Object Shape Retrieval through Grasp Exploration. - Diego R. Faria; José Augusto Prado; Paulo Drews Jr.; Jorge Dias 001 (ECMR, 2009)

Data Fusion Calibration for a 3D Laser Range Finder and a Camera using Inertial Data. - Pedro Núñez; Paulo Drews Jr.; Rui P. Rocha; Jorge Dias 001 (ECMR, 2009)

Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics. - Pedro Núñez Trujillo; Paulo Drews Jr.; Rui P. Rocha; Mario Fernando Montenegro Campos; Jorge Dias 001 (IROS, 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)

Crowd behavior analysis under cameras network fusion using probabilistic methods. - Paulo Drews Jr.; João Quintas; Jorge Dias 001; Maria Andersson; Jonas Nygårds; Joakim Rydell (FUSION, 2010)

Probabilistic LMA-based classification of human behaviour understanding using Power Spectrum technique. - Kamrad Khoshhal; Hadi Aliakbarpour; João Quintas; Paulo Drews Jr.; Jorge Dias 001 (FUSION, 2010)

Novelty detection and 3D shape retrieval using superquadrics and multi-scale sampling for autonomous mobile robots. - Paulo Drews Jr.; Pedro Núñez Trujillo; Rui P. Rocha; Mario Fernando Montenegro Campos; Jorge Dias 001 (ICRA, 2010)

Change detection in 3D environments based on Gaussian Mixture Model and robust structural matching for autonomous robotic applications. - Pedro Núñez Trujillo; Paulo Drews Jr.; Antonio Bandera; Rui P. Rocha; Mario Fernando Montenegro Campos; Jorge Dias 001 (IROS, 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 (MFI, 2010)

Efficient change detection in 3D environment for autonomous surveillance robots based on implicit volume. - Antônio Wilson Vieira; Paulo Lilles Jorge Drews Junior; Mario Fernando Montenegro Campos (ICRA, 2012)

A Terrain-Based Path Planning for Mobile Robots with Bounded Curvature. - Paulo L. J. Drews-Jr; Douglas G. Macharet; Mario F. M. Campos (LARS/SBR, 2012)

Spatial and Perceptive Mapping Using Semantically Self-Organizing Maps Applied to Mobile Robots. - Mônica da Silva Figueiredo; Silvia Botelho; Paulo Drews Jr.; Celina Häffele (LARS/SBR, 2012)

Using Space D* for Crowded Real Robots Environments. - Luan Silveira; Renan de Queiroz Maffei; Felipe Almeida; Matheus Longaray; Silvia S. C. Botelho; Paulo L. J. Drews-Jr; Alessandro de Lima Bicho; Nelson L. Duarte Filho (LARS/SBR, 2012)

Self-Organizing Mapping of Robotic Environments Based on Neural Networks. - Mônica da Silva Figueiredo; Silvia Silva da Costa Botelho; Paulo Drews Jr.; Celina Häffele Da Rocha (SBRN, 2012)

Space D* - A path-planning algorithm for multiple robots in unknown environments. - Luan Silveira; Renan de Queiroz Maffei; Silvia Silva da Costa Botelho; Paulo Drews Jr.; Alessandro de Lima Bicho; Nelson Duarte Filho (J. Braz. Comput. Soc., 2012)

Improving change detection using Vertical Surface Normal Histograms and Gaussian Mixture Models in structured environments. - Paulo Drews Jr.; Luis Jesús Manso; Sidnei Carlos da Silva Filho; Pedro Núñez (ICAR, 2013)

3D robotic mapping: A biologic approach. - Luan Silveira; Felipe Guth; Paulo Drews Jr.; Silvia S. C. Botelho (ICAR, 2013)

Transmission Estimation in Underwater Single Images. - Paulo Drews Jr.; Erickson Rangel do Nascimento; F. Moraes; Silvia S. C. Botelho; Mario F. M. Campos (ICCV Workshops, 2013)

Fast and adaptive 3D change detection algorithm for autonomous robots based on Gaussian Mixture Models. - Paulo Drews Jr.; Sidnei Carlos da Silva Filho; L. F. Marcolino; Pedro Núñez Trujillo (ICRA, 2013)

Microalgae classification using semi-supervised and active learning based on Gaussian mixture models. - Paulo Drews Jr.; Rafael G. Colares; Pablo Machado; Matheus de Faria; Amália Detoni; Virgínia Tavano (J. Braz. Comput. Soc., 2013)

Novelty detection and segmentation based on Gaussian mixture models: A case study in 3D robotic laser mapping. - Paulo Drews Jr.; Pedro Núñez; Rui P. Rocha; Mario Fernando Montenegro Campos; Jorge Dias 001 (Robotics Auton. Syst., 2013)

Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach. - Felipe Guth; Luan Silveira; Silvia Silva da Costa Botelho; Paulo Drews Jr.; Pedro L. Ballester (BioRob, 2014)

Generalized Optical Flow Model for Scattering Media. - Paulo Drews Jr.; Erickson R. Nascimento; Arthur Xavier; Mario Fernando Montenegro Campos (ICPR, 2014)

Hybrid Unmanned Aerial Underwater Vehicle: Modeling and simulation. - Paulo Lilles Jorge Drews Junior; Armando Alves Neto; Mario Fernando Montenegro Campos (IROS, 2014)

Spatial Density Patterns for Efficient Change Detection in 3D Environment for Autonomous Surveillance Robots. - Antônio Wilson Vieira; Paulo Lilles Jorge Drews Junior; Mario Fernando Montenegro Campos (IEEE Trans Autom. Sci. Eng., 2014)

