Niko Sünderhauf

160 papers A* 21A 17B 2C 2Misc 6Journal 93Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis. CoRR Chamuditha Jayanga Galappaththige, Thomas Gottwald, Peter Stehr, Edgar Heinert, Niko Sünderhauf, Dimity Miller, Matthias Rottmann
2025	J	`jnl`	Changes in Real Time: Online Scene Change Detection with Multi-View Fusion. CoRR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2025	J	`jnl`	IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation. CoRR Krishan Rana, Robert Lee, David Pershouse, Niko Sünderhauf
2025	A*	`conf`	Multi-View Pose-Agnostic Change Localization with Zero Labels. CVPR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2025	A	`conf`	RMMI: Reactive Mobile Manipulation using an Implicit Neural Map. IROS Nicolas Marticorena, Tobias Fischer, Jesse Haviland, Niko Sünderhauf
2025	J	`jnl`	ReMoSPLAT: Reactive Mobile Manipulation Control on a Gaussian Splat. CoRR Nicolas Marticorena, Tobias Fischer, Niko Sünderhauf
2024	J	`jnl`	Affordance-Centric Policy Learning: Sample Efficient and Generalisable Robot Policy Learning using Affordance-Centric Task Frames. CoRR Krishan Rana, Jad Abou-Chakra, Sourav Garg, Robert Lee, Ian D. Reid, Niko Sünderhauf
2024	—	`conf`	Human-in-the-Loop Segmentation of Multi-species Coral Imagery. CVPR Workshops Scarlett Raine, Ross Marchant, Brano Kusy, Frédéric Maire, Niko Sünderhauf, Tobias Fischer
2024	J	`jnl`	Human-in-the-Loop Segmentation of Multi-species Coral Imagery. CoRR Scarlett Raine, Ross Marchant, Brano Kusy, Frédéric Maire, Niko Sünderhauf, Tobias Fischer
2024	J	`jnl`	Multi-Modal 3D Scene Graph Updater for Shared and Dynamic Environments. CoRR Emilio Olivastri, Jonathan Francis, Alberto Pretto, Niko Sünderhauf, Krishan Rana
2024	J	`jnl`	Multi-View Pose-Agnostic Change Localization with Zero Labels. CoRR Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim, Donald G. Dansereau, Niko Sünderhauf, Dimity Miller
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 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 Schölkopf, 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 Büchler, 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, João Silvério, 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 Sünderhauf, 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 Martín-Martín, 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	—	`conf`	Open-Set Recognition in the Age of Vision-Language Models. ECCV (42) Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason
2024	J	`jnl`	Open-Set Recognition in the Age of Vision-Language Models. CoRR Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason
2024	J	`jnl`	Open-Vocabulary Part-Based Grasping. CoRR Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf
2024	A	`conf`	ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields. WACV Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf
2024	J	`jnl`	Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics. CoRR Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Sünderhauf
2024	Misc	`conf`	Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics. CoRL Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Sünderhauf
2024	J	`jnl`	RMMI: Enhanced Obstacle Avoidance for Reactive Mobile Manipulation using an Implicit Neural Map. CoRR Nicolas Marticorena, Tobias Fischer, Jesse Haviland, Niko Sünderhauf
2024	J	`jnl`	Reducing Label Dependency for Underwater Scene Understanding: A Survey of Datasets, Techniques and Applications. CoRR Scarlett Raine, Frédéric Maire, Niko Sünderhauf, Tobias Fischer
2024	A*	`conf`	RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. ICRA Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Sünderhauf, Feras Dayoub, Ian D. Reid
2024	J	`jnl`	RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. CoRR Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Sünderhauf, Feras Dayoub, Ian Reid
2023	J	`jnl`	Addressing the Challenges of Open-World Object Detection. CoRR David Pershouse, Feras Dayoub, Dimity Miller, Niko Sünderhauf
2023	J	`jnl`	Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics. Int. J. Robotics Res. Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf
2023	J	`jnl`	Contrastive Language, Action, and State Pre-training for Robot Learning. CoRR Krishan Rana, Andrew Melnik, Niko Sünderhauf
2023	A*	`conf`	Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. ICRA Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
2023	A	`conf`	Hyperdimensional Feature Fusion for Out-of-Distribution Detection. WACV Samuel Wilson, Tobias Fischer, Niko Sünderhauf, Feras Dayoub
2023	J	`jnl`	LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments. CoRR Federico Ceola, Lorenzo Natale, Niko Sünderhauf, Krishan Rana
