Paulo Drews Jr.

According to our database1, Paulo Drews Jr. authored at least 55 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
Visualization Methods for Image Transformation Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Underwater place recognition using forward-looking sonar images: A topological approach.
J. Field Robotics, 2019

Single Image Restoration for Participating Media Based on Prior Fusion.
IEEE Computer Graphics and Applications, 2019

Perfect Storm: DSAs Embrace Deep Learning for GPU-Based Computer Vision.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images Tutorials, 2019

Contrast Enhancement and Image Completion: A CNN Based Model to Restore Ill Exposed Images.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Simulating the Behaviour of Choquet-Like (pre) Aggregation Functions for Image Resizing in the Pooling Layer of Deep Learning Networks.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

CNN-Based Luminance And Color Correction For ILL-Exposed Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Underwater Sonar and Aerial Images Data Fusion for Robot Localization.
Proceedings of the 19th International Conference on Advanced Robotics, 2019

A Study on Configuration of Propellers for Multirotor-like Hybrid Aerial-Aquatic Vehicles.
Proceedings of the 19th International Conference on Advanced Robotics, 2019

Semantic Segmentation of Static and Dynamic Structures of Marina Satellite Images using Deep Learning.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Object Recognition and Semantic Mapping for Underwater Vehicles Using Sonar Data.
J. Intell. Robotic Syst., 2018

Restoration of Images Affected by Welding Fume.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

GuidedNet: Single Image Dehazing Using an End-to-End Convolutional Neural Network.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Using the Choquet Integral in the Pooling Layer in Deep Learning Networks.
Proceedings of the Fuzzy Information Processing, 2018

A Comparative Study on Sigma-Point Kalman Filters for Trajectory Estimation of Hybrid Aerial-Aquatic Vehicles.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Underwater Place Recognition in Unknown Environments with Triplet Based Acoustic Image Retrieval.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Sonar-to-Satellite Translation using Deep Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Visualization Techniques Applied to Image-to-Image Translation.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Object Classification in Semi Structured Enviroment Using Forward-Looking Sonar.
Sensors, 2017

DeepDive: An End-to-End Dehazing Method Using Deep Learning.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Seam tracking and welding bead geometry analysis for autonomous welding robot.
Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Towards comparison of Kalman filter methods for localisation in underwater environments.
Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Towards a biologically-inspired model for underwater localization based on sensory-motor coupling.
Proceedings of the 2017 Latin American Robotics Symposium (LARS) and 2017 Brazilian Symposium on Robotics (SBR), 2017

Automated seam tracking system based on passive monocular vision for automated linear robotic welding process.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Forward Looking Sonar Scene Matching Using Deep Learning.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Understading Image Restoration Convolutional Neural Networks with Network Inversion.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Deep Learning for Microalgae Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Underwater Depth Estimation and Image Restoration Based on Single Images.
IEEE Computer Graphics and Applications, 2016

Real-time monocular obstacle avoidance using Underwater Dark Channel Prior.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Using a MRF-BP model with color adaptive training for underwater color restoration.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Supervised Microalgae Classification in Imbalanced Dataset.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Automatic restoration of underwater monocular sequences of images.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Attitude control for an Hybrid Unmanned Aerial Underwater Vehicle: A robust switched strategy with global stability.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Spatial Density Patterns for Efficient Change Detection in 3D Environment for Autonomous Surveillance Robots.
IEEE Trans Autom. Sci. Eng., 2014

Hybrid Unmanned Aerial Underwater Vehicle: Modeling and simulation.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Generalized Optical Flow Model for Scattering Media.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach.
Proceedings of the 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014

2013
Novelty detection and segmentation based on Gaussian mixture models: A case study in 3D robotic laser mapping.
Robotics Auton. Syst., 2013

Microalgae classification using semi-supervised and active learning based on Gaussian mixture models.
J. Braz. Comput. Soc., 2013

Fast and adaptive 3D change detection algorithm for autonomous robots based on Gaussian Mixture Models.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Transmission Estimation in Underwater Single Images.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

3D robotic mapping: A biologic approach.
Proceedings of the 16th International Conference on Advanced Robotics, 2013

Improving change detection using Vertical Surface Normal Histograms and Gaussian Mixture Models in structured environments.
Proceedings of the 16th International Conference on Advanced Robotics, 2013

2012
Space D* - A path-planning algorithm for multiple robots in unknown environments.
J. Braz. Comput. Soc., 2012

Self-Organizing Mapping of Robotic Environments Based on Neural Networks.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Efficient change detection in 3D environment for autonomous surveillance robots based on implicit volume.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2010
Sensor fusion based on multi-self-organizing maps for SLAM.
Proceedings of the 2010 IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems, 2010

Change detection in 3D environments based on Gaussian Mixture Model and robust structural matching for autonomous robotic applications.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Novelty detection and 3D shape retrieval using superquadrics and multi-scale sampling for autonomous mobile robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Probabilistic LMA-based classification of human behaviour understanding using Power Spectrum technique.
Proceedings of the 13th Conference on Information Fusion, 2010

Crowd behavior analysis under cameras network fusion using probabilistic methods.
Proceedings of the 13th Conference on Information Fusion, 2010

2009
Appearance-based odometry and mapping with feature descriptors for underwater robots.
J. Braz. Comput. Soc., 2009

Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Data Fusion Calibration for a 3D Laser Range Finder and a Camera using Inertial Data.
Proceedings of the 4th European Conference on Mobile Robots, 2009

Object Shape Retrieval through Grasp Exploration.
Proceedings of the 4th European Conference on Mobile Robots, 2009


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