Gabriel L. Oliveira

According to our database, Gabriel L. Oliveira authored at least 26 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

AdaFlood: Adaptive Flood Regularization.

Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira

CoRR, 2023

Meta Temporal Point Processes.

Wonho Bae, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira

Proceedings of the Eleventh International Conference on Learning Representations, 2023

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning.

Elahe Rahimian, Golara Javadi, Frederick Tung, Gabriel Leivas Oliveira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Heterogeneous Multi-Task Learning With Expert Diversity.

Raquel Aoki, Frederick Tung, Gabriel L. Oliveira

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Gumbel-Softmax Selective Networks.

Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung, Gabriel L. Oliveira

CoRR, 2022

2020

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

Gabriel L. Oliveira, Senthil Kumar Yogamani, Wolfram Burgard, Thomas Brox

CoRR, 2020

2019

Encoder-decoder methods for semantic segmentation: efficiency and robustness aspects.

Gabriel Leivas Oliveira

PhD thesis, 2019

2018

Efficient and robust deep networks for semantic segmentation.

Gabriel L. Oliveira, Claas Bollen, Wolfram Burgard, Thomas Brox

Int. J. Robotics Res., 2018

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders.

Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Topometric Localization with Deep Learning.

Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard, Thomas Brox

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Perspectives on Deep Multimodel Robot Learning.

Wolfram Burgard, Abhinav Valada, Noha Radwan, Tayyab Naseer, Jingwei Zhang, Johan Vertens, Oier Mees, Andreas Eitel, Gabriel L. Oliveira

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Deep semantic classification for 3D LiDAR data.

Ayush Dewan, Gabriel L. Oliveira, Wolfram Burgard

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Semantics-aware visual localization under challenging perceptual conditions.

Tayyab Naseer, Gabriel L. Oliveira, Thomas Brox, Wolfram Burgard

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.

Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion.

Abhinav Valada, Gabriel L. Oliveira, Thomas Brox, Wolfram Burgard

Proceedings of the International Symposium on Experimental Robotics, 2016

Efficient deep models for monocular road segmentation.

Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Deep learning for human part discovery in images.

Gabriel L. Oliveira, Abhinav Valada, Claas Bollen, Wolfram Burgard, Thomas Brox

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2014

Sparse Spatial Coding: A Novel Approach to Visual Recognition.

Gabriel Leivas Oliveira, Erickson R. Nascimento, Antônio Wilson Vieira, Mario Fernando Montenegro Campos

IEEE Trans. Image Process., 2014

On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns.

Antônio Wilson Vieira, Erickson R. Nascimento, Gabriel L. Oliveira, Zicheng Liu, Mario Fernando Montenegro Campos

Pattern Recognit. Lett., 2014

2013

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

Erickson Rangel do Nascimento, Gabriel L. Oliveira, Antônio Wilson Vieira, Mario Fernando Montenegro Campos

Neurocomputing, 2013

2012

Appearance and Geometry Fusion for Enhanced Dense 3D Alignment.

Erickson R. Nascimento, William Robson Schwartz, Gabriel L. Oliveira, Antônio Wilson Vieira, Mario Fernando Montenegro Campos, Daniel Balbino de Mesquita

Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012

BRAND: A robust appearance and depth descriptor for RGB-D images.

Erickson R. Nascimento, Gabriel L. Oliveira, Mario Fernando Montenegro Campos, Antônio Wilson Vieira, William Robson Schwartz

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.

Gabriel L. Oliveira, Erickson R. Nascimento, Antônio Wilson Vieira, Mario Fernando Montenegro Campos

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences.

Antônio Wilson Vieira, Erickson R. Nascimento, Gabriel L. Oliveira, Zicheng Liu, Mario Fernando Montenegro Campos

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.

Gabriel Leivas Oliveira, Silvia S. C. Botelho, Paulo Drews Jr., Mônica da Silva Figueiredo, Celina Häffele

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.

Silvia Silva da Costa Botelho, Paulo Lilles Jorge Drews Junior, Mônica da Silva Figueiredo, Celina Häffele Da Rocha, Gabriel Leivas Oliveira

J. Braz. Comput. Soc., 2009