Matias Valdenegro-Toro

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Paul PloegerProfessor for Autonomous SystemsDirección de correo verificada de h-brs.de
Octavio ArriagaUniversity of BremenDirección de correo verificada de dfki.de
Frank KirchnerProfessor für Robotik, Universität Bremen, DFKIDirección de correo verificada de dfki.de
Bilal WehbePhd, German Research Center for Artificial Intelligence - Robotic Innovation CenterDirección de correo verificada de dfki.de
Ivo Pascal de JongPhD-candidate Brain-Computer Interfaces & Uncertainty Quantification, Rijksuniversiteit GroningenDirección de correo verificada de rug.nl
Sergio HernandezUniversidad Catolica del MauleDirección de correo verificada de ucm.cl
Andreea Ioana SburleaUniversity of GroningenDirección de correo verificada de rug.nl
Mohandass MuthurajaMarinom GmbHDirección de correo verificada de smail.inf.h-brs.de
Samy NascimentoResearcher, DFKIDirección de correo verificada de dfki.de
Stefan EickelerFraunhofer IAISDirección de correo verificada de iais.fraunhofer.de
Matthia SabatelliAssistant Professor @ University of GroningenDirección de correo verificada de student.rug.nl
Deepan Chakravarthi PadmanabhanDeep Learning Researcher, Advanced Research Lab, NavInfo Europe B.V.Dirección de correo verificada de navinfo.eu
Mariela De Lucas AlvarezDFKI RIC, Bremen and Robotics Group, Universität BremenDirección de correo verificada de dfki.de
Mariia Dmitrieva

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Matias Valdenegro-Toro

Assistant Professor of Machine Learning, Bernoulli Institute, University of Groningen

Dirección de correo verificada de rug.nl - Página principal

Uncertainty in Machine Learning Bayesian Deep Learning Robot Perception


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Real-time Convolutional Neural Networks for Emotion and Gender Classification O Arriaga, M Valdenegro-Toro, P Plöger arXiv preprint arXiv:1710.07557, 2017	466	2017
A deeper look into aleatoric and epistemic uncertainty disentanglement M Valdenegro-Toro, DS Mori 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2022	113	2022
The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentation D Singh, M Valdenegro-Toro Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	83	2021
Submerged marine debris detection with autonomous underwater vehicles M Valdenegro-Toro 2016 International Conference on Robotics and Automation for Humanitarian …, 2016	81	2016
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification M Valdenegro-Toro arXiv preprint arXiv:1910.08168, 2019	72	2019
Object recognition in forward-looking sonar images with Convolutional Neural Networks M Valdenegro-Toro OCEANS 2016 MTS/IEEE Monterey, 1-6, 2016	71	2016
End-to-end object detection and recognition in forward-looking sonar images with convolutional neural networks M Valdenegro-Toro 2016 IEEE/OES Autonomous Underwater Vehicles (AUV), 144-150, 2016	62	2016
Optimization of convolutional neural network hyperparameters for automatic classification of adult mosquitoes D Motta, AÁB Santos, BAS Machado, OGV Ribeiro-Filho, LOA Camargo, ... PLOS ONE 15 (7), e0234959, 2020	55	2020
Deep Neural Networks for Marine Debris Detection in Sonar Images M Valdenegro-Toro arXiv preprint arXiv:1905.05241, 2019	36	2019
Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks S Nascimento, M Valdenegro-Toro IFAC-PapersOnLine 51 (29), 80-85, 2018	36	2018
Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition M Valdenegro-Toro arXiv preprint arXiv:1709.02601, 2017	32	2017
Objectness Scoring and Detection Proposals in Forward-Looking Sonar Images with Convolutional Neural Networks M Valdenegro-Toro IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 209-219, 2016	32	2016
Deep Reinforcement Learning for Continuous Docking Control of Autonomous Underwater Vehicles: A Benchmarking Study M Patil, B Wehbe, M Valdenegro-Toro OCEANS 2021: San Diego–Porto, 1-7, 2021	22	2021
Perception for Autonomous Systems (PAZ) O Arriaga, M Valdenegro-Toro, M Muthuraja, S Devaramani, F Kirchner arXiv preprint arXiv:2010.14541, 2020	20	2020
Improving sonar image patch matching via deep learning M Valdenegro-Toro 2017 European Conference on Mobile Robots (ECMR), 1-6, 2017	20	2017
I Find Your Lack of Uncertainty in Computer Vision Disturbing M Valdenegro-Toro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	19	2021
Self-supervised Learning for Sonar Image Classification A Preciado-Grijalva, B Wehbe, MB Firvida, M Valdenegro-Toro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	18	2022
Object classification with convolution neural network based on the time-frequency representation of their echo M Dmitrieva, M Valdenegro-Toro, K Brown, G Heald, D Lane 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017	16	2017
Improving predictive uncertainty estimation using Dropout–Hamiltonian Monte Carlo S Hernández, D Vergara, M Valdenegro-Toro, F Jorquera Soft Computing 24 (6), 4307-4322, 2020	15	2020
Learning Objectness from Sonar Images for Class-Independent Object Detection M Valdenegro-Toro 2019 European Conference on Mobile Robots (ECMR), 1-6, 2019	15	2019

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