PhD Thesis
Oliveira, G. L; Encoder-decoder methods for semantic segmentation: efficiency and robustness aspects, July 2019. PDF
Latest:
Rossi, A., Campelo, F., Gabriel L. Oliveira "One Size Does Not Fit All: Curvature-Aware Adaptive Perturbation for SAM", NeurIPS 2026, 18th Annual Workshop on Optimization for Machine Learning, (paper).
Rafael A. Diniz Augusto, Gabriel L. Oliveira, Erickson R. Nascimento "RAIDAL: Redundancy-Aware Information Density Active Learning for CTC-Based Continuous Sign Language Recognition", BMVC 2026, (paper, code,video)
Medeiros, H., Sharifi-Noghabi, H., Oliveira, G., Irandoust S. "Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting", PUT ICML 2025. (paper, code)
Chen, C., Oliveira, G., Sharifi-Noghabi, H., Sylvain T.; ”LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling”, TMLR 2025, (paper)
Wonho Bae, Danica J. Sutherland, Gabriel L. Oliveira, "Uncertainty Herding: One Active Learning Method for All Label Budgets", International Conference on Learning Representations (ICLR), 2025 (paper, code)
Journals
Chen, C., Oliveira, G., Sharifi-Noghabi, H., Sylvain T.; ”LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling”, TMLR 2025, (paper)
Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira, AdaFlood: Adaptive Flood Regularization, TMLR 2024, (paper, code)
Aoki, R., Tung, F., and Oliveira, G.L. "Heterogeneous Multi-task Learning with Expert Diversity." IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022. (paper, slides, code)
Oliveira, G.L.; Claas, B. ;Burgard, W.; Brox, T. Efficient and Robust Deep Networks for Semantic Segmentation. The International Journal of Robotics Research (IJRR), 2017. [Preprint]
Oliveira, G.L.; Nascimento, E.R.; Vieira, A.W.; Campos, M.F.M. Sparse Spatial Coding: A Novel Approach to Visual Recognition. Image Processing, IEEE Transactions on , vol.23, no.6, pp.2719,2731, June 2014. PDF
Nascimento, E.R.; Oliveira, G.L.; Vieira, A.W.; Campos, M.F.M. On the development of a robust, fast and lightweight keypoint descriptor. Neurocomputing, Volume 120, November 2013, Pages 141,155. LINK_PDF
Nascimento, E.R.; Vieira, A.W.; Oliveira, G.L.; Campos, M.F.M. On the improvement of human action recognition from depth map sequences using Space–Time Occupancy Patterns. Pattern Recognition Letters Volume 36, January 2014, Pages 221,227. LINK_PDF
Botelho S.S.C ; Drews P. ; Figueiredo M. ; OLIVEIRA, G. L. ; HAFFELE, C. Appearance-based odometry and mapping with feature descriptors for underwater robots. Journal of the Brazilian Computer Society, v. 15, p. 47-54/13, 2009. Wrong name order, I am the main author . PDF
Conferences
Rossi, A., Campelo, F., Gabriel L. Oliveira "One Size Does Not Fit All: Curvature-Aware Adaptive Perturbation for SAM", NeurIPS 2026, 18th Annual Workshop on Optimization for Machine Learning, (paper).
Rafael A. Diniz Augusto, Gabriel L. Oliveira, Erickson R. Nascimento "RAIDAL: Redundancy-Aware Information Density Active Learning for CTC-Based Continuous Sign Language Recognition", BMVC 2026, (paper, code,video)
Medeiros, H., Sharifi-Noghabi, H., Oliveira, G., Irandoust S. "Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting", 2nd Workshop on Test-Time Adaptation: Putting Updates to the Test! (PUT) ICML 2025. (paper, code)
Wonho Bae, Danica J. Sutherland, Gabriel L. Oliveira, "Uncertainty Herding: One Active Learning Method for All Label Budgets", International Conference on Learning Representations (ICLR), 2025 (paper, code)
Vani, A; Tung, F; Oliveira G; Sharifi H. ”Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics”, International Conference on Machine Learning (ICML) 2024. (paper, code)
Bae, W.; Mohamed Osama Ahmed, Tung, F., Oliveira, G.L. "Meta Temporal Point Processes" International Conference on Learning Representations (ICLR), 2023 (paper, code).
Rahimian, E.; Javadi, G.; Rahimian, E; Tung, F.; Oliveira, G. "DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-task Learning", Efficient Deep Learning for Computer Vision Workshop at CVPR, 2023. (paper, code ).
Salem, M.; Osama, M; Tung, F.; Oliveira, G. "Gumbel-Softmax Selective Networks", in Challenges in Deploying and Monitoring Machine Learning Systems workshop - NeurIPS, 2022. (paper).
