| Real-time Convolutional Neural Networks for Emotion and Gender Classification O Arriaga, M Valdenegro-Toro, P Plöger arXiv preprint arXiv:1710.07557, 2017 | 454 | 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 | 92 | 2022 |
| Submerged marine debris detection with autonomous underwater vehicles M Valdenegro-Toro 2016 International Conference on Robotics and Automation for Humanitarian …, 2016 | 75 | 2016 |
| 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 | 71 | 2021 |
| Object recognition in forward-looking sonar images with Convolutional Neural Networks M Valdenegro-Toro OCEANS 2016 MTS/IEEE Monterey, 1-6, 2016 | 67 | 2016 |
| Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification M Valdenegro-Toro arXiv preprint arXiv:1910.08168, 2019 | 63 | 2019 |
| 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 | 58 | 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 | 52 | 2020 |
| Modeling and Soft-fault Diagnosis of Underwater Thrusters with Recurrent Neural Networks S Nascimento, M Valdenegro-Toro IFAC-PapersOnLine 51 (29), 80-85, 2018 | 37 | 2018 |
| Deep Neural Networks for Marine Debris Detection in Sonar Images M Valdenegro-Toro arXiv preprint arXiv:1905.05241, 2019 | 31 | 2019 |
| Best Practices in Convolutional Networks for Forward-Looking Sonar Image Recognition M Valdenegro-Toro arXiv preprint arXiv:1709.02601, 2017 | 29 | 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 | 29 | 2016 |
| Improving sonar image patch matching via deep learning M Valdenegro-Toro 2017 European Conference on Mobile Robots (ECMR), 1-6, 2017 | 21 | 2017 |
| Perception for Autonomous Systems (PAZ) O Arriaga, M Valdenegro-Toro, M Muthuraja, S Devaramani, F Kirchner arXiv preprint arXiv:2010.14541, 2020 | 20 | 2020 |
| 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 | 18 | 2021 |
| 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 | 17 | 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 | 15 | 2022 |
| 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 |
| 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 | 15 | 2017 |
| Learning Objectness from Sonar Images for Class-Independent Object Detection M Valdenegro-Toro 2019 European Conference on Mobile Robots (ECMR), 1-6, 2019 | 14 | 2019 |
Paul PloegerProfessor for Autonomous SystemsVerified email at h-brs.de
