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)

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 (MFI, 2010)

STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences. - Antônio Wilson Vieira; Erickson R. Nascimento; Gabriel L. Oliveira; Zicheng Liu 001; Mario Fernando Montenegro Campos (CIARP, 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 (ICRA, 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 (IROS, 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 (SIBGRAPI, 2012)

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)

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 001; Mario Fernando Montenegro Campos (Pattern Recognit. Lett., 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)

Deep learning for human part discovery in images. - Gabriel L. Oliveira; Abhinav Valada; Claas Bollen; Wolfram Burgard; Thomas Brox (ICRA, 2016)

Efficient deep models for monocular road segmentation. - Gabriel L. Oliveira; Wolfram Burgard; Thomas Brox (IROS, 2016)

Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion. - Abhinav Valada; Gabriel L. Oliveira; Thomas Brox; Wolfram Burgard (ISER, 2016)

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection. - Mohammadreza Zolfaghari; Gabriel L. Oliveira; Nima Sedaghat; Thomas Brox (ICCV, 2017)

Semantics-aware visual localization under challenging perceptual conditions. - Tayyab Naseer; Gabriel L. Oliveira; Thomas Brox; Wolfram Burgard (ICRA, 2017)

Deep semantic classification for 3D LiDAR data. - Ayush Dewan; Gabriel L. Oliveira; Wolfram Burgard (IROS, 2017)

Perspectives on Deep Multimodel Robot Learning. - Wolfram Burgard; Abhinav Valada; Noha Radwan; Tayyab Naseer; Jingwei Zhang 001; Johan Vertens; Oier Mees; Andreas Eitel; Gabriel L. Oliveira (ISRR, 2017)

Topometric Localization with Deep Learning. - Gabriel L. Oliveira; Noha Radwan; Wolfram Burgard; Thomas Brox (ISRR, 2017)

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders. - Gabriel L. Oliveira; Wolfram Burgard; Thomas Brox (ICRA, 2018)

Efficient and robust deep networks for semantic segmentation. - Gabriel L. Oliveira; Claas Bollen; Wolfram Burgard; Thomas Brox (Int. J. Robotics Res., 2018)

Encoder-decoder methods for semantic segmentation: efficiency and robustness aspects. - Gabriel Leivas Oliveira (2019)

Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation. - Gabriel L. Oliveira; Senthil Kumar Yogamani; Wolfram Burgard; Thomas Brox (CoRR, 2020)

Gumbel-Softmax Selective Networks. - Mahmoud Salem; Mohamed Osama Ahmed; Frederick Tung; Gabriel L. Oliveira (CoRR, 2022)

Heterogeneous Multi-Task Learning With Expert Diversity. - Raquel Aoki; Frederick Tung; Gabriel L. Oliveira (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning. - Elahe Rahimian; Golara Javadi; Frederick Tung; Gabriel Leivas Oliveira (CVPR Workshops, 2023)

Meta Temporal Point Processes. - Wonho Bae; Mohamed Osama Ahmed; Frederick Tung; Gabriel L. Oliveira (ICLR, 2023)

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. - Ankit Vani; Frederick Tung; Gabriel L. Oliveira; Hossein Sharifi-Noghabi (ICML, 2024)

AdaFlood: Adaptive Flood Regularization. - Wonho Bae; Yi Ren; Mohamed Osama Ahmed; Frederick Tung; Danica J. Sutherland; Gabriel L. Oliveira (Trans. Mach. Learn. Res., 2024)

Uncertainty Herding: One Active Learning Method for All Label Budgets. - Wonho Bae; Danica J. Sutherland; Gabriel L. Oliveira (ICLR, 2025)

LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling. - Can Chen; Gabriel L. Oliveira; Hossein Sharifi-Noghabi; Tristan Sylvain (Trans. Mach. Learn. Res., 2025)

Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting. - Heitor R. Medeiros; Hossein Sharifi-Noghabi; Gabriel L. Oliveira; Saghar Irandoust (CoRR, 2025)