Attitude control for an Hybrid Unmanned Aerial Underwater Vehicle: A robust switched strategy with global stability. - Armando Alves Neto; Leonardo A. Mozelli; Paulo Lilles Jorge Drews Junior; Mario Fernando Montenegro Campos (ICRA, 2015)

Automatic restoration of underwater monocular sequences of images. - Paulo Drews Jr.; Erickson R. Nascimento; Mario F. M. Campos; Alberto Elfes (IROS, 2015)

A Topological Descriptor of Acoustic Images for Navigation and Mapping. - Matheus Machado dos Santos; Pedro L. Ballester; Guilherme Brunei Zaffari; Paulo Drews Jr.; Silvia Botelho (LARS/SBR, 2015)

Supervised Microalgae Classification in Imbalanced Dataset. - Iago Lourenço Correa; Paulo Drews Jr.; Marcio Silva de Souza; Virgínia Maria Tavano (BRACIS, 2016)

Using a MRF-BP model with color adaptive training for underwater color restoration. - A.-N. Ponce-Hinestroza; Luz Abril Torres-Méndez; Paulo Drews Jr. (ICPR, 2016)

Real-time monocular obstacle avoidance using Underwater Dark Channel Prior. - Paulo Drews Jr.; Emili Hernández; Alberto Elfes; Erickson R. Nascimento; Mario Fernando Montenegro Campos (IROS, 2016)

Vision-Based Obstacle Avoidance Using Deep Learning. - Joel D. O. Gaya; Lucas Teixeira Goncalves; Amanda Cardoso Duarte; Breno Zanchetta; Paulo Drews Jr.; Silvia S. C. Botelho (LARS/SBR, 2016)

Semantic Mapping on Underwater Environment Using Sonar Data. - Matheus Machado dos Santos; Paulo Drews Jr.; Pedro Núñez; Silvia Botelho (LARS/SBR, 2016)

Effects of Water Currents in a Continuous Attractor Neural Network for SLAM Applications. - Guilherme Brunei Zaffari; Matheus Machado dos Santos; Paulo Lilles Jorge Drews; Silvia S. C. Botelho (LARS/SBR, 2016)

Underwater Depth Estimation and Image Restoration Based on Single Images. - Paulo Drews Jr.; Erickson R. Nascimento; Silvia S. C. Botelho; Mario Fernando Montenegro Campos (IEEE Computer Graphics and Applications, 2016)

Contribuições à restauração automática de imagens de cenas em meio participativo - Paulo Lilles Jorge Drews Junior (2016)

Deep Learning for Microalgae Classification. - Iago Lourenço Correa; Paulo Drews Jr.; Silvia S. C. Botelho; Marcio Silva de Souza; Virgínia Maria Tavano (ICMLA, 2017)

Understading Image Restoration Convolutional Neural Networks with Network Inversion. - Églen Protas; José Douglas Bratti; Joel D. O. Gaya; Paulo Drews Jr.; Silvia S. C. Botelho (ICMLA, 2017)

Forward Looking Sonar Scene Matching Using Deep Learning. - Pedro Otávio Cardozo de Souza Ribeiro; Matheus Machado dos Santos; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (ICMLA, 2017)

Automated seam tracking system based on passive monocular vision for automated linear robotic welding process. - Átila Astor Weis; Jusoan Lang Mor; Luciane B. Soares; Cristiano Rafael Steffens; Paulo Lilles Jorge Drews Junior; Matheus de Faria; Paulo Jefferson Dias de Oliveira Evald; Rodrigo Zelir Azzolin; Nelson Duarte Filho; Silvia Silva da Costa Botelho (INDIN, 2017)

Towards a biologically-inspired model for underwater localization based on sensory-motor coupling. - Hendry Ferreira Chame; Paulo Lilles Drews Jr.; Silvia Silva da Costa Botelho (LARS/SBR, 2017)

Towards comparison of Kalman filter methods for localisation in underwater environments. - Romulo Thiago Silva da Rosa; Guilherme Brunei Zaffari; Paulo Jefferson Dias de Oliveira Evald; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (LARS/SBR, 2017)

Seam tracking and welding bead geometry analysis for autonomous welding robot. - Luciane B. Soares; Átila Astor Weis; Ricardo Nagel Rodrigues; Paulo Lilles Jorge Drews Junior; Bruna Guterres; Silvia S. C. Botelho; Nelson Duarte Filho (LARS/SBR, 2017)

DeepDive: An End-to-End Dehazing Method Using Deep Learning. - Lucas Teixeira Goncalves; Joel Felipe de Oliveira Gaya; Paulo Drews Jr.; Silvia Silva da Costa Botelho (SIBGRAPI, 2017)

Object Classification in Semi Structured Enviroment Using Forward-Looking Sonar. - Matheus Machado dos Santos; Pedro Otávio Cardozo de Souza Ribeiro; Pedro Núñez; Paulo Drews Jr.; Silvia Silva da Costa Botelho (Sensors, 2017)

Visualization Techniques Applied to Image-to-Image Translation. - Églen Protas; José Douglas Bratti; Pedro O. C. S. Ribeiro; Paulo Drews Jr.; Silvia S. C. Botelho (BRACIS, 2018)

Sonar-to-Satellite Translation using Deep Learning. - Giovanni G. Giacomo; Matheus Machado dos Santos; Paulo Drews Jr.; Silvia S. C. Botelho (ICMLA, 2018)

