Niko Snderhauf
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
11
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Multi-View Pose-Agnostic Change Localization with Zero Labels. | Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Snderhauf, Dimity Miller |
| 2025 | IROS | RMMI: Reactive Mobile Manipulation using an Implicit Neural Map. | Nicolas Marticorena, Tobias Fischer, Jesse Haviland, Niko Snderhauf |
| 2024 | CoRL | Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics. | Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Snderhauf |
| 2024 | CVPR | Human-in-the-Loop Segmentation of Multi-species Coral Imagery. | Scarlett Raine, Ross Marchant, Brano Kusy, Frdric Maire, Niko Snderhauf, Tobias Fischer |
| 2024 | ECCV | Open-Set Recognition in the Age of Vision-Language Models. | Dimity Miller, Niko Snderhauf, Alex Kenna, Keita Mason |
| 2024 | ICRA | RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. | Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Snderhauf, Feras Dayoub, Ian D. Reid |
| 2024 | ICRA | Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. | Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schlkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Bchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, Joo Silvrio, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Snderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martn-Martn, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin |
| 2024 | WACV | ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields. | Jad Abou-Chakra, Feras Dayoub, Niko Snderhauf |
| 2023 | CoRL | SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning. | Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Snderhauf |
| 2023 | ICCV | SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. | Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Snderhauf |
| 2023 | ICRA | Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. | Niko Snderhauf, Jad Abou-Chakra, Dimity Miller |
| 2023 | WACV | Hyperdimensional Feature Fusion for Out-of-Distribution Detection. | Samuel Wilson, Tobias Fischer, Niko Snderhauf, Feras Dayoub |
| 2022 | CoRL | Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. | Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Snderhauf |
| 2022 | IROS | Forest Traversability Mapping (FTM): Traversability estimation using 3D voxel-based Normal Distributed Transform to enable forest navigation. | Fabio Ruetz, Paulo Vinicius Koerich Borges, Niko Snderhauf, Emili Hernndez, Thierry Peynot |
| 2021 | CVPR | VarifocalNet: An IoU-Aware Dense Object Detector. | Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Snderhauf |
| 2021 | IROS | Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. | Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Snderhauf |
| 2021 | IROS | Online Monitoring of Object Detection Performance During Deployment. | Quazi Marufur Rahman, Niko Snderhauf, Feras Dayoub |
| 2021 | KI | Critic Guided Segmentation of Rewarding Objects in First-Person Views. | Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Snderhauf, Helge J. Ritter |
| 2021 | WACV | Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. | Dimity Miller, Niko Snderhauf, Michael Milford, Feras Dayoub |
| 2021 | WACV | Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment. | Quazi Marufur Rahman, Niko Snderhauf, Feras Dayoub |
| 2020 | ICRA | Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. | Krishan Rana, Ben Talbot, Vibhavari Dasagi, Michael Milford, Niko Snderhauf |
| 2020 | IROS | Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer. | Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Snderhauf |
| 2020 | WACV | Probabilistic Object Detection: Definition and Evaluation. | David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Snderhauf |
| 2019 | CVPR | Benchmarking Sampling-based Probabilistic Object Detectors. | Dimity Miller, Niko Snderhauf, Haoyang Zhang, David Hall, Feras Dayoub |
| 2019 | ICRA | Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. | Sourav Garg, Madhu Babu Vankadari, Thanuja Dharmasiri, Stephen Hausler, Niko Snderhauf, Swagat Kumar, Tom Drummond, Michael Milford |