Aoki, R.; Tung, F.; Oliveira, G.L.; Heterogeneous Multi-task Learning with Expert Diversity", BIOKDD 2021, Singapore. PDF, Code
Oliveira, G. L. ; Brox, T.; Burgard, W. DPDB-Net: Exploiting Dense Connections for Convolutional Encoders In: 2018 IEEE International Conference on Robotics and Automation, 2018, Brisbane. PDF
Oliveira, G. L. ; Radwan, N.; Brox, T.; Burgard, W. Topometric Localization with Deep Learning In: 2017 The International Symposium on Robotics Research (ISRR), 2017, Puerto Varas. PDF
Zolfaghari, M. ; Oliveira, G. L. ; Sedaghat, N. ; Brox, T. Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection in: IEEE International Conference on Computer Vision (ICCV) 2017, Venice - Italy. PDF - Project
Dewan, A. ; Oliveira, G. L. ; Burgard, W. Deep Semantic Classification for 3D LiDAR Data In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, Vancouver - Canada. PDF
Naseer, T. ; Oliveira, G. L. ; Brox, T.; Burgard, W. Semantics-aware Learning of Stable Image Regions under Challenging Perceptual Conditions In: 2017 IEEE International Conference on Robotics and Automation, 2017, Singapore. PDF
Oliveira, G. L. ; Burgard, W.; Brox, T. Efficient Deep Models for Monocular Road Segmentation In: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, Daejeon - Korea. PDF - Top Results Kitti Road dataset - CODE
Oliveira, G. L. ; Valada, A. ; Claas, B. ; Burgard, W.; Brox, T. Deep Learning for Human Part Discovery in Images In: 2016 IEEE International Conference on Robotics and Automation , 2016, Stockholm - Sweden. PDF
Valada, A. ; Oliveira, G. L. ; Brox, T. ; Burgard, W. Deep Multispectral Semantic Scene Understanding of Forested Environments using Multimodal Fusion In: 2016 International Symposium on Experimental Robotics , 2016, Tokyo - Japan. PDF
Valada, A. ; Oliveira, G. L. ; Brox, T. ; Burgard, W. Towards robust semantic segmentation using deep fusion, Robotics: Science and systems (RSS 2016) workshop, are the sceptics right? Limits and potentials of deep learning in robotics, PDF
OLIVEIRA, G. L. ; Nascimento, E. ; VIEIRA, A. W. ; Campos, M. . Sparse Spatial Coding: A Novel Approach for Efficient and Accurate Object Recognition In: 2012 IEEE International Conference on Robotics and Automation , 2012, St. Paul - Minnesota - USA. PDF 80% accuracy on Caltech 101 with Online linear Larank
Vieira, A.; Nascimento, E.; Oliveira, G. L. ; Liu, Z; Campos, M. Stop: Space-time occupancy patterns for 3d action recognition from depth map sequences, CIARP 2012, PDF
OLIVEIRA, G. L. ; Nascimento, E. ; Campos, M. Visual odometry with omnidirectional images In: Simposio Brasileiro de Automacao Inteligente (SBAI), 2011, Sao Joao del-Rei - MG. Anais Simposio Brasileiro de Automacao Inteligente, 2011. PDF
Nascimento, E. ; OLIVEIRA, G. L. ; VIEIRA, A. W. ; Campos, M. . Improving Object Detection and Recognition for Semantic Mapping with an Extended Intensity and Shape based Descriptor. In: IROS 2011 workshop - Active Semantic Perception and Object Search in the Real World (ASP-AVS-11), 2011, San Francisco. Proc. IROS Workshop ASP-AVS-11, 2011.
OLIVEIRA, G. L. ; HAFFELE, C. ; Figueiredo M. ; Drews P. ; Botelho S.S.C Sensor Fusion based on Multi-Self-Organizing Maps for SLAM. In: IEEE International Conference on Multisensor Fusion and Integration, 2010, Salt Lake. Proceedings of the 2010 IEEE International Conference on Multisensor Fusion and Integration, 2010. p. 139-143. PDF
OLIVEIRA, G. L. ; Botelho S.S.C ; Drews P. ; Figueiredo M. ; HAFFELE, C. Visual Odometry and Mapping for Underwater Autonoumous Vehicles. In: LARS-6th Latin American Robotics Symposium, 2009, Valparaiso. Visual Odometry and Mapping for Underwater Autonoumous Vehicles, 2009. PDF
Botelho S.S.C ; OLIVEIRA, G. L. ; Estrada, E . TATUBOT Robotic System for Inspection of Undergrounded Cable System. In: IEEE Latin American Robotic Symposium, 2008, Salvador. IEEE Latin American Robotic Symposium, 2008. p. 170-175. PDF