Underwater Place Recognition in Unknown Environments with Triplet Based Acoustic Image Retrieval. - Pedro O. C. S. Ribeiro; Matheus Machado dos Santos; Paulo Lilles Jorge Drews Junior; Silvia S. C. Botelho; Lucas M. Longaray; Giovanni G. Giacomo; Marcelo R. Pias (ICMLA, 2018)

A Comparative Study on Sigma-Point Kalman Filters for Trajectory Estimation of Hybrid Aerial-Aquatic Vehicles. - Romulo Thiago Silva da Rosa; Paulo Jefferson Dias de Oliveira Evald; Paulo Lilles Jorge Drews Junior; Armando Alves Neto; Alexandre C. Horn; Rodrigo Zelir Azzolin; Silvia S. C. Botelho (IROS, 2018)

Perception of an Opto-Mechanical Torch for Linear Welding Robot Using Monocular Camera. - Matheus de Faria; Paulo Lilles Jorge Drews; Luciane Baldassari; Silvia Silva da Costa Botelho (LARS/SBR/WRE, 2018)

Image Processing for Automated Welding Robot: Reducing Interference due to Fume in Camera Lenses. - Edwilson Silva Vaz Junior; Paulo Lilles Drews Junior; Átila Astor Weis; Cristiano Rafael Steffens; Silvia Silva da Costa Botelho (LARS/SBR/WRE, 2018)

Deep Learning Based Exposure Correction for Image Exposure Correction with Application in Computer Vision for Robotics. - Cristiano Rafael Steffens; Paulo Lilles Jorge Drews; Silvia Silva da Costa Botelho (LARS/SBR/WRE, 2018)

A Low Cost System to Optimize Pesticide Application Based on Mobile Technologies and Computer Vision. - Felipe Weber; Gabrielle da Rosa; Fábio P. Terra; Andre Oldoni; Paulo Drews Jr. (LARS/SBR/WRE, 2018)

Using the Choquet Integral in the Pooling Layer in Deep Learning Networks. - Camila Alves Dias; Jéssica C. S. Bueno; Eduardo N. Borges; Silvia S. C. Botelho; Graçaliz Pereira Dimuro; Giancarlo Lucca; Javier Fernández 002; Humberto Bustince; Paulo Lilles Jorge Drews Junior (NAFIPS, 2018)

GuidedNet: Single Image Dehazing Using an End-to-End Convolutional Neural Network. - Lucas Teixeira Goncalves; Joel Felipe de Oliveira Gaya; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (SIBGRAPI, 2018)

Restoration of Images Affected by Welding Fume. - Edwilson Silva Vaz Junior; Paulo Lilles Jorge Drews Junior; Cristiano Rafael Steffens (SIBGRAPI, 2018)

Object Recognition and Semantic Mapping for Underwater Vehicles Using Sonar Data. - Matheus Machado dos Santos; Paulo Drews Jr.; Pedro Núñez; Silvia Silva da Costa Botelho (J. Intell. Robotic Syst., 2018)

Semantic Segmentation of Static and Dynamic Structures of Marina Satellite Images using Deep Learning. - Matheus Machado dos Santos; Giovanni G. De Giacomo; Paulo Drews Jr.; Silvia S. C. Botelho (BRACIS, 2019)

A Study on Configuration of Propellers for Multirotor-like Hybrid Aerial-Aquatic Vehicles. - Alexandre C. Horn; Pedro M. Pinheiro; César B. da Silva; Armando Alves Neto; Paulo L. J. Drews-Jr (ICAR, 2019)

Underwater Sonar and Aerial Images Data Fusion for Robot Localization. - Matheus Machado dos Santos; Giovanni G. De Giacomo; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (ICAR, 2019)

CNN-Based Luminance And Color Correction For ILL-Exposed Images. - Cristiano Rafael Steffens; Valquiria Huttner; Lucas Ricardo Vieira Messias; Paulo L. J. Drews-Jr; Silvia S. C. Botelho; Rodrigo da Silva Guerra (ICIP, 2019)

Simulating the Behaviour of Choquet-Like (pre) Aggregation Functions for Image Resizing in the Pooling Layer of Deep Learning Networks. - Camila Alves Dias; Jéssica C. S. Bueno; Eduardo N. Borges; Giancarlo Lucca; Hélida Salles Santos; Graçaliz Pereira Dimuro; Humberto Bustince; Paulo Drews Jr.; Silvia Botelho; Eduardo Silva Palmeira (IFSA/NAFIPS, 2019)

Contrast Enhancement and Image Completion: A CNN Based Model to Restore Ill Exposed Images. - Cristiano Rafael Steffens; Lucas Ricardo Vieira Messias; Paulo Drews Jr.; Silvia Silva da Costa Botelho (INDIN, 2019)

Height Measurement and Adjustment of Welding Torch for Linear Welding Robot. - Lucas Caetano; Débora Debiaze de Paula; Eduardo do Amaral Leivas; Cristiano Rafael Steffens; Bryan Stefan; Matheus de Faria; Paulo Drews Jr.; Silvia Botelho (LARS/SBR/WRE, 2019)

Non-Invasive Visual Computing Modelling for Obstruction Inspection of Pipes in the Fertilizer Industry. - Marta Duarte; Victor Coch; Jovania Dias; Silvia Botelho; Nelson Duarte Filho; Paulo Drews Jr. (LARS/SBR/WRE, 2019)

