Henrik Kretzschmar

According to our database, Henrik Kretzschmar authored at least 29 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection.

Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Superpixel Transformers for Efficient Semantic Segmentation.

Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar

IROS, 2023

2022

Waymo Open Dataset: Panoramic Video Panoptic Segmentation.

Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov

CoRR, 2022

GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting.

Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov

CoRR, 2022

Instance Segmentation with Cross-Modal Consistency.

Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.

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

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Waymo Open Dataset: Panoramic Video Panoptic Segmentation.

Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar

Proceedings of the Computer Vision - ECCV 2022, 2022

CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection.

Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov

Proceedings of the Computer Vision - ECCV 2022, 2022

Block-NeRF: Scalable Large Scene Neural View Synthesis.

Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

SoDA: Multi-Object Tracking with Soft Data Association.

Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov

CoRR, 2020

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.

Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving.

Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Scalability in Perception for Autonomous Driving: Waymo Open Dataset.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2016

Socially compliant mobile robot navigation via inverse reinforcement learning.

Henrik Kretzschmar, Markus Spies, Christoph Sprunk, Wolfram Burgard

Int. J. Robotics Res., 2016

2014

Learning probabilistic models for mobile robot navigation (Techniken zum maschinellen Lernen probabilistischer Modelle für die Navigation mit mobilen Robotern)

Henrik Kretzschmar

PhD thesis, 2014

Identifying vegetation from laser data in structured outdoor environments.

Kai M. Wurm, Henrik Kretzschmar, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard

Robotics Auton. Syst., 2014

Learning to give route directions from human demonstrations.

Stefan Oßwald, Henrik Kretzschmar, Wolfram Burgard, Cyrill Stachniss

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Online generation of homotopically distinct navigation paths.

Markus Kuderer, Christoph Sprunk, Henrik Kretzschmar, Wolfram Burgard

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning to predict trajectories of cooperatively navigating agents.

Henrik Kretzschmar, Markus Kuderer, Wolfram Burgard

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013

Teaching mobile robots to cooperatively navigate in populated environments.

Markus Kuderer, Henrik Kretzschmar, Wolfram Burgard

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Deploying artificial landmarks to foster data association in simultaneous localization and mapping.

Maximilian Beinhofer, Henrik Kretzschmar, Wolfram Burgard

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Learning manipulation actions from a few demonstrations.

Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, Cyrill Stachniss

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Information-theoretic compression of pose graphs for laser-based SLAM.

Henrik Kretzschmar, Cyrill Stachniss

Int. J. Robotics Res., 2012

Feature-Based Prediction of Trajectories for Socially Compliant Navigation.

Markus Kuderer, Henrik Kretzschmar, Christoph Sprunk, Wolfram Burgard

Proceedings of the Robotics: Science and Systems VIII, 2012

2011

Pose Graph Compression for Laser-Based SLAM.

Cyrill Stachniss, Henrik Kretzschmar

Proceedings of the Robotics Research, 2011

Accurate human motion capture in large areas by combining IMU- and laser-based people tracking.

Jakob Ziegler, Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders.

Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010

Lifelong Map Learning for Graph-based SLAM in Static Environments.

Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stachniss

Künstliche Intell., 2010

2008

Estimating landmark locations from geo-referenced photographs.

Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008