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ORCIDWolfram Burgard
Person information
- affiliation: University of Freiburg, Germany
- award (2009): Gottfried Wilhelm Leibniz Prize
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2020 – today
- 2023
[j141]Nicolai Dorka
, Tim Welschehold, Joschka Bödecker, Wolfram Burgard:
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 8(2): 624-631 (2023)- [j140]José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration Using Panoptic Attention. IEEE Robotics Autom. Lett. 8(3): 1319-1326 (2023) - [j139]Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard:
Uncertainty-Aware Panoptic Segmentation. IEEE Robotics Autom. Lett. 8(5): 2629-2636 (2023) - [i115]Nikhil Gosala, Kürsat Petek, Paulo L. J. Drews-Jr, Wolfram Burgard, Abhinav Valada:
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images. CoRR abs/2302.04233 (2023) - [i114]Martin Büchner, Jannik Zürn, Ion-George Todoran, Abhinav Valada, Wolfram Burgard:
Learning and Aggregating Lane Graphs for Urban Automated Driving. CoRR abs/2302.06175 (2023) - [i113]Monish R. Nallapareddy, Kshitij Sirohi, Paulo L. J. Drews-Jr, Wolfram Burgard, Chih-Hong Cheng, Abhinav Valada:
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning. CoRR abs/2303.03037 (2023) - [i112]Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard:
Audio Visual Language Maps for Robot Navigation. CoRR abs/2303.07522 (2023) - [i111]Nicolai Dorka, Tim Welschehold, Wolfram Burgard:
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting. CoRR abs/2303.10144 (2023) - [i110]Niclas Vödisch, Kürsat Petek, Wolfram Burgard, Abhinav Valada:
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation. CoRR abs/2303.10147 (2023) - [i109]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
CoVIO: Online Continual Learning for Visual-Inertial Odometry. CoRR abs/2303.10149 (2023) - [i108]Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard:
Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces. CoRR abs/2303.11756 (2023) - [i107]Reihaneh Mirjalili, Michael Krawez, Wolfram Burgard:
FM-Loc: Using Foundation Models for Improved Vision-based Localization. CoRR abs/2304.07058 (2023) - [i106]Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada:
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. CoRR abs/2305.04718 (2023) - 2022
- [j138]Shengchao Yan, Tim Welschehold, Daniel Büscher, Wolfram Burgard:
Courteous Behavior of Automated Vehicles at Unsignalized Intersections Via Reinforcement Learning. IEEE Robotics Autom. Lett. 7(1): 191-198 (2022) - [j137]Adrian Röfer, Georg Bartels, Wolfram Burgard, Abhinav Valada, Michael Beetz:
Kineverse: A Symbolic Articulation Model Framework for Model-Agnostic Mobile Manipulation. IEEE Robotics Autom. Lett. 7(2): 3372-3379 (2022) - [j136]Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada:
Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation. IEEE Robotics Autom. Lett. 7(2): 3695-3702 (2022) - [j135]Oier Mees, Lukás Hermann, Erick Rosete-Beas, Wolfram Burgard:
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks. IEEE Robotics Autom. Lett. 7(3): 7327-7334 (2022) - [j134]Jannik Zürn, Wolfram Burgard:
Self-Supervised Moving Vehicle Detection From Audio-Visual Cues. IEEE Robotics Autom. Lett. 7(3): 7415-7422 (2022) - [j133]Oier Mees, Lukás Hermann, Wolfram Burgard:
What Matters in Language Conditioned Robotic Imitation Learning Over Unstructured Data. IEEE Robotics Autom. Lett. 7(4): 11205-11212 (2022) - [j132]Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada:
EfficientLPS: Efficient LiDAR Panoptic Segmentation. IEEE Trans. Robotics 38(3): 1894-1914 (2022) - [c393]Jannik Zürn, Sebastian Weber, Wolfram Burgard:
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories. CoRL 2022: 1104-1113 - [c392]Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard:
Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRL 2022: 1838-1849 - [c391]Kürsat Petek, Kshitij Sirohi, Daniel Büscher, Wolfram Burgard:
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation. ICRA 2022: 4163-4169 - [c390]Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard:
Affordance Learning from Play for Sample-Efficient Policy Learning. ICRA 2022: 6372-6378 - [c389]Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard:
