Feras Dayoub

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 90

Top Venues

Publications

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)
Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. AAAI (2024)
Jiajun Deng, Sha Zhang, Feras Dayoub, Wanli Ouyang, Yanyong Zhang, Ian Reid
PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest. CoRR (2024)
Benoit Clement, Marie Dubromel, Paulo E. Santos, Karl Sammut, Michelle Oppert, Feras Dayoub
Hybrid Navigation Acceptability and Safety. 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)
Dong Yuan, Frédéric Maire, Feras Dayoub
Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization. WACV (2024)
Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Chris Lehnert
Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory. CoRR (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)
Prakash Mallick, Feras Dayoub, Jamie Sherrah
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection. CoRR (2024)
Samuel Wilson, Tobias Fischer, Niko Sünderhauf, Feras Dayoub
Hyperdimensional Feature Fusion for Out-of-Distribution Detection. WACV (2023)
Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen
Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. CoRR (2023)
David Pershouse, Feras Dayoub, Dimity Miller, Niko Sünderhauf
Addressing the Challenges of Open-World Object Detection. CoRR (2023)
Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. CoRR (2023)
Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin
Federated Neural Radiance Fields. CoRR (2023)
Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. ICCV (2023)
Nicolas Harvey Chapman, Feras Dayoub, Will Browne, Christopher F. Lehnert
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. CoRR (2023)
Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. IEEE Robotics Autom. Lett. 8 (8) (2023)
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)
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)
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)
Jad Abou-Chakra, Feras Dayoub, Niko Sünderhauf
Implicit Object Mapping With Noisy Data. CoRR (2022)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Semi-supervised Keypoint Localization. CoRR (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)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Going Deeper into Semi-supervised Person Re-identification. 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)
Quazi Marufur Rahman, Peter Corke, Feras Dayoub
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. IEEE Access 9 (2021)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Semi-supervised Keypoint Localization. ICLR (2021)
Quazi Marufur Rahman, Peter Corke, Feras Dayoub
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. CoRR (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)
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)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. WACV (2021)
Ben Talbot, Feras Dayoub, Peter Corke, Gordon F. Wyeth
Robot Navigation in Unseen Spaces Using an Abstract Map. IEEE Trans. Cogn. Dev. Syst. 13 (4) (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)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Asia O. Armstrong, Mahsa Baktashmotlagh
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. DICTA (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)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Learning Landmark Guided Embeddings for Animal Re-identification. WACV Workshops (2020)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. CoRR (2020)
Bilal Arain, Feras Dayoub, Paul Rigby, Matthew Dunbabin
Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation. CoRR (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)
Jesse Haviland, Feras Dayoub, Peter Corke
Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing. CoRR (2020)
Quazi Marufur Rahman, Niko Sünderhauf, Feras Dayoub
Online Monitoring of Object Detection Performance Post-Deployment. CoRR (2020)
Ben Talbot, Feras Dayoub, Peter Corke, Gordon F. Wyeth
Robot Navigation in Unseen Spaces using an Abstract Map. CoRR (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)
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)
Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
Learning landmark guided embeddings for animal re-identification. 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)
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)
Lucie Halodová, Eliska Dvoráková, Filip Majer, Tomás Vintr, Óscar Martínez Mozos, Feras Dayoub, Tomás Krajník
Predictive and adaptive maps for long-term visual navigation in changing environments. IROS (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)
Olga Moskvyak, Frédéric Maire, Asia O. Armstrong, Feras Dayoub, Mahsa Baktashmotlagh
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. CoRR (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)
Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. CoRR (2018)
Aaron McFadyen, Feras Dayoub, Steve Martin, Jason J. Ford, Peter Corke
Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles. CoRR (2018)
Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
Dropout Sampling for Robust Object Detection in Open-Set Conditions. ICRA (2018)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management. CoRR (2018)
Ahmed Abbas, Frédéric Maire, Sareh Shirazi, Feras Dayoub, Markus Eich
A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of Its Parts from a Single Demonstration. Australasian Conference on Artificial Intelligence (2018)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A rapidly deployable classification system using visual data for the application of precision weed management. Comput. Electron. Agric. 148 (2018)
Ho Seok Ahn, Inkyu Sa, Feras Dayoub
Introduction to the Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies. IEEE Robotics Autom. Lett. 3 (4) (2018)
Ho Seok Ahn, Feras Dayoub, Marija Popovic, Bruce A. MacDonald, Roland Siegwart, Inkyu Sa
An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest. CoRR (2018)
Aaron McFadyen, Feras Dayoub, Steve Martin, Jason J. Ford, Peter Corke
Assisted Control for Semi-Autonomous Power Infrastructure Inspection Using Aerial Vehicles. IROS (2018)
David Hall, Feras Dayoub, Jason Kulk, Chris McCool
Towards Unsupervised Weed Scouting for Agricultural Robotics. CoRR (2017)
Owen Bawden, Jason Kulk, Ray Russell, Chris McCool, Andrew English, Feras Dayoub, Christopher F. Lehnert, Tristan Perez
Robot for weed species plant-specific management. J. Field Robotics 34 (6) (2017)
Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
Dropout Sampling for Robust Object Detection in Open-Set Conditions. CoRR (2017)
Feras Dayoub, Niko Sünderhauf, Peter I. Corke
Episode-Based Active Learning with Bayesian Neural Networks. CVPR Workshops (2017)
Feras Dayoub, Niko Sünderhauf, Peter I. Corke
Episode-Based Active Learning with Bayesian Neural Networks. CoRR (2017)
Inkyu Sa, Christopher F. Lehnert, Andrew English, Chris McCool, Feras Dayoub, Ben Upcroft, Tristan Perez
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information. CoRR (2017)
David Hall, Feras Dayoub, Jason Kulk, Chris McCool
Towards unsupervised weed scouting for agricultural robotics. ICRA (2017)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A transplantable system for weed classification by agricultural robotics. IROS (2017)
Inkyu Sa, Christopher F. Lehnert, Andrew English, Chris McCool, Feras Dayoub, Ben Upcroft, Tristan Perez
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Color and 3-D Information. IEEE Robotics Autom. Lett. 2 (2) (2017)
Inkyu Sa, ZongYuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez, Chris McCool
DeepFruits: A Fruit Detection System Using Deep Neural Networks. Sensors 16 (8) (2016)
Christopher McCool, Inkyu Sa, Feras Dayoub, Christopher F. Lehnert, Tristan Perez, Ben Upcroft
Visual detection of occluded crop: For automated harvesting. ICRA (2016)
Niko Sünderhauf, Feras Dayoub, Sean McMahon, Ben Talbot, Ruth Schulz, Peter I. Corke, Gordon F. Wyeth, Ben Upcroft, Michael Milford
Place categorization and semantic mapping on a mobile robot. ICRA (2016)
Ben Talbot, Obadiah Lam, Ruth Schulz, