Estimating landmark locations from geo-referenced photographs. - Henrik Kretzschmar; Cyrill Stachniss; Christian Plagemann; Wolfram Burgard (IROS, 2008)

Lifelong Map Learning for Graph-based SLAM in Static Environments. - Henrik Kretzschmar; Giorgio Grisetti; Cyrill Stachniss (Künstliche Intell., 2010)

Efficient information-theoretic graph pruning for graph-based SLAM with laser range finders. - Henrik Kretzschmar; Cyrill Stachniss; Giorgio Grisetti (IROS, 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 (IROS, 2011)

Pose Graph Compression for Laser-Based SLAM. - Cyrill Stachniss; Henrik Kretzschmar (ISRR, 2011)

Feature-Based Prediction of Trajectories for Socially Compliant Navigation. - Markus Kuderer; Henrik Kretzschmar; Christoph Sprunk; Wolfram Burgard (Robotics: Science and Systems, 2012)

Information-theoretic compression of pose graphs for laser-based SLAM. - Henrik Kretzschmar; Cyrill Stachniss (Int. J. Robotics Res., 2012)

Learning manipulation actions from a few demonstrations. - Nichola Abdo; Henrik Kretzschmar; Luciano Spinello; Cyrill Stachniss (ICRA, 2013)

Deploying artificial landmarks to foster data association in simultaneous localization and mapping. - Maximilian Beinhofer; Henrik Kretzschmar; Wolfram Burgard (ICRA, 2013)

Teaching mobile robots to cooperatively navigate in populated environments. - Markus Kuderer; Henrik Kretzschmar; Wolfram Burgard (IROS, 2013)

Learning to predict trajectories of cooperatively navigating agents. - Henrik Kretzschmar; Markus Kuderer; Wolfram Burgard (ICRA, 2014)

Online generation of homotopically distinct navigation paths. - Markus Kuderer; Christoph Sprunk; Henrik Kretzschmar; Wolfram Burgard (ICRA, 2014)

Learning to give route directions from human demonstrations. - Stefan Oßwald; Henrik Kretzschmar; Wolfram Burgard; Cyrill Stachniss (ICRA, 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 probabilistic models for mobile robot navigation (Techniken zum maschinellen Lernen probabilistischer Modelle für die Navigation mit mobilen Robotern) - Henrik Kretzschmar (2014)

Socially compliant mobile robot navigation via inverse reinforcement learning. - Henrik Kretzschmar; Markus Spies; Christoph Sprunk; Wolfram Burgard (Int. J. Robotics Res., 2016)

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 002; et al. (CVPR, 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 (CVPR, 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 (NeurIPS, 2020)

SoDA: Multi-Object Tracking with Soft Data Association. - Wei-Chih Hung; Henrik Kretzschmar; Tsung-Yi Lin; Yuning Chai; Ruichi Yu; Ming-Hsuan Yang 001; Dragomir Anguelov (CoRR, 2020)

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 (CVPR, 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 (ECCV (38), 2022)

Waymo Open Dataset: Panoramic Video Panoptic Segmentation. - Jieru Mei; Alex Zihao Zhu; Xinchen Yan; Hang Yan 002; Siyuan Qiao; Liang-Chieh Chen; Henrik Kretzschmar (ECCV (29), 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 002; Yurong You; Han Deng; et al. (ICRA, 2022)

Instance Segmentation with Cross-Modal Consistency. - Alex Zihao Zhu; Vincent Casser; Reza Mahjourian; Henrik Kretzschmar; Sören Pirk (IROS, 2022)

GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. - Zhao Chen; Vincent Casser; Henrik Kretzschmar; Dragomir Anguelov (CoRR, 2022)

Waymo Open Dataset: Panoramic Video Panoptic Segmentation. - Jieru Mei; Alex Zihao Zhu; Xinchen Yan; Hang Yan 002; Siyuan Qiao; Yukun Zhu; Liang-Chieh Chen; Henrik Kretzschmar; Dragomir Anguelov (CoRR, 2022)

Superpixel Transformers for Efficient Semantic Segmentation. - Alex Zihao Zhu; Jieru Mei; Siyuan Qiao; Hang Yan 002; Yukun Zhu; Liang-Chieh Chen; Henrik Kretzschmar (IROS, 2023)

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 (ICRA, 2024)