| 2019 | ICRA | Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. | Dimity Miller, Feras Dayoub, Michael Milford, Niko Snderhauf |
| 2019 | IROS | Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. | Quazi Marufur Rahman, Niko Snderhauf, Feras Dayoub |
| 2019 | ISRR | What Can Robotics Research Learn from Computer Vision Research? | Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Snderhauf |
| 2018 | ACCV | Structure Aware SLAM Using Quadrics and Planes. | Mehdi Hosseinzadeh, Yasir Latif, Trung Pham, Niko Snderhauf, Ian D. Reid |
| 2018 | CoRL | Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. | Jake Bruce, Niko Snderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford |
| 2018 | CVPR | Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. | Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Snderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel |
| 2018 | CVPR | QuadricSLAM: Dual Quadrics As SLAM Landmarks. | Lachlan Nicholson, Michael Milford, Niko Snderhauf |
| 2018 | ICRA | Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition. | Sourav Garg, Niko Snderhauf, Michael Milford |
| 2018 | ICRA | Dropout Sampling for Robust Object Detection in Open-Set Conditions. | Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Snderhauf |
| 2018 | ICRA | SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. | Trung T. Pham, Thanh-Toan Do, Niko Snderhauf, Ian D. Reid |
| 2017 | CVPR | Episode-Based Active Learning with Bayesian Neural Networks. | Feras Dayoub, Niko Snderhauf, Peter I. Corke |
| 2017 | ICRA | Deep learning features at scale for visual place recognition. | Zetao Chen, Adam Jacobson, Niko Snderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford |
| 2017 | ICRA | The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research. | Jrgen Leitner, Adam W. Tow, Niko Snderhauf, Jake E. Dean, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher F. Lehnert, Ruben Mangels, Christopher McCool, Peter T. Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Liao Wu, Fangyi Zhang, Ben Upcroft, Peter I. Corke |
| 2017 | IROS | Meaningful maps with object-oriented semantic mapping. | Niko Snderhauf, Trung T. Pham, Yasir Latif, Michael Milford, Ian D. Reid |
| 2016 | IROS | High-fidelity simulation for evaluating robotic vision performance. | John Skinner, Sourav Garg, Niko Snderhauf, Peter I. Corke, Ben Upcroft, Michael Milford |
| 2016 | ICRA | Place categorization and semantic mapping on a mobile robot. | Niko Snderhauf, Feras Dayoub, Sean McMahon, Ben Talbot, Ruth Schulz, Peter I. Corke, Gordon F. Wyeth, Ben Upcroft, Michael Milford |
| 2015 | CVPR | Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. | Michael Milford, Stephanie M. Lowry, Niko Snderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid |
| 2015 | IROS | On the performance of ConvNet features for place recognition. | Niko Snderhauf, Sareh Shirazi, Feras Dayoub, Ben Upcroft, Michael Milford |
| 2015 | WACV | Evaluation of Features for Leaf Classification in Challenging Conditions. | David Hall, Chris McCool, Feras Dayoub, Niko Snderhauf, Ben Upcroft |
| 2013 | ICRA | Incremental smoothing vs. filtering for sensor fusion on an indoor UAV. | Sven Lange, Niko Snderhauf, Peter Protzel |
| 2013 | ICRA | Switchable constraints vs. max-mixture models vs. RRR - A comparison of three approaches to robust pose graph SLAM. | Niko Snderhauf, Peter Protzel |
| 2012 | IROS | Switchable constraints for robust pose graph SLAM. | Niko Snderhauf, Peter Protzel |
| 2012 | ICRA | Towards a robust back-end for pose graph SLAM. | Niko Snderhauf, Peter Protzel |
| 2011 | IROS | BRIEF-Gist - Closing the loop by simple means. | Niko Snderhauf, Peter Protzel |
| 2010 | ETFA | Beyond RatSLAM: Improvements to a biologically inspired SLAM system. | Niko Snderhauf, Peter Protzel |
| 2010 | IROS | The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM. | Niko Snderhauf, Peer Neubert, Peter Protzel |
| 2010 | KI | From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM. | Niko Snderhauf, Peter Protzel |
| 2006 | ICRA | Bringing Robotics closer to Students - a Threefold Approach. | Niko Snderhauf, Thomas Krause, Peter Protzel |
| 2005 | ICRA | RoboKing - Bringing Robotics closer to Pupils. | Niko Snderhauf, Thomas Krause, Peter Protzel |