3D Surfaces Reconstruction and Volume Changes in Underwater Environments Using MSIS Sonar. - Bruno Justo; Matheus Machado dos Santos; Paulo Lilles Jorge Drews Junior; Jorge Arigony; Antônio Wilson Vieira (LARS/SBR/WRE, 2019)

A Perception System for an Autonomous Pesticide Boom Sprayer. - Gustavo Henrique do Nascimento; Felipe Weber; Gabrielle Almeida; Fábio P. Terra; Paulo Lilles Jorge Drews Junior (LARS/SBR/WRE, 2019)

Satellite and Underwater Sonar Image Matching Using Deep Learning. - Matheus Machado dos Santos; Giovanni G. De Giacomo; Paulo Drews Jr.; Silvia S. C. Botelho (LARS/SBR/WRE, 2019)

Can Exposure, Noise and Compression Affect Image Recognition? An Assessment of the Impacts on State-of-the-Art ConvNets. - Cristiano Rafael Steffens; Lucas Ricardo Vieira Messias; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (LARS/SBR/WRE, 2019)

Evaluation of the Pressure-Flow Relationship in a Boom of an Autonomous Robotic Agricultural Sprayer. - Fábio P. Terra; Gabrielle da Rosa; Paulo Drews Jr. (LARS/SBR/WRE, 2019)

An Optimized Image Fusion Method for Fume Removal in Automated Welding Robots Field. - Edwilson Vaz; Átila Astor Weis; Paulo Drews Jr.; Silvia Botelho; Cristiano Rafael Steffens; Lucas Pereira (LARS/SBR/WRE, 2019)

Perfect Storm: DSAs Embrace Deep Learning for GPU-Based Computer Vision. - Marcelo R. Pias; Silvia Botelho; Paulo Drews Jr. (SIBGRAPI Tutorials, 2019)

Single Image Restoration for Participating Media Based on Prior Fusion. - Joel Felipe de Oliveira Gaya; Amanda Cardoso Duarte; Felipe Codevilla Moraes; Paulo Drews Jr.; Silvia Silva da Costa Botelho (IEEE Computer Graphics and Applications, 2019)

Underwater place recognition using forward-looking sonar images: A topological approach. - Matheus Machado dos Santos; Guilherme Brunei Zaffari; Pedro O. C. S. Ribeiro; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (J. Field Robotics, 2019)

Visualization Methods for Image Transformation Convolutional Neural Networks. - Églen Protas; José Douglas Bratti; Joel Felipe de Oliveira Gaya; Paulo Drews Jr.; Silvia S. C. Botelho (IEEE Trans. Neural Networks Learn. Syst., 2019)

Unsupervised Learning Method for Encoder-Decoder-Based Image Restoration. - Claudio Dornelles Mello Jr.; Lucas Ricardo Vieira Messias; Paulo Lilles Jorge Drews Junior; Silvia S. C. Botelho (BRACIS, 2020)

A Pipelined Approach to Deal with Image Distortion in Computer Vision. - Cristiano Rafael Steffens; Lucas Ricardo Vieira Messias; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (BRACIS, 2020)

Grain Surface Simulator to Averiguate the Overlapping and Noise Problems on Computer Vision Granullometry of Fertilizers. - Douglas Alves Goulart; Nelson de Farias Traversi; Julio Cezar O. Mendonça; Ricardo Nagel Rodrigues; Emanuel da S. D. Estrada; Paulo Lilles Drews Jr.; Vinicius Menezes de Oliveira; Silvia S. C. Botelho (INDIN, 2020)

Embedded System for Automation of Linear Welding Robot for Naval and Offshore Industry. - Luciane B. Soares; Débora Debiaze de Paula; Patrick Baldez; Lucas Caetano; Ricardo Nagel; Danúbia Bueno Espíndola; Paulo Drews Jr.; Silvia Silva da Costa Botelho (INDIN, 2020)

Cooperative Training of Triplet Networks for Cross-Domain Matching. - Giovanni G. De Giacomo; Matheus Machado dos Santos; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (LARS/SBR/WRE, 2020)

Deep Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. - Ricardo B. Grando; Junior Costa de Jesus; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2020)

Visual-based Autonomous Unmanned Aerial Vehicle for Inspection in Indoor Environments. - Ricardo B. Grando; Pedro M. Pinheiro; Nicolas P. Bortoluzzi; César B. da Silva; Otávio F. Zauk; Mariana O. Piñeiro; Vivian M. Aoki; André L. S. da Kelbouscas; Ylanna B. Lima; Paulo L. J. Drews-Jr; Armando Alves Neto (LARS/SBR/WRE, 2020)

A Novel Concept for Hybrid Unmanned Aerial Underwater Vehicles Focused on Aquatic Performance. - Alexandre C. Horn; Pedro M. Pinheiro; Ricardo B. Grando; César B. da Silva; Armando Alves Neto; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2020)

Alternative Underwater Image Restoration Based on Unsupervised Learning and Autoencoder with Degradation Block. - Claudio Dornelles Mello Jr.; Bryan Umpierre Moreira; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (LARS/SBR/WRE, 2020)

Security on ROS: analyzing and exploiting vulnerabilities of ROS-based systems. - Rafael R. Teixeira; Igor P. Maurell; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2020)

Underwater Depth Estimation based on Water Classification using Monocular Image. - Edwilson Silva Vaz Junior; Everson Fagundes de Toledo; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2020)

