 2016

Efficient deep models for monocular road segmentation.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Deep learning for human part discovery in images.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2014
Sparse Spatial Coding: A Novel Approach to Visual Recognition.
IEEE Trans. Image Process., 2014

On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns.
Pattern Recognit. Lett., 2014

2013
On the development of a robust, fast and lightweight keypoint descriptor.
Neurocomputing, 2013

2012
Appearance and Geometry Fusion for Enhanced Dense 3D Alignment.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012

BRAND: A robust appearance and depth descriptor for RGB-D images.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Sparse Spatial Coding: A novel approach for efficient and accurate object recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2010
Sensor fusion based on multi-self-organizing maps for SLAM.
Proceedings of the 2010 IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, 2010

2009
Appearance-based odometry and mapping with feature descriptors for underwater robots.
J. Braz. Comput. Soc., 2009


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