Niko Sünderhauf

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 125

Top Venues

CoRR

ICRA

IEEE Robotics Autom. Lett.

IROS

Publications

Scarlett Raine, Ross Marchant, Brano Kusy, Frédéric Maire, Niko Sünderhauf, Tobias Fischer
Human-in-the-Loop Segmentation of Multi-species Coral Imagery. CoRR (2024)
Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Sünderhauf, Feras Dayoub, Ian Reid
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. CoRR (2024)
Dimity Miller, Niko Sünderhauf, Alex Kenna, Keita Mason
Open-Set Recognition in the Age of Vision-Language Models. CoRR (2024)
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 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 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, 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
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA (2024)
Tjeard van Oort, Dimity Miller, Will N. Browne, Nicolas Marticorena, Jesse Haviland, Niko Sünderhauf
Open-Vocabulary Part-Based Grasping. CoRR (2024)
Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Sünderhauf, Feras Dayoub, Ian D. Reid
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. ICRA (2024)
Jad Abou-Chakra, Krishan Rana, Feras Dayoub, Niko Sünderhauf
Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics. CoRR (2024)
Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf
ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields. WACV (2024)
Samuel Wilson, Tobias Fischer, Niko Sünderhauf, Feras Dayoub
Hyperdimensional Feature Fusion for Out-of-Distribution Detection. WACV (2023)
Krishan Rana, Andrew Melnik, Niko Sünderhauf
Contrastive Language, Action, and State Pre-training for Robot Learning. CoRR (2023)
Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf
Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics. Int. J. Robotics Res. 42 (3) (2023)
Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. ICRA (2023)
Federico Ceola, Lorenzo Natale, Niko Sünderhauf, Krishan Rana
LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments. CoRR (2023)
David Pershouse, Feras Dayoub, Dimity Miller, Niko Sünderhauf
Addressing the Challenges of Open-World Object Detection. CoRR (2023)
Adam K. Taras, Niko Sünderhauf, Peter Corke, Donald G. Dansereau
The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems. CoRR (2023)
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning. CoRL (2023)
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning. CoRL (2023)
Krishan Rana, Jesse Haviland, Sourav Garg, Jad Abou-Chakra, Ian D. Reid, Niko Sünderhauf
SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning. CoRR (2023)
Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. ICCV (2023)
Sourav Garg, Niko Sünderhauf, Michael Milford
Semantic-geometric visual place recognition: a new perspective for reconciling opposing views. Int. J. Robotics Res. 41 (6) (2022)
Niko Sünderhauf, Jad Abou-Chakra, Dimity Miller
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields. CoRR (2022)
Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf
ParticleNeRF: Particle Based Encoding for Online Neural Radiance Fields in Dynamic Scenes. CoRR (2022)
David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf
BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research. Int. J. Robotics Res. 41 (3) (2022)
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
Retrospectives on the Embodied AI Workshop. CoRR (2022)
Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. CoRL (2022)
Samuel Wilson, Tobias Fischer, Feras Dayoub, Niko Sünderhauf
Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers. CoRR (2022)
Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub
FSNet: A Failure Detection Framework for Semantic Segmentation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Fabio Ruetz, Paulo Vinicius Koerich Borges, Niko Sünderhauf, Emili Hernández, Thierry Peynot
Forest Traversability Mapping (FTM): Traversability estimation using 3D voxel-based Normal Distributed Transform to enable forest navigation. IROS (2022)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. IEEE Robotics Autom. Lett. 7 (1) (2022)
Jesse Haviland, Niko Sünderhauf, Peter Corke
A Holistic Approach to Reactive Mobile Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf
Implicit Object Mapping With Noisy Data. CoRR (2022)
Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics. CoRR (2022)
Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter
Critic Guided Segmentation of Rewarding Objects in First-Person Views. KI (2021)
Samuel Wilson, Niko Sünderhauf, Feras Dayoub
Hyperdimensional Feature Fusion for Out-Of-Distribution Detection. CoRR (2021)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. WACV (2021)
Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub
FSNet: A Failure Detection Framework for Semantic Segmentation. CoRR (2021)
Ming Xu, Niko Sünderhauf, Michael Milford
Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization". IEEE Robotics Autom. Lett. 6 (3) (2021)
Ming Xu, Niko Sünderhauf, Michael Milford
Probabilistic Visual Place Recognition for Hierarchical Localization. CoRR (2021)
Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics. CoRR (2021)
Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots. CoRR (2021)
Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness. CoRR (2021)
Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. IROS (2021)
Jesse Haviland, Niko Sünderhauf, Peter Corke
A Holistic Approach to Reactive Mobile Manipulation. CoRR (2021)
Ming Xu, Niko Sünderhauf, Michael Milford
Probabilistic Visual Place Recognition for Hierarchical Localization. IEEE Robotics Autom. Lett. 6 (1) (2021)
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
Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR (2021)
Andrew Melnik, Augustin Harter, Christian Limberg, Krishan Rana, Niko Sünderhauf, Helge J. Ritter
Critic Guided Segmentation of Rewarding Objects in First-Person Views. CoRR (2021)
Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
Online Monitoring of Object Detection Performance During Deployment. IROS (2021)
Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
VarifocalNet: An IoU-Aware Dense Object Detector. CVPR (2021)
Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment. WACV (Workshops) (2021)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Uncertainty for Identifying Open-Set Errors in Visual Object Detection. CoRR (2021)
Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. CoRR (2021)
Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness. IEEE Robotics Autom. Lett. 6 (4) (2021)
David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf
Probabilistic Object Detection: Definition and Evaluation. WACV (2020)
Anelia Angelova, Gustavo Carneiro, Niko Sünderhauf, Jürgen Leitner
Special Issue on Deep Learning for Robotic Vision. Int. J. Comput. Vis. 128 (5) (2020)
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
Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics 8 (1-2) (2020)
Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf
Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments. CoRR (2020)
Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
Online Monitoring of Object Detection Performance Post-Deployment. CoRR (2020)
Krishan Rana, Ben Talbot, Vibhavari Dasagi, Michael Milford, Niko Sünderhauf
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. ICRA (2020)
Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
SWA Object Detection. CoRR (2020)
Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf
VarifocalNet: An IoU-aware Dense Object Detector. CoRR (2020)
Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
Performance Monitoring of Object Detection During Deployment. CoRR (2020)
Krishan Rana, Vibhavari Dasagi, Ben Talbot, Michael Milford, Niko Sünderhauf
Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer. IROS (2020)
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. CoRR (2020)
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
What can robotics research learn from computer vision research? CoRR (2020)
David Hall, Ben Talbot, Suman Raj Bista, Haoyang Zhang, Rohan Smith, Feras Dayoub, Niko Sünderhauf
The Robotic Vision Scene Understanding Challenge. CoRR (2020)
Ben Talbot, David Hall, Haoyang Zhang, Suman Raj Bista, Rohan Smith, Feras Dayoub, Niko Sünderhauf
BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots. CoRR (2020)
John Skinner, David Hall, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf
The Probabilistic Object Detection Challenge. CoRR (2019)
Leo Stanislas, Julian Nubert, Daniel Dugas, Julia Nitsch, Niko Sünderhauf, Roland Siegwart, César Cadena, Thierry Peynot
Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning. FSR (2019)
Krishan Rana, Ben Talbot, Michael Milford, Niko Sünderhauf
Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments. CoRR (2019)
Lachlan Nicholson, Michael Milford, Niko Sünderhauf
QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM. IEEE Robotics Autom. Lett. 4 (1) (2019)
Sourav Garg, V. Madhu Babu, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. CoRR (2019)
Dimity Miller, Niko Sünderhauf, Haoyang Zhang, David Hall, Feras Dayoub
Benchmarking Sampling-based Probabilistic Object Detectors. CVPR Workshops (2019)
Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. ICRA (2019)
Niko Sünderhauf
Where are the Keys? - Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks. CoRR (2019)
Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. IROS (2019)
Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. CoRR (2019)
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
What Can Robotics Research Learn from Computer Vision Research? ISRR (2019)
Sourav Garg, Madhu Babu Vankadari, Thanuja Dharmasiri, Stephen Hausler, Niko Sünderhauf, Swagat Kumar, Tom Drummond, Michael Milford
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. ICRA (2019)
Niko Sünderhauf, Feras Dayoub, David Hall, John Skinner, Haoyang Zhang, Gustavo Carneiro, Peter Corke
A probabilistic challenge for object detection. Nat. Mach. Intell. 1 (9) (2019)
David Hall, Feras Dayoub, John Skinner, Peter Corke, Gustavo Carneiro, Niko Sünderhauf
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. CoRR (2018)
Sourav Garg, Niko Sünderhauf, Michael Milford
Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition. ICRA (2018)
Sean McMahon, Niko Sünderhauf, Ben Upcroft, Michael Milford
Multimodal Trip Hazard Affordance Detection on Construction Sites. IEEE Robotics Autom. Lett. 3 (1) (2018)
Sourav Garg, Niko Sünderhauf, Michael Milford
Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition. CoRR (2018)
Sourav Garg, Niko Sünderhauf, Michael Milford
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics. CoRR (2018)
Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. CoRR (2018)
Mehdi Hosseinzadeh, Yasir Latif, Trung Pham, Niko Sünderhauf, Ian D. Reid
Structure Aware SLAM Using Quadrics and Planes. ACCV (3) (2018)
Mehdi Hosseinzadeh, Yasir Latif, Trung Pham, Niko Sünderhauf, Ian D. Reid
Towards Semantic SLAM: Points, Planes and Objects. CoRR (2018)
Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
Dropout Sampling for Robust Object Detection in Open-Set Conditions. ICRA (2018)
Robert Lee, Serena Mou, Vibhavari Dasagi, Jake Bruce, Jürgen Leitner, Niko Sünderhauf
Zero-shot Sim-to-Real Transfer with Modular Priors. CoRR (2018)
Lachlan Nicholson, Michael Milford, Niko Sünderhauf
QuadricSLAM: Constrained Dual Quadrics from Object Detections as Landmarks in Semantic SLAM. CoRR (2018)
Niko Sünderhauf, Jürgen Leitner, Ben Upcroft, Nicholas Roy
Special issue on deep learning in robotics. Int. J. Robotics Res. 37 (4-5) (2018)
Natalie Jablonsky, Michael Milford, Niko Sünderhauf
An Orientation Factor for Object-Oriented SLAM. CoRR (2018)
Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
The Limits and Potentials of Deep Learning for Robotics. CoRR (2018)
Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRR (2018)
Jake Bruce, Niko Sünderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. CoRL (2018)
Lachlan Nicholson, Michael Milford, Niko Sünderhauf
QuadricSLAM: Dual Quadrics As SLAM Landmarks. CVPR Workshops (2018)
Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke
The limits and potentials of deep learning for robotics. Int. J. Robotics Res. 37 (4-5) (2018)
Sourav Garg, Niko Sünderhauf, Michael Milford
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics. Robotics: Science and Systems (2018)
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, Anton van den Hengel
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments. CVPR (2018)
Trung T. Pham, Thanh-Toan Do, Niko Sünderhauf, Ian D. Reid
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes. ICRA (2018)

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Publication Activity (10 Years)

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Niko Sünderhauf