Thermographic Non-Invasive Inspection Modelling of Fertilizer Pipelines Using Neural Networks. - Marta Duarte; Victor Coch; Jovania Dias; Silvia Botelho; Nelson Duarte Filho; Paulo Drews Jr. (SIBGRAPI, 2020)

CNN Based Image Restoration. - Cristiano Rafael Steffens; Lucas Ricardo Vieira Messias; Paulo L. J. Drews-Jr; Silvia Silva da Costa Botelho (J. Intell. Robotic Syst., 2020)

Matching Color Aerial Images and Underwater Sonar Images Using Deep Learning for Underwater Localization. - Matheus Machado dos Santos; Giovanni G. De Giacomo; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (IEEE Robotics Autom. Lett., 2020)

Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Nicolas P. Bortoluzzi; Pedro M. Pinheiro; Armando Alves Neto; Paulo Lilles Jorge Drews Junior (ICRA, 2021)

Analysis of a Hybrid Unmanned Aerial Underwater Vehicle Considering the Environment Transition. - Vivian M. Aoki; Pedro M. Pinheiro; Paulo L. J. Drews-Jr; Mauro André Barbosa Cunha; Lucas Griep Tuchtenhagen (LARS/SBR/WRE, 2021)

Geometric Primitive Fitting in Large Structure 3D Point Clouds Acquired by Drones. - Igor P. Maurell; Caue Ferreira; Carlos A. Eguti; Paulo Drews Jr. (LARS/SBR/WRE, 2021)

Degradation-Driven Underwater Image Enhancement. - Claudio Dornelles Mello Jr.; Paulo Lilles Drews Jr.; Silvia S. C. Botelho (LARS/SBR/WRE, 2021)

A Framework for Underwater Vehicle Localization based on Cross-view and Cross-domain Acoustic and Aerial Images. - Matheus Machado dos Santos; Giovanni G. De Giacomo; Paulo L. J. Drews-Jr; Silvia S. C. Botelho; Claudio Dornelles Mello Jr. (LARS/SBR/WRE, 2021)

A Visual Inspection Proposal to Identify Corrosion Levels in Marine Vessels Using a Deep Neural Network. - Luciane B. Soares; Silvia Botelho; Ricardo Nagel; Paulo Lilles Drews Jr. (LARS/SBR/WRE, 2021)

Water Classification Based on Underwater Monocular Image. - Everson Fagundes de Toledo; Edwilson Silva Vaz Junior; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2021)

VBM granulometry for real applications in the fertilizer industry. - Nelson de Farias Traversi; Douglas Alves Goulart; Julio Cezar O. Mendonça; Silvia S. C. Botelho; Luciane B. Soares; Emanuel da S. D. Estrada; Paulo L. J. Drews-Jr; Vinícius Menezes de Oliveira (LARS/SBR/WRE, 2021)

A spatio-temporal exposure correction neural network for autonomous vehicle. - Albano Borba; Johann Pires; Rafael Molossi Escher; Rodrigo Andrade de Bem; Paulo Drews Jr. (SAC, 2021)

Combination of Optical Character Recognition Engines for Documents Containing Sparse Text and Alphanumeric Codes. - Iago Lourenço Correa; Paulo Lilles Jorge Drews Junior; Ricardo Nagel Rodrigues (SIBGRAPI, 2021)

Fast Spatial-Temporal Transformer Network. - Rafael Molossi Escher; Rodrigo Andrade de Bem; Paulo Lilles Jorge Drews Junior (SIBGRAPI, 2021)

A Form Understanding Approach to Printed and Structured Engineering Documentation. - Gabriel Lavoura dos Santos; Vanessa Telles da Silva; Laura A. Dalmolin; Ricardo Nagel Rodrigues; Paulo Lilles Jorge Drews Junior; Nelson L. Duarte Filho (SIBGRAPI, 2021)

Underwater image segmentation in the wild using deep learning. - Paulo Drews Jr.; Isadora de Souza; Igor P. Maurell; Églen Protas; Silvia S. C. Botelho (J. Braz. Comput. Soc., 2021)

Guided Sonar-to-Satellite Translation. - Giovanni G. De Giacomo; Matheus Machado dos Santos; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (J. Intell. Robotic Syst., 2021)

ICAR 2019 Special Issue. - Guilherme A. S. Pereira; Paulo L. J. Drews-Jr; Denis F. Wolf; Leonardo S. Mattos (J. Intell. Robotic Syst., 2021)

On Robustness of Robotic and Autonomous Systems Perception. - Cristiano Rafael Steffens; Lucas Ricardo Vieira Messias; Paulo Lilles Drews Jr.; Silvia Silva da Costa Botelho (J. Intell. Robotic Syst., 2021)

Autonomous Agricultural Sprayer using Machine Vision and Nozzle Control. - Fábio P. Terra; Gustavo H. do Nascimento; Gabrielle A. Duarte; Paulo L. J. Drews-Jr (J. Intell. Robotic Syst., 2021)

Self-learning Methodology Based on Degradation Estimation for Underwater Image Enhancement. - Claudio Dornelles Mello Jr.; Bryan Umpierre Moreira; Paulo Jefferson Dias de Oliveira Evald; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (BRACIS (2), 2022)

Attention-Based Neural Network For Ill-Exposed Image Correction. - Lucas Ricardo Vieira Messias; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (ICIP, 2022)

A non-invasive learning-based method for pipeline overhaul on fertilizer production plants. - Jovania Menezes Dias; Paulo Jefferson Dias de Oliveira Evald; Rafael Tavares Guthes; Marta dos Anjos Duarte; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (IECON, 2022)

