Henrik Kretzschmar

38 papers A* 11A 6C 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2024 A* conf
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection.
ICRA
Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov
2023 A conf
Superpixel Transformers for Efficient Semantic Segmentation.
IROS
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
2023 J jnl
Superpixel Transformers for Efficient Semantic Segmentation.
CoRR
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
2022 A* conf
Block-NeRF: Scalable Large Scene Neural View Synthesis.
CVPR
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
2022 J jnl
Block-NeRF: Scalable Large Scene Neural View Synthesis.
CoRR
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar
2022 — conf
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection.
ECCV (38)
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany L. Chen, Dragomir Anguelov
2022 J jnl
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection.
CoRR
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany L. Chen, Dragomir Anguelov
2022 A* conf
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.
ICRA
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
2022 J jnl
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking.
CoRR
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
2022 J jnl
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting.
CoRR
Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov
2022 A conf
Instance Segmentation with Cross-Modal Consistency.
IROS
Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
2022 J jnl
Instance Segmentation with Cross-Modal Consistency.
CoRR
Alex Zihao Zhu, Vincent Casser, Reza Mahjourian, Henrik Kretzschmar, Sören Pirk
2022 J jnl
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection.
CoRR
Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov
2022 — conf
Waymo Open Dataset: Panoramic Video Panoptic Segmentation.
ECCV (29)
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar
2022 J jnl
Waymo Open Dataset: Panoramic Video Panoptic Segmentation.
CoRR
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov
2020 A* conf
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.
NeurIPS
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020 J jnl
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.
CoRR
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020 A* conf
Scalability in Perception for Autonomous Driving: Waymo Open Dataset.
CVPR
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
2020 J jnl
SoDA: Multi-Object Tracking with Soft Data Association.
CoRR
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
2020 A* conf
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving.
CVPR
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
2020 J jnl
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving.
CoRR
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
2019 J jnl
Scalability in Perception for Autonomous Driving: Waymo Open Dataset.
CoRR
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
2016 J jnl
Socially compliant mobile robot navigation via inverse reinforcement learning.
Int. J. Robotics Res.
Henrik Kretzschmar, Markus Spies, Christoph Sprunk, Wolfram Burgard
2014 J jnl
Identifying vegetation from laser data in structured outdoor environments.
Robotics Auton. Syst.
Kai M. Wurm, Henrik Kretzschmar, Rainer Kümmerle, Cyrill Stachniss, Wolfram Burgard
2014 — —
Learning probabilistic models for mobile robot navigation (Techniken zum maschinellen Lernen probabilistischer Modelle für die Navigation mit mobilen Robotern)
Henrik Kretzschmar
2014 A* conf
Learning to give route directions from human demonstrations.
ICRA
Stefan Oßwald, Henrik Kretzschmar, Wolfram Burgard, Cyrill Stachniss
2014 A* conf
Learning to predict trajectories of cooperatively navigating agents.
ICRA
Henrik Kretzschmar, Markus Kuderer, Wolfram Burgard
2014 A* conf
Online generation of homotopically distinct navigation paths.
ICRA
Markus Kuderer, Christoph Sprunk, Henrik Kretzschmar, Wolfram Burgard
2013 A* conf
Deploying artificial landmarks to foster data association in simultaneous localization and mapping.
ICRA
Maximilian Beinhofer, Henrik Kretzschmar, Wolfram Burgard
2013 A* conf
Learning manipulation actions from a few demonstrations.
ICRA
Nichola Abdo, Henrik Kretzschmar, Luciano Spinello, Cyrill Stachniss
2013 A conf
Teaching mobile robots to cooperatively navigate in populated environments.
IROS
Markus Kuderer, Henrik Kretzschmar, Wolfram Burgard
2012 — conf
Feature-Based Prediction of Trajectories for Socially Compliant Navigation.
Robotics: Science and Systems
Markus Kuderer, Henrik Kretzschmar, Christoph Sprunk, Wolfram Burgard
2012 J jnl
Information-theoretic compression of pose graphs for laser-based SLAM.
Int. J. Robotics Res.
Henrik Kretzschmar, Cyrill Stachniss
2011 A conf
Accurate human motion capture in large areas by combining IMU- and laser-based people tracking.
IROS
Jakob Ziegler, Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgard
2011 A conf
Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders.
IROS
Henrik Kretzschmar, Cyrill Stachniss, Giorgio Grisetti
2011 C conf
Pose Graph Compression for Laser-Based SLAM.
ISRR
Cyrill Stachniss, Henrik Kretzschmar
2010 J jnl
Lifelong Map Learning for Graph-based SLAM in Static Environments.
Künstliche Intell.
Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stachniss
2008 A conf
Estimating landmark locations from geo-referenced photographs.
IROS
Henrik Kretzschmar, Cyrill Stachniss, Christian Plagemann, Wolfram Burgard