PhD Thesis
Oliveira, G. L; Encoder-decoder methods for semantic segmentation: efficiency and robustness aspects, July 2019. PDF
Latest:
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)
Wonho Bae, Yi Ren, Mohamed Osama Ahmed, Frederick Tung, Danica J. Sutherland, Gabriel L. Oliveira, AdaFlood: Adaptive Flood Regularization, TMLR 2024, (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)
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
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