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Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers


Aug 29, 2022
Samuel Wilson, Tobias Fischer, Feras Dayoub, Niko Sünderhauf


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Implicit Object Mapping With Noisy Data


Apr 22, 2022
Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf


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Hyperdimensional Feature Fusion for Out-Of-Distribution Detection


Dec 10, 2021
Samuel Wilson, Niko Sünderhauf, Feras Dayoub


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Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM


Sep 16, 2021
Suman Raj Bista, David Hall, Ben Talbot, Haoyang Zhang, Feras Dayoub, Niko Sünderhauf

* Paper accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 

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FSNet: A Failure Detection Framework for Semantic Segmentation


Aug 19, 2021
Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub


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Going Deeper into Semi-supervised Person Re-identification


Jul 24, 2021
Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh


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Uncertainty for Identifying Open-Set Errors in Visual Object Detection


Apr 03, 2021
Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub


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Semi-supervised Keypoint Localization


Jan 20, 2021
Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

* accepted to ICLR 2021 

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Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends


Jan 05, 2021
Quazi Marufur Rahman, Peter Corke, Feras Dayoub


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Semantics for Robotic Mapping, Perception and Interaction: A Survey


Jan 02, 2021
Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian Reid, Stephen Gould, Peter Corke, Michael Milford

* Foundations and Trends in Robotics: Vol. 8: No. 1-2, pp 1-224 (2020) 
* 81 pages, 1 figure, published in Foundations and Trends in Robotics, 2020 

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