2023	A*	`conf`	SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. ICCV Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf
2023	Misc	`conf`	SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning. CoRL Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf
2023	J	`jnl`	SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning. CoRR Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf
2023	—	`book`	Switchable Constraints for Robust Simultaneous Localization and Mapping and Satellite-Based Localization Niko Sünderhauf
2023	J	`jnl`	The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems. CoRR Adam K. Taras, Niko Sünderhauf, Peter Corke, Donald G. Dansereau
2022	J	`jnl`	A Holistic Approach to Reactive Mobile Manipulation. IEEE Robotics Autom. Lett. Jesse Haviland, Niko Sünderhauf, Peter Corke
2022	J	`jnl`	BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research. Int. J. Robotics Res. David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf
2022	J	`jnl`	Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. CoRR Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
2022	J	`jnl`	FSNet: A Failure Detection Framework for Semantic Segmentation. IEEE Robotics Autom. Lett. Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub
2022	A	`conf`	Forest Traversability Mapping (FTM): Traversability estimation using 3D voxel-based Normal Distributed Transform to enable forest navigation. IROS Fabio Ruetz, Paulo Vinicius Koerich Borges, Niko Sünderhauf, Emili Hernández, Thierry Peynot
2022	J	`jnl`	Implicit Object Mapping With Noisy Data. CoRR Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf
2022	J	`jnl`	Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers. CoRR Samuel Wilson, Tobias Fischer, Feras Dayoub, Niko Sünderhauf
2022	J	`jnl`	ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes. CoRR Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf
2022	Misc	`conf`	Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. CoRL Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf
2022	J	`jnl`	Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. CoRR Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf
2022	J	`jnl`	Retrospectives on the Embodied AI Workshop. CoRR Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu
2022	J	`jnl`	Semantic-geometric visual place recognition: a new perspective for reconciling opposing views. Int. J. Robotics Res. Sourav Garg, Niko Sünderhauf, Michael Milford
2022	J	`jnl`	Uncertainty for Identifying Open-Set Errors in Visual Object Detection. IEEE Robotics Autom. Lett. Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2021	J	`jnl`	A Holistic Approach to Reactive Mobile Manipulation. CoRR Jesse Haviland, Niko Sünderhauf, Peter Corke
2021	J	`jnl`	Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics. CoRR Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf
2021	A	`conf`	Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. WACV Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2021	J	`jnl`	Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization". IEEE Robotics Autom. Lett. Ming Xu, Niko Sünderhauf, Michael Milford
2021	Misc	`conf`	Critic Guided Segmentation of Rewarding Objects in First-Person Views. KI Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter
2021	J	`jnl`	Critic Guided Segmentation of Rewarding Objects in First-Person Views. CoRR Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter
2021	A	`conf`	Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. IROS Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
2021	J	`jnl`	Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. CoRR Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
2021	J	`jnl`	FSNet: A Failure Detection Framework for Semantic Segmentation. CoRR Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub
2021	J	`jnl`	Hyperdimensional Feature Fusion for Out-Of-Distribution Detection. CoRR Samuel Wilson, Niko Sünderhauf, Feras Dayoub
2021	A	`conf`	Online Monitoring of Object Detection Performance During Deployment. IROS Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
2021	—	`conf`	Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment. WACV (Workshops) Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
2021	J	`jnl`	Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness. IEEE Robotics Autom. Lett. Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
2021	J	`jnl`	Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness. CoRR Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
2021	J	`jnl`	Probabilistic Visual Place Recognition for Hierarchical Localization. CoRR Ming Xu, Niko Sünderhauf, Michael Milford
2021	J	`jnl`	Probabilistic Visual Place Recognition for Hierarchical Localization. IEEE Robotics Autom. Lett. Ming Xu, Niko Sünderhauf, Michael Milford