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models. ICRA 2022: 8651-8657 - [c388]Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard:
T3VIP: Transformation-based 3D Video Prediction. IROS 2022: 4174-4181 - [c387]Johan Vertens, Wolfram Burgard:
Realistic Real-Time Simulation of RGB and Depth Sensors for Dynamic Scenarios using Augmented Image Based Rendering. IROS 2022: 8181-8188 - [c386]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [c385]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning. ISRR 2022: 19-35 - [p14]Silja Voeneky, Philipp Kellmeyer, Oliver Müller, Wolfram Burgard:
Introduction. The Cambridge Handbook of Responsible Artificial Intelligence 2022: 1-8 - [p13]Wolfram Burgard:
Artificial Intelligence: Key Technologies and Opportunities. The Cambridge Handbook of Responsible Artificial Intelligence 2022: 11-18 - [e11]Silja Voeneky, Philipp Kellmeyer, Oliver Müller, Wolfram Burgard:
The Cambridge Handbook of Responsible Artificial Intelligence - Interdisciplinary Perspectives. Cambridge Law Handbooks, Cambridge University Press 2022, ISBN 9781009207898 [contents] - [e10]Giuseppina Gini, Henk Nijmeijer, Wolfram Burgard, Dimitar P. Filev:
Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2022, Lisbon, Portugal, July 14-16, 2022. SCITEPRESS 2022, ISBN 978-989-758-585-2 [contents] - [i105]Jannik Zürn, Wolfram Burgard:
Self-Supervised Moving Vehicle Detection from Audio-Visual Cues. CoRR abs/2201.12771 (2022) - [i104]Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard:
Affordance Learning from Play for Sample-Efficient Policy Learning. CoRR abs/2203.00352 (2022) - [i103]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - [i102]Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning. CoRR abs/2203.01578 (2022) - [i101]Oier Mees, Lukás Hermann, Wolfram Burgard:
What Matters in Language Conditioned Robotic Imitation Learning. CoRR abs/2204.06252 (2022) - [i100]Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard:
Uncertainty-aware Panoptic Segmentation. CoRR abs/2206.14554 (2022) - [i99]Johan Vertens, Wolfram Burgard:
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks. CoRR abs/2207.07469 (2022) - [i98]Lukás Hermann, Max Argus, Adrian Röfer, Abhinav Valada, Thomas Brox, Wolfram Burgard:
RobotIO: A Python Library for Robot Manipulation Experiments. CoRR abs/2207.13591 (2022) - [i97]Jannik Zürn, Sebastian Weber, Wolfram Burgard:
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories. CoRR abs/2209.05247 (2022) - [i96]Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard:
Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRR abs/2209.08959 (2022) - [i95]José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada:
PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention. CoRR abs/2209.09699 (2022) - [i94]Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard:
T3VIP: Transformation-based 3D Video Prediction. CoRR abs/2209.11693 (2022) - [i93]Oier Mees, Jessica Borja-Diaz, Wolfram Burgard:
Grounding Language with Visual Affordances over Unstructured Data. CoRR abs/2210.01911 (2022) - [i92]Kshitij Sirohi, Sajad Marvi, Daniel Büscher, Wolfram Burgard:
Uncertainty-aware LiDAR Panoptic Segmentation. CoRR abs/2210.04472 (2022) - [i91]Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard:
Visual Language Maps for Robot Navigation. CoRR abs/2210.05714 (2022) - 2021
- [j131]Wera Winterhalter, Freya Fleckenstein, Christian Dornhege, Wolfram Burgard:
Localization for precision navigation in agricultural fields - Beyond crop row following. J. Field Robotics 38(3): 429-451 (2021) - [j130]Michael Krawez, Tim Caselitz, Jugesh Sundram, Mark Van Loock, Wolfram Burgard:
Real-Time Outdoor Illumination Estimation for Camera Tracking in Indoor Environments. IEEE Robotics Autom. Lett. 6(3): 6084-6091 (2021) - [j129]Jannik Zürn, Johan Vertens, Wolfram Burgard:
Lane Graph Estimation for Scene Understanding in Urban Driving. IEEE Robotics Autom. Lett. 6(4): 8615-8622 (2021) - [j128]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Veronika Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE Robotics Autom. Mag. 28(3): 29-49 (2021) - [j127]Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard:
Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans. Robotics Auton. Syst. 136: 103709 (2021) - [j126]Jannik Zürn, Wolfram Burgard, Abhinav Valada:
Self-Supervised Visual Terrain Classification From Unsupervised Acoustic Feature Learning. IEEE Trans. Robotics 37(2): 466-481 (2021) - [c384]Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon:
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR 2021: 11078-11088 - [c383]Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon:
Learning to Track with Object Permanence. ICCV 2021: 10840-10849 - [c382]Lukas Enderich, Fabian Timm, Wolfram Burgard:
Holistic Filter Pruning for Efficient Deep Neural Networks. WACV 2021: 2595-2604 - [i90]Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada:
EfficientLPS: Efficient LiDAR Panoptic Segmentation. CoRR abs/2102.08009 (2021) - [i89]Oier Mees, Wolfram Burgard:
Composing Pick-and-Place Tasks By Grounding Language. CoRR abs/2102.08094 (2021) - [i88]Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon:
Learning to Track with Object Permanence. CoRR abs/2103.14258 (2021) - [i87]Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon:
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR abs/2103.16690 (2021) - [i86]Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox:
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization. CoRR abs/2104.14386 (2021) - [i85]Jannik Zürn, Johan Vertens, Wolfram Burgard:
Lane Graph Estimation for Scene Understanding in Urban Driving. CoRR abs/2105.00195 (2021) - [i84]Shengchao Yan, Tim Welschehold, Daniel Büscher, Wolfram Burgard:
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning. CoRR abs/2106.06369 (2021) - [i83]Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada:
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation. CoRR abs/2110.03316 (2021) - [i82]Kürsat Petek, Kshitij Sirohi, Daniel Büscher, Wolfram Burgard:
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation. CoRR abs/2110.10563 (2021) - [i81]Nicolai Dorka, Joschka Boedecker, Wolfram Burgard:
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. CoRR abs/2111.12673 (2021) - [i80]Iman Nematollahi, Erick Rosete-Beas, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard:
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models. CoRR abs/2111.13129 (2021) - [i79]Oier Mees, Lukás Hermann, Erick Rosete-Beas, Wolfram Burgard:
CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks. CoRR abs/2112.03227 (2021) - 2020
- [j125]Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann:
A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection. Frontiers Robotics AI 7: 38 (2020) - [j124]Abhinav Valada, Rohit Mohan, Wolfram Burgard:
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation. Int. J. Comput. Vis. 128(5): 1239-1285 (2020) - [j123]Lukas Enderich, Fabian Timm, Wolfram Burgard:
SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization. Neurocomputing 416: 310-315 (2020) - [j122]Noha Radwan, Wolfram Burgard, Abhinav Valada:
Multimodal interaction-aware motion prediction for autonomous street crossing. Int. J. Robotics Res. 39(13) (2020) - [c381]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV 2020: 1-11 - [c380]Barbara Barros Carlos, Tommaso Sartor, Andrea Zanelli, Gianluca Frison, Wolfram Burgard, Moritz Diehl, Giuseppe Oriolo:
An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay. ICARCV 2020: 982-989 - [c379]Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard:
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. ICRA 2020: 94-100 - [c378]David Pannen, Martin Liebner, Wolfgang Hempel, Wolfram Burgard:
How to Keep HD Maps for Automated Driving Up To Date. ICRA 2020: 2288-2294 - [c377]Ayush Dewan, Wolfram Burgard:
DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans. ICRA 2020: 2624-2630 - [c376]Tim Caselitz, Michael Krawez, Jugesh Sundram, Mark Van Loock, Wolfram Burgard:
Camera Tracking in Lighting Adaptable Maps of Indoor Environments. ICRA 2020: 3334-3340 - [c375]Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard:
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. ICRA 2020: 4188-4194 - [c374]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. ICRA 2020: 6498-6505 - [c373]Marina Kollmitz, Daniel Büscher, Wolfram Burgard:
Predicting Obstacle Footprints from 2D Occupancy Maps by Learning from Physical Interactions. ICRA 2020: 10256-10262 - [c372]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. IROS 2020: 2007-2013 - [c371]Iman Nematollahi, Oier Mees, Lukás Hermann, Wolfram Burgard:
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction. IROS 2020: 5319-5326 - [c370]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. IROS 2020: 5431-5437 - [c369]Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. IROS 2020: 5526-5533 - [c368]Johannes Meyer, Andreas Eitel, Thomas Brox, Wolfram Burgard:
Improving Unimodal Object Recognition with Multimodal Contrastive Learning. IROS 2020: 5656-5663 - [c367]Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. IROS 2020: 8461-8468 - [c366]Nicolai Dorka, Johannes Meyer, Wolfram Burgard:
Modality-Buffet for Real-Time Object Detection. IROS 2020: 10543-10549 - [c365]Marina Kollmitz, Torsten Koller, Joschka Boedecker, Wolfram Burgard:
Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning. IROS 2020: 11025-11031 - [c364]Oier Mees, Wolfram Burgard:
Composing Pick-and-Place Tasks by Grounding Language. ISER 2020: 491-501 - [c363]Cristina Menendez-Romero, Franz Winkler, Christian Dornhege, Wolfram Burgard:
Maneuver Planning and Learning: a Lane Selection Approach for Highly Automated Vehicles in Highway Scenarios. ITSC 2020: 1-7 - [c362]Florian Wirnshofer, Philipp Sebastian Schmitt, Georg von Wichert, Wolfram Burgard:
Controlling Contact-Rich Manipulation Under Partial Observability. Robotics: Science and Systems 2020 - [i78]Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard:
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. CoRR abs/2001.08481 (2020) - [i77]Lukas Enderich, Fabian Timm, Wolfram Burgard:
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization. CoRR abs/2002.08204 (2020) - [i76]Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. CoRR abs/2003.04046 (2020) - [i75]Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. CoRR abs/2003.04645 (2020) - [i74]Andreas Eitel, Nico Hauff, Wolfram Burgard:
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction. CoRR abs/2005.09484 (2020) - [i73]Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox:
Scaling Imitation Learning in Minecraft. CoRR abs/2007.02701 (2020) - [i72]Gabriel L. Oliveira, Senthil Kumar Yogamani, Wolfram Burgard, Thomas Brox:
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation. CoRR abs/2007.09746 (2020) - [i71]Iman Nematollahi, Oier Mees, Lukás Hermann, Wolfram Burgard:
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction. CoRR abs/2008.00456 (2020) - [i70]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. CoRR abs/2008.01179 (2020) - [i69]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR abs/2008.06630 (2020) - [i68]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR abs/2008.12969 (2020) - [i67]Lukas Enderich, Fabian Timm, Wolfram Burgard:
Holistic Filter Pruning for Efficient Deep Neural Networks. CoRR abs/2009.08169 (2020) - [i66]Barbara Barros Carlos, Tommaso Sartor, Andrea Zanelli, Gianluca Frison, Wolfram Burgard, Moritz Diehl, Giuseppe Oriolo:
An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay. CoRR abs/2010.11264 (2020) - [i65]Nicolai Dorka, Johannes Meyer, Wolfram Burgard:
Modality-Buffet for Real-Time Object Detection. CoRR abs/2011.08726 (2020)
2010 – 2019
- 2019
- [j121]Malte Schilling, Wolfram Burgard, Katharina Muelling, Britta Wrede, Helge J. Ritter:
Editorial: Shared Autonomy - Learning of Joint Action and Human-Robot Collaboration. Frontiers Neurorobotics 13: 16 (2019) - [j120]Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball:
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression. Frontiers Neurorobotics 13: 76 (2019) - [j119]Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard:
VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. IEEE Robotics Autom. Lett. 4(2): 1148-1155 (2019) - [j118]Lukas Luft, Federico Boniardi, Alexander Schaefer, Daniel Büscher, Wolfram Burgard:
On the Bayes Filter for Shared Autonomy. IEEE Robotics Autom. Lett. 4(4): 3286-3293 (2019) - [j117]Wolfram Burgard:
Diversity, Inclusiveness, and Respect [President's Message]. IEEE Robotics Autom. Mag. 26(1): 6 (2019) - [j116]Wolfram Burgard:
25th Anniversary of IEEE Robotics and Automation Magazine: From a Small Seed to a Great Plant [President's Message]. IEEE Robotics Autom. Mag. 26(2): 6 (2019) - [j115]Wolfram Burgard:
Open Access: How Best to Prepare to Master This Challenge [President's Message]. IEEE Robotics Autom. Mag.