A neural network for segmentation of fertilizer grain with multiple sizes and without background. - Nelson de Farias Traversi; Paulo Jefferson Dias de Oliveira Evald; Jovania Menezes Dias; Douglas Alves Goulart; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (IECON, 2022)

Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo B. Grando; Rodrigo da Silva Guerra; Paulo Lilles Drews Jr. (IROS, 2022)

Detecting Data Injection Attacks in ROS Systems using Machine Learning. - Rodrigo Abrantes Antunes; Bruno Lopes Dalmazo; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

Exploring Ground Effect in a Hybrid Aerial-Aquatic Unmanned Vehicle. - Vivian Misaki Aoki; Paulo Jefferson Dias de Oliveira Evald; Pedro Miranda Pinheiro; César Bastos da Silva; Dayana dos Santos Cardoso; Mauro André Barbosa Cunha; Paulo Lilles Drews Jr. (LARS/SBR/WRE, 2022)

Volume-based Transition Zone Assessment of Hybrid Unmanned Aerial-Underwater Vehicles. - Vivian Misaki Aoki; Paulo Jefferson Dias de Oliveira Evald; Pedro Miranda Pinheiro; César Bastos da Silva; Dayana dos Santos Cardoso; Mauro André Barbosa Cunha; Paulo Lilles Jorge Drews Junior (LARS/SBR/WRE, 2022)

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Pedro M. Pinheiro; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Pedro M. Pinheiro; Rodrigo da Silva Guerra; Paulo Lilles Drews Jr. (LARS/SBR/WRE, 2022)

Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning. - Matheus G. Mateus; Ricardo B. Grando; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

Epistemic uncertainty estimation with evidential learning on semantic segmentation of underwater images. - Gustavo Henrique do Nascimento; Paulo Jefferson Dias de Oliveira Evald; Paulo Lilles Jorge Drews Junior (LARS/SBR/WRE, 2022)

Prototyping and Construction of a Hybrid Unmanned Aerial Underwater Vehicles. - Adir A. Pedroso; Andressa Cavalcante da Silva; Pedro M. Pinheiro; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2022)

Underwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions. - Claudio Dornelles Mello Jr.; Bryan Umpierre Moreira; Paulo Jefferson Dias de Oliveira Evald; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (Comput. Graph., 2022)

Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2022)

Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2022)

Editorial Notes for Topical Collection on Robotica 2019. - Esther Luna Colombini; Paulo L. J. Drews-Jr; Luiz M. G. Gonçalves (J. Intell. Robotic Syst., 2022)

Matching Cross-Domain Data with Cooperative Training of Triplet Networks: A Case Study on Underwater Robotics. - Giovanni G. De Giacomo; Matheus Machado dos Santos; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (J. Intell. Robotic Syst., 2022)

Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles. - Ricardo Bedin Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Paulo Lilles Jorge Drews Junior (J. Intell. Robotic Syst., 2022)

Trajectory Planning for Hybrid Unmanned Aerial Underwater Vehicles with Smooth Media Transition. - Pedro M. Pinheiro; Armando Alves Neto; Ricardo B. Grando; César B. da Silva; Vivian M. Aoki; Dayana Cardoso; Alexandre C. Horn; Paulo L. J. Drews-Jr (J. Intell. Robotic Syst., 2022)

A Probabilistic Approach to Restore Images Acquired in Underwater Scenes. - A.-N. Ponce-Hinestroza; Paulo L. J. Drews-Jr; Luz Abril Torres-Méndez (J. Math. Imaging Vis., 2022)

Cross-View and Cross-Domain Underwater Localization Based on Optical Aerial and Acoustic Underwater Images. - Matheus Machado dos Santos; Giovanni G. De Giacomo; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (IEEE Robotics Autom. Lett., 2022)

Visual Sensors Benchmark for Development of an Autonomous Navigation Setup for a Hybrid Unmanned Aerial Underwater Vehicle. - Matheus G. Mateus; Pedro L. Corçaque; Adir A. Pedroso Jr.; Andressa Cavalcante da Silva; Guilherme C. Oliveira; Gustavo Pereira de Almeida; Thássio G. Silva; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CLAWAR (1), 2023)

Low-Cost Prototype for Analysis and Monitoring of Underwater Structures. - Guilherme C. Oliveira; Paulo Jefferson Dias de Oliveira Evald; Matheus G. Mateus; Pedro L. Corçaque; Adir A. Pedroso Jr.; Andressa Cavalcante da Silva; Gustavo Pereira de Almeida; Thássio G. Silva; Paulo L. J. Drews-Jr; Jorge Arigony-Neto (CLAWAR (1), 2023)

Prototyping of a Sealing Cap for a Hybrid Unmanned Aerial Underwater Vehicle with Onboard Instrumentation. - Adir A. Pedroso Jr.; Andressa Cavalcante da Silva; Matheus G. Mateus; Ricardo B. Grando; Guilherme C. Oliveira; Pedro L. Corçaque; Paulo L. J. Drews-Jr (CLAWAR (1), 2023)

SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images. - Nikhil Gosala; Kürsat Petek; Paulo L. J. Drews-Jr; Wolfram Burgard; Abhinav Valada (CVPR, 2023)

HAB detection within Aquaculture Industry: A Case Study in the Atlantic Area. - Bruna Guterres; Kauê Sbrissa; Amanda Mendes; Lucas Meireles; Lucie Novoveska; Francisca Vermeulen; Javier Martinez; Aitor Garcia; Lisl Lain; Marié Smith; Paulo Drews Jr.; Nelson Duarte Filho; et al. (INDIN, 2023)

