| Deep Auxiliary Learning for Visual Localization and Odometry A Valada, N Radwan, W Burgard 2018 IEEE International Conference on Robotics and Automation (ICRA), 6939-6946, 2018 | 119 | 2018 |
| VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry N Radwan, A Valada, W Burgard IEEE Robotics and Automation Letters (RA-L) 3 (4), 4407-4414, 2018 | 109 | 2018 |
| AdapNet: Adaptive Semantic Segmentation in Adverse Environmental Conditions A Valada, J Vertens, A Dhall, W Burgard 2017 IEEE International Conference on Robotics & Automation (ICRA), 2017 | 100 | 2017 |
| Deep Multispectral Semantic Scene Understanding of Forested Environments using Multimodal Fusion A Valada, GL Oliveira, T Brox, W Burgard International Symposium on Experimental Robotics, 465-477, 2016 | 88 | 2016 |
| Deep Learning for Human Part Discovery in Images GL Oliveira, A Valada, C Bollen, W Burgard, T Brox IEEE International Conference on Robotics and Automation, 2016 | 86 | 2016 |
| Self-Supervised Model Adaptation for Multimodal Semantic Segmentation A Valada, R Mohan, W Burgard International Journal of Computer Vision (IJCV) 128 (Deep Learning for …, 2019 | 74 | 2019 |
| Development of a Low Cost Multi-Robot Autonomous Marine Surface Platform A Valada, P Velagapudi, B Kannan, C Tomaszewski, G Kantor, P Scerri Field and Service Robotics, 643-658, 2014 | 55 | 2014 |
| Deep Feature Learning for Acoustics-based Terrain Classification A Valada, L Spinello, W Burgard Proceedings of the International Symposium on Robotics Research (ISRR), 2015 | 46 | 2015 |
| SMSnet: Semantic motion segmentation using deep convolutional neural networks J Vertens, A Valada, W Burgard 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 38 | 2017 |
| Autonomous indoor robot navigation using a sketch interface for drawing maps and routes F Boniardi, A Valada, W Burgard, GD Tipaldi 2016 IEEE International Conference on Robotics and Automation (ICRA), 2896-2901, 2016 | 33 | 2016 |
| Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification A Valada, W Burgard The International Journal of Robotics Research 36 (13-14), 1521-1539, 2017 | 28 | 2017 |
| Design and development of a wireless sensor network system for precision agriculture A Valada, D Kohanbash, G Kantor tech. report CMU-RI-TR-10-21, The Robotics Institute, Carnegie Mellon …, 2010 | 26 | 2010 |
| Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing N Radwan, W Burgard, A Valada International Journal of Robotics Research (IJRR), 2020 | 23 | 2020 |
| Towards Robust Semantic Segmentation using Deep Fusion A Valada, G Oliveira, T Brox, W Burgard Robotics: Science and Systems (RSS 2016) Workshop, Are the Sceptics Right …, 2016 | 22 | 2016 |
| Visual obstacle avoidance for autonomous watercraft using smartphones T El-Gaaly, C Tomaszewski, A Valada, P Velagapudi, B Kannan, P Scerri Proc. of Autonomous Robots and Multirobot Systems workshop (ARMS), 2013 | 22 | 2013 |
| Convoluted Mixture of Deep Experts for Robust Semantic Segmentation A Valada, A Dhall, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2016 | 17 | 2016 |
| Wireless sensor networks and actionable modeling for intelligent irrigation D Kohanbash, A Valada, G Kantor Proceedings of American Society of Agricultural and Biological Engineers …, 2011 | 17* | 2011 |
| Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network F Boniardi, A Valada, R Mohan, T Caselitz, W Burgard 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 13 | 2019 |
| EfficientPS: Efficient Panoptic Segmentation R Mohan, A Valada International Journal of Computer Vision (IJCV), 2021 | 11 | 2021 |
| Incorporating Semantic and Geometric Priors in Deep Pose Regression A Valada, N Radwan, W Burgard Workshop on Learning and Inference in Robotics: Integrating Structure …, 2018 | 11 | 2018 |
Wolfram BurgardProfessor of Computer Science, University of FreiburgGeverifieerd e-mailadres voor informatik.uni-freiburg.de