2021	J	`jnl`	Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford
2021	J	`jnl`	Uncertainty for Identifying Open-Set Errors in Visual Object Detection. CoRR Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2021	A*	`conf`	VarifocalNet: An IoU-Aware Dense Object Detector. CVPR Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
2021	J	`jnl`	Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots. CoRR Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf
2020	J	`jnl`	BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots. CoRR Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, Niko Sünderhauf
2020	J	`jnl`	Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. CoRR Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
2020	J	`jnl`	Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments. CoRR Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf
2020	A	`conf`	Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer. IROS Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf
2020	J	`jnl`	Online Monitoring of Object Detection Performance Post-Deployment. CoRR Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
2020	J	`jnl`	Performance Monitoring of Object Detection During Deployment. CoRR Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
2020	A	`conf`	Probabilistic Object Detection: Definition and Evaluation. WACV David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
2020	A*	`conf`	Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. ICRA Krishan Rana, Ben Talbot, Vibhavari Dasagi, Michael Milford, Niko Sünderhauf
2020	J	`jnl`	SWA Object Detection. CoRR Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
2020	J	`jnl`	Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford
2020	J	`jnl`	Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner
2020	J	`jnl`	The Robotic Vision Scene Understanding Challenge. CoRR David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf
2020	J	`jnl`	VarifocalNet: An IoU-aware Dense Object Detector. CoRR Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
2020	J	`jnl`	What can robotics research learn from computer vision research? CoRR Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
2019	J	`jnl`	A probabilistic challenge for object detection. Nat. Mach. Intell. Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke
2019	—	`conf`	Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning. FSR Leo Stanislas, Julian Nubert, Daniel Dugas, Julia Nitsch, Niko Sünderhauf, Roland Siegwart, César Cadena, Thierry Peynot
2019	—	`conf`	Benchmarking Sampling-based Probabilistic Object Detectors. CVPR Workshops Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub
2019	A	`conf`	Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. IROS Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
2019	J	`jnl`	Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. CoRR Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
2019	A*	`conf`	Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. ICRA Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
2019	A*	`conf`	Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. ICRA Sourav Garg, Madhu Babu Vankadari, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford
2019	J	`jnl`	Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. CoRR Sourav Garg, V. Madhu Babu, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford
2019	J	`jnl`	QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM. IEEE Robotics Autom. Lett. Lachlan Nicholson, Michael Milford, Niko Sünderhauf
2019	J	`jnl`	Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. CoRR Krishan Rana, Ben Talbot, Michael Milford, Niko Sünderhauf
2019	J	`jnl`	The Probabilistic Object Detection Challenge. CoRR John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
2019	C	`conf`	What Can Robotics Research Learn from Computer Vision Research? ISRR Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
2019	J	`jnl`	Where are the Keys? - Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks. CoRR Niko Sünderhauf
2018	J	`jnl`	An Orientation Factor for Object-Oriented SLAM. CoRR Natalie Jablonsky, Michael Milford, Niko Sünderhauf
2018	A*	`conf`	Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition. ICRA Sourav Garg, Niko Sünderhauf, Michael Milford
2018	J	`jnl`	Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition. CoRR Sourav Garg, Niko Sünderhauf, Michael Milford
2018	A*	`conf`	Dropout Sampling for Robust Object Detection in Open-Set Conditions. ICRA Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
2018	J	`jnl`	Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. CoRR Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