An Autonomous Inspection Method for Pitting Detection Using Deep Learning*. - Luciane B. Soares; Paulo Jefferson Dias de Oliveira Evald; Eduardo Augusto D. Evangelista; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho; Rafaela Iovanovichi Machado (INDIN, 2023)

EvCenterNet: Uncertainty Estimation for Object Detection Using Evidential Learning. - Monish R. Nallapareddy; Kshitij Sirohi; Paulo Lilles Jorge Drews; Wolfram Burgard; Chih-Hong Cheng; Abhinav Valada (IROS, 2023)

Line Detection and Segmentation of Annual Crops Using Hybrid Method. - Érick Cardoso Gonçalves; Gustavo Pereira de Almeida; Eduardo Lawson Da Silva; Tatiana Taís Schein; Paulo Jefferson Dias de Oliveira Evald; Paulo Lilles Drews Jr. (LARS/SBR/WRE, 2023)

DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Matheus G. Mateus; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2023)

Geometric Mapping and Pose Estimation Techniques for Improving Safety and Efficiency in Offshore Crane Operations. - Rafael Tavares Guthes; Matheus Machado dos Santos; Rafael Lemos; Guilherme Azambuja; Juliana V. dos Santos; Eduardo N. Borges; Paulo L. J. Drews-Jr; Silvia S. C. Botelho (LARS/SBR/WRE, 2023)

Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. - Alisson Henrique Kolling; Victor Augusto Kich; Junior Costa de Jesus; Andressa Cavalcante da Silva; Ricardo Bedin Grando; Paulo Lilles Jorge Drews; Daniel Fernando Tello Gamarra (LARS/SBR/WRE, 2023)

Mergulhão Bot: Design and Prototyping of a Low-Cost Hybrid Vehicle for Oil Leakage Detection. - Guilherme Camargo de Oliveira; Enrique F. Garcia; Julio Cesar S. Dos Santos; Adir A. Pedroso; Leonardo C. Pereira; Paulo L. J. Drews-Jr (LARS/SBR/WRE, 2023)

Unmanned Aerial Systems for Indoor Inspection in Industrial Sites: System Architecture, Sensors, and Simulation Techniques. - Matheus Machado dos Santos; Pedro M. Pinheiro; Igor P. Maurell; Luciane B. Soares; Je Nam Jun Junior; Pedro E. Nunes; Eduardo Augusto D. Evangelista; Vinicius V. Maurente; Cedenir B. Costa; Eduardo N. Borges; Eder Mateus Nunes Gonçalves; Marcelo Pias; et al. (LARS/SBR/WRE, 2023)

The not-so-easy task of taking heavy-lift ML models to the edge: a performance-watt perspective. - Lucas Caetano Pereira; Bruna Guterres; Kauê Sbrissa; Amanda Mendes; Francisca Vermeulen; Lisl Lain; Marié Smith; Javier Martinez; Paulo Drews Jr.; Nelson Duarte Filho; Vinícius Menezes de Oliveira; Silvia Botelho; et al. (SAC, 2023)

Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model. - Lucas Silva; Paulo Drews Jr.; Rodrigo Andrade de Bem (SIBGRAPI, 2023)

Segmentation and Removal of Markings in Metal Inspection Images. - Luciane B. Soares; Eduardo Augusto D. Evangelista; Vinicius V. Maurente; Matheus Machado dos Santos; Igor P. Maurell; Marcelo Pias; Paulo Drews Jr.; Silvia S. C. Botelho (SIBGRAPI, 2023)

DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. - Ricardo B. Grando; Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CoRR, 2023)

Robotics Research Growth in Latin America: Topical Collection on LARS 2020. - Paulo Lilles Jorge Drews Junior; Luiz M. G. Gonçalves (J. Intell. Robotic Syst., 2023)

Altitude Control of an Unmanned Air-Water Hybrid Vehicle in the Media Transition. - Lucas Griep Tuchtenhagen; Pedro Miranda Pinheiro; Vivian Misaki Aoki; Paulo Jefferson Dias de Oliveira Evald; Mauro André Barbosa Cunha; Paulo Lilles Jorge Drews Junior (J. Intell. Robotic Syst., 2023)

A Probabilistic Underwater Localisation based on Cross-view and Cross-domain Acoustic and Aerial Images. - Matheus Machado dos Santos; Paulo Jefferson Dias de Oliveira Evald; Giovanni G. De Giacomo; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (J. Intell. Robotic Syst., 2023)

Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning. - Ricardo B. Grando; Raul Steinmetz; Victor Augusto Kich; Alisson Henrique Kolling; Pablo M. Furik; Junior Costa de Jesus; Bruna de Vargas Guterres; Daniel Fernando Tello Gamarra; Rodrigo da Silva Guerra; Paulo L. J. Drews-Jr (CASE, 2024)

Optimizing Maritime Propeller Design with Continuous Evolutionary Algorithms. - Joe Jonas Vogel; Paulo Barbato Fogaça de Almeida; Paulo Lilles Jorge Drews Junior; Crístofer Hood Marques; Jônata Tyska Carvalho (CEC, 2024)

LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping. - Nikhil Gosala; Kürsat Petek; B. Ravi Kiran 001; Senthil Kumar Yogamani; Paulo L. J. Drews-Jr; Wolfram Burgard; Abhinav Valada (ECCV (58), 2024)

