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ORCIDHenrik Kretzschmar
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2020 – today
- 2024
[c21]Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov:
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. ICRA 2024: 8272-8279- 2023
- [c20]Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar:
Superpixel Transformers for Efficient Semantic Segmentation. IROS 2023: 7651-7658 - [i12]Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar:
Superpixel Transformers for Efficient Semantic Segmentation. CoRR abs/2309.16889 (2023) - 2022
- [c19]Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar:
Block-NeRF: Scalable Large Scene Neural View Synthesis. CVPR 2022: 8238-8248 - [c18]Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar:
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. ECCV (29) 2022: 53-72 - [c17]Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov:
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. ECCV (38) 2022: 388-405 - [c16]Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You
, Han Deng, Congcong Li, Dragomir Anguelov:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA 2022: 366-373 - [c15]Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk:
Instance Segmentation with Cross-Modal Consistency. IROS 2022: 2009-2016 - [i11]Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov:
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. CoRR abs/2201.05938 (2022) - [i10]Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar:
Block-NeRF: Scalable Large Scene Neural View Synthesis. CoRR abs/2202.05263 (2022) - [i9]Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov:
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR abs/2206.03666 (2022) - [i8]Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov:
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR abs/2206.07704 (2022) - [i7]Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov:
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. CoRR abs/2206.07705 (2022) - [i6]Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk:
Instance Segmentation with Cross-Modal Consistency. CoRR abs/2210.08113 (2022) - [i5]Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov:
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. CoRR abs/2210.09267 (2022) - 2020
- [c14]Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR 2020: 2443-2451 - [c13]Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar:
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CVPR 2020: 11115-11124 - [c12]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS 2020 - [i4]Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar:
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CoRR abs/2005.03844 (2020) - [i3]Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov:
SoDA: Multi-Object Tracking with Soft Data Association. CoRR abs/2008.07725 (2020) - [i2]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR abs/2010.06808 (2020)
2010 – 2019
- 2019
- [i1]Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR abs/1912.04838 (2019) - 2016
- [j4]Henrik Kretzschmar, Markus Spies, Christoph Sprunk, Wolfram Burgard:
Socially compliant mobile robot navigation via inverse reinforcement learning. Int. J. Robotics Res. 35(11): 1289-1307 (2016) - 2014
- [b1]Henrik Kretzschmar:
Learning probabilistic models for mobile robot navigation (Techniken zum maschinellen Lernen probabilistischer Modelle für die Navigation mit mobilen Robotern). University of Freiburg, Germany, 2014 - [j3]Kai M. Wurm, Henrik Kretzschmar, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard:
Identifying vegetation from laser data in structured outdoor environments. Robotics Auton. Syst. 62(5): 675-684 (2014) - [c11]Stefan Oßwald, Henrik Kretzschmar, Wolfram Burgard, Cyrill Stachniss:
Learning to give route directions from human demonstrations. ICRA 2014: 3303-3308 - [c10]Henrik Kretzschmar, Markus Kuderer, Wolfram Burgard:
Learning to predict trajectories of cooperatively navigating agents. ICRA 2014: 4015-4020 - [c9]Markus Kuderer, Christoph Sprunk, Henrik Kretzschmar, Wolfram Burgard:
Online generation of homotopically distinct navigation paths. ICRA 2014: 6462-6467 - 2013
- [c8]Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, Cyrill Stachniss:
Learning manipulation actions from a few demonstrations. ICRA 2013: 1268-1275 - [c7]Maximilian Beinhofer, Henrik Kretzschmar, Wolfram Burgard:
Deploying artificial landmarks to foster data association in simultaneous localization and mapping. ICRA 2013: 5235-5240 - [c6]Markus Kuderer, Henrik Kretzschmar, Wolfram Burgard:
Teaching mobile robots to cooperatively navigate in populated environments. IROS 2013: 3138-3143 - 2012
- [j2]Henrik Kretzschmar, Cyrill Stachniss:
Information-theoretic compression of pose graphs for laser-based SLAM. Int. J. Robotics Res. 31(11): 1219-1230 (2012) - [c5]Markus Kuderer, Henrik Kretzschmar, Christoph Sprunk, Wolfram Burgard:
Feature-Based Prediction of Trajectories for Socially Compliant Navigation. Robotics: Science and Systems 2012 - 2011
- [c4]Jakob Ziegler, Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard:
Accurate human motion capture in large areas by combining IMU- and laser-based people tracking. IROS 2011: 86-91 - [c3]Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti:
Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders. IROS 2011: 865-871 - [c2]Cyrill Stachniss, Henrik Kretzschmar:
Pose Graph Compression for Laser-Based SLAM. ISRR 2011: 271-287 - 2010
- [j1]Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stachniss:
Lifelong Map Learning for Graph-based SLAM in Static Environments. Künstliche Intell. 24(3): 199-206 (2010)
2000 – 2009
- 2008
- [c1]Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard:
Estimating landmark locations from geo-referenced photographs. IROS 2008: 2902-2907
Coauthor Index
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