2018	Misc	`conf`	Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRL Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
2018	J	`jnl`	Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRR Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
2018	—	`conf`	LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics. Robotics: Science and Systems Sourav Garg, Niko Sünderhauf, Michael Milford
2018	J	`jnl`	LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics. CoRR Sourav Garg, Niko Sünderhauf, Michael Milford
2018	J	`jnl`	Multimodal Trip Hazard Affordance Detection on Construction Sites. IEEE Robotics Autom. Lett. Sean Mcmahon, Niko Sünderhauf, Ben Upcroft, Michael Milford
2018	J	`jnl`	Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf
2018	J	`jnl`	QuadricSLAM: Constrained Dual Quadrics from Object Detections as Landmarks in Semantic SLAM. CoRR Lachlan Nicholson, Michael Milford, Niko Sünderhauf
2018	—	`conf`	QuadricSLAM: Dual Quadrics As SLAM Landmarks. CVPR Workshops Lachlan Nicholson, Michael Milford, Niko Sünderhauf
2018	A*	`conf`	SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. ICRA Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid
2018	J	`jnl`	Special issue on deep learning in robotics. Int. J. Robotics Res. Niko Sünderhauf, Jürgen Leitner, Ben Upcroft, Nicholas Roy
2018	—	`conf`	Structure Aware SLAM Using Quadrics and Planes. ACCV (3) Mehdi Hosseinzadeh, Yasir Latif, Trung Pham, Niko Sünderhauf, Ian D. Reid
2018	J	`jnl`	The Limits and Potentials of Deep Learning for Robotics. CoRR Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
2018	J	`jnl`	The limits and potentials of deep learning for robotics. Int. J. Robotics Res. Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
2018	J	`jnl`	Towards Semantic SLAM: Points, Planes and Objects. CoRR Mehdi Hosseinzadeh, Yasir Latif, Trung Pham, Niko Sünderhauf, Ian D. Reid
2018	A*	`conf`	Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel
2018	J	`jnl`	Zero-shot Sim-to-Real Transfer with Modular Priors. CoRR Robert Lee, Serena Mou, Vibhavari Dasagi, Jake Bruce, Jürgen Leitner, Niko Sünderhauf
2017	J	`jnl`	Deep Learning Features at Scale for Visual Place Recognition. CoRR Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford
2017	A*	`conf`	Deep learning features at scale for visual place recognition. ICRA Zetao Chen, Adam Jacobson, Niko Sünderhauf, Ben Upcroft, Lingqiao Liu, Chunhua Shen, Ian D. Reid, Michael Milford
2017	J	`jnl`	Dropout Sampling for Robust Object Detection in Open-Set Conditions. CoRR Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
2017	J	`jnl`	Dual Quadrics from Object Detection BoundingBoxes as Landmark Representations in SLAM. CoRR Niko Sünderhauf, Michael Milford
2017	—	`conf`	Episode-Based Active Learning with Bayesian Neural Networks. CVPR Workshops Feras Dayoub, Niko Sünderhauf, Peter I. Corke
2017	J	`jnl`	Episode-Based Active Learning with Bayesian Neural Networks. CoRR Feras Dayoub, Niko Sünderhauf, Peter I. Corke
2017	A	`conf`	Meaningful maps with object-oriented semantic mapping. IROS Niko Sünderhauf, Trung T. Pham, Yasir Latif, Michael Milford, Ian D. Reid
2017	J	`jnl`	Multi-Modal Trip Hazard Affordance Detection On Construction Sites. CoRR Sean Mcmahon, Niko Sünderhauf, Ben Upcroft, Michael Milford
2017	J	`jnl`	One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay. CoRR Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
2017	J	`jnl`	SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. CoRR Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid
2017	A*	`conf`	The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research. ICRA Jürgen Leitner, Adam W. Tow, Niko Sünderhauf, 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	J	`jnl`	Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments. CoRR Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel
2017	J	`jnl`	What Would You Do? Acting by Learning to Predict. CoRR Adam W. Tow, Niko Sünderhauf, Sareh Shirazi, Michael Milford, Jürgen Leitner
2016	A	`conf`	High-fidelity simulation for evaluating robotic vision performance. IROS John Skinner, Sourav Garg, Niko Sünderhauf, Peter I. Corke, Ben Upcroft, Michael Milford
2016	J	`jnl`	Meaningful Maps - Object-Oriented Semantic Mapping. CoRR Niko Sünderhauf, Trung-Thanh Pham, Yasir Latif, Michael Milford, Ian D. Reid
2016	A*	`conf`	Place categorization and semantic mapping on a mobile robot. ICRA Niko Sünderhauf, Feras Dayoub, Sean Mcmahon, Ben Talbot, Ruth Schulz, Peter I. Corke, Gordon F. Wyeth, Ben Upcroft, Michael Milford
2016	J	`jnl`	The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research. CoRR Jürgen Leitner, Adam W. Tow, Jake E. Dean, Niko Sünderhauf, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher F. Lehnert, Ruben Mangels, Christopher McCool, Peter Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Fangyi Zhang, Ben Upcroft, Peter I. Corke
2016	J	`jnl`	Visual Place Recognition: A Survey. IEEE Trans. Robotics Stephanie M. Lowry, Niko Sünderhauf, Paul Newman, John J. Leonard, David D. Cox, Peter I. Corke, Michael J. Milford
2015	A	`conf`	Evaluation of Features for Leaf Classification in Challenging Conditions. WACV David Hall, Chris McCool, Feras Dayoub, Niko Sünderhauf, Ben Upcroft
2015	J	`jnl`	On the Performance of ConvNet Features for Place Recognition. CoRR Niko Sünderhauf, Feras Dayoub, Sareh Shirazi, Ben Upcroft, Michael Milford
2015	A	`conf`	On the performance of ConvNet features for place recognition. IROS Niko Sünderhauf, Sareh Shirazi, Feras Dayoub, Ben Upcroft, Michael Milford
2015	J	`jnl`	Place Categorization and Semantic Mapping on a Mobile Robot. CoRR Niko Sünderhauf, Feras Dayoub, Sean Mcmahon, Ben Talbot, Ruth Schulz, Peter I. Corke, Gordon F. Wyeth, Ben Upcroft, Michael Milford
2015	—	`conf`	Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free. Robotics: Science and Systems Niko Sünderhauf, Sareh Shirazi, Adam Jacobson, Feras Dayoub, Edward Pepperell, Ben Upcroft, Michael Milford
2015	—	`conf`	Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition. CVPR Workshops Michael Milford, Stephanie M. Lowry, Niko Sünderhauf, Sareh Shirazi, Edward Pepperell, Ben Upcroft, Chunhua Shen, Guosheng Lin, Fayao Liu, Cesar Cadena, Ian D. Reid
2015	J	`jnl`	Superpixel-based appearance change prediction for long-term navigation across seasons. Robotics Auton. Syst. Peer Neubert, Niko Sünderhauf, Peter Protzel
2014	—	`conf`	Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction. CLEF (Working Notes) Niko Sünderhauf, Chris McCool, Ben Upcroft, Tristan Perez
2014	J	`jnl`	Proceedings of the 1st Workshop on Robotics Challenges and Vision (RCV2013). CoRR Aitor Aladren, Sasa Bodiroza, Hamid Reza Chitsaz, J. J. Guerrero, Verena V. Hafner, Kris K. Hauser, Aleksandar Jevtic, Moslem Kazemi, Bruno Lara, Gonzalo López-Nicolás, Peer Neubert, Peter Protzel, Laurel D. Riek, Niko Sünderhauf, Chee Yap
2013	—	`conf`	Appearance change prediction for long-term navigation across seasons. ECMR Peer Neubert, Niko Sünderhauf, Peter Protzel
2013	A*	`conf`	Incremental smoothing vs. filtering for sensor fusion on an indoor UAV. ICRA Sven Lange, Niko Sünderhauf, Peter Protzel
2013	B	`conf`	Switchable constraints and incremental smoothing for online mitigation of non-line-of-sight and multipath effects. Intelligent Vehicles Symposium Niko Sünderhauf, Marcus Obst, Sven Lange, Gerd Wanielik, Peter Protzel
2013	A*	`conf`	Switchable constraints vs. max-mixture models vs. RRR - A comparison of three approaches to robust pose graph SLAM. ICRA Niko Sünderhauf, Peter Protzel
2012	—	`conf`	From Saliency Based Image Features Towards Semantic Mapping. ROBOTIK Peer Neubert, Niko Sünderhauf, Peter Protzel
2012	B	`conf`	Multipath mitigation in GNSS-based localization using robust optimization. Intelligent Vehicles Symposium Niko Sünderhauf, Marcus Obst, Gerd Wanielik, Peter Protzel
2012	A	`conf`	Switchable constraints for robust pose graph SLAM. IROS Niko Sünderhauf, Peter Protzel
2012	A*	`conf`	Towards a robust back-end for pose graph SLAM. ICRA Niko Sünderhauf, Peter Protzel
2012	—	`conf`	Towards robust graphical models for GNSS-based localization in urban environments. SSD Niko Sünderhauf, Peter Protzel
2011	A	`conf`	BRIEF-Gist - Closing the loop by simple means. IROS Niko Sünderhauf, Peter Protzel
2010	C	`conf`	Beyond RatSLAM: Improvements to a biologically inspired SLAM system. ETFA Niko Sünderhauf, Peter Protzel
2010	Misc	`conf`	From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM. KI Niko Sünderhauf, Peter Protzel
2010	J	`jnl`	Learning from Nature: Biologically Inspired Robot Navigation and SLAM - A Review. Künstliche Intell. Niko Sünderhauf, Peter Protzel
2010	A	`conf`	The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM. IROS Niko Sünderhauf, Peer Neubert, Peter Protzel
2009	—	`conf`	A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments. ICAR Sven Lange, Niko Sünderhauf, Peter Protzel
2009	—	`conf`	Using image profiles and integral images for efficient calculation of sparse optical flow fields. ICAR Niko Sünderhauf, Peter Protzel
2006	A*	`conf`	Bringing Robotics closer to Students - a Threefold Approach. ICRA Niko Sünderhauf, Thomas Krause, Peter Protzel
2005	A*	`conf`	RoboKing - Bringing Robotics closer to Pupils. ICRA Niko Sünderhauf, Thomas Krause, Peter Protzel
2005	—	`conf`	Visual Odometry Using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle. AMS Niko Sünderhauf, Kurt Konolige, Simon Lacroix, Peter Protzel