UDBE: Unsupervised Diffusion-Based Brightness Enhancement in Underwater Images. - Tatiana Taís Schein; Gustavo Pereira de Almeira; Stephanie Loi Brião; Rodrigo Andrade de Bem; Felipe G. Oliveira; Paulo L. J. Drews-Jr (ICMLA, 2024)

Geometric Deep Learning in Industrial Scenes: A Large-Scale 3D Synthetic Dataset. - Igor P. Maurell; Pedro L. Corçaque; Cris L. Froes; João Francisco S. S. Lemos; Felipe G. Oliveira; Paulo L. J. Drews-Jr (ICPR (19), 2024)

Pulse Width Modulation Drive System for Solenoid Flow Regulation. - Jardel J. P. Prado; Stephanie Loi Brião; Felipe G. Oliveira; Paulo L. J. Drews-Jr (IECON, 2024)

Scenario recognition and tracking for cargo handling operations in autonomous and non-sparse outdoor industrial environments. - Juliana Veiga dos Santos; Guilherme Volkmer De Azambuja Silva; Eduardo Nunes Borges; Paulo Lilles Jorge Drews; Silvia Silva da Costa Botelho (IECON, 2024)

Vision Transformer-based Approach for Solder Mask Fault Detection. - Walter J. S. Viana; Neandra P. Ferreira; Sharlene S. Meireles; Mario Otani; Paulo L. J. Drews-Jr; Felipe G. Oliveira (IECON, 2024)

Energy-Efficient LoRaWan Communication: Real-Time Applications in Aquaculture. - Lucas Cordova; Alberto Cabral; Diogo Guimarães; Ahmed Janati; Bruna Guterres; Vinicius Menezes de Oliveira; Aline Bezerra; Everson da Silva Flores; Silvia Botelho; Paulo Drews Jr.; Nelson Duarte Filho; Luis Poersch; et al. (INDIN, 2024)

Intelligent Cargo Handling - A Dataset for Industrial Operation Scenarios. - Juliana Veiga dos Santos; Guilherme Volkmer De Azambuja Silva; Eduardo Nunes Borges; Paulo Lilles Jorge Drews; Silvia Silva da Costa Botelho (INDIN, 2024)

Development of Comprehensive Fertilizer Datasets: Enhancing Precision Agriculture through Data-Driven Insights. - Nelson de Farias Traversi; Paulo Jefferson Dias de Oliveira Evald; Juliana Veiga dos Santos; Paulo Lilles Jorge Drews Junior; Silvia Silva da Costa Botelho (INDIN, 2024)

Energy-efficient Trajectory Planning with Media Transition for a Hybrid Unmanned Aerial-Underwater Vehicle. - Pedro M. Pinheiro; Armando Alves Neto; Douglas G. Macharet; Paulo Lilles Jorge Drews (IROS, 2024)

Digital Environment Description and Reconstruction Using Panoptic Segmentation. - João Francisco de Souza Santos Lemos; Gabriel Amaral Dorneles; Igor P. Maurell; Stephanie Loi Brião; Rodrigo da Silva Guerra; Paulo Lilles Jorge Drews Junior (RoboCup, 2024)

Autoencoder Satellite Image Matching for UAV Geolocation in Long-Range High-Altitude Missions. - Lucas B. V. Cordova; Stephanie Loi Brião; Felipe G. Oliveira; Rodrigo da Silva Guerra; Paulo Lilles Jorge Drews (SIBGRAPI, 2024)

LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping. - Nikhil Gosala; Kürsat Petek; B. Ravi Kiran 001; Senthil Kumar Yogamani; Paulo Drews Jr.; Wolfram Burgard; Abhinav Valada (CoRR, 2024)

Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots. - Victor Augusto Kich; Alisson Henrique Kolling; Junior Costa de Jesus; Gabriel Vinícius Heisler; Hiago Jacobs Sodre Pereira; Jair Augusto Bottega; André L. S. da Kelbouscas; Akihisa Ohya; Ricardo Bedin Grando; Paulo Lilles Drews Jr.; Daniel Fernando Tello Gamarra (CoRR, 2024)

A review on quadrotor attitude control strategies. - Paulo Jefferson Dias de Oliveira Evald; Vivian Misaki Aoki; César Bastos da Silva; Dayana dos Santos Cardoso; Pedro Miranda Pinheiro; Silvia Silva da Costa Botelho; Paulo Lilles Jorge Drews Junior (Int. J. Intell. Robotics Appl., 2024)

Image-based Mapless Navigation of a Hybrid Aerial-Underwater Vehicle using Prioritized Deep Reinforcement Learning. - Junior Costa de Jesus; Victor Augusto Kich; Alisson Henrique Kolling; Ricardo Bedin Grando; Rodrigo da Silva Guerra; Paulo Lilles Jorge Drews Junior (J. Intell. Robotic Syst., 2025)

Synthetic Enclosed Echoes: A New Dataset to Mitigate the Gap Between Simulated and Real-World Sonar Data. - Guilherme de Oliveira; Matheus Machado dos Santos; Paulo L. J. Drews-Jr (CoRR, 2025)

Underwater Robots Localization using Multi Domain Images: A Survey. - Matheus Machado dos Santos; Guilherme C. Oliveira; Paulo Jefferson Dias de Oliveira Evald; Paulo Lilles Drews Jr.; Silvia Silva da Costa Botelho (J. Intell. Robotic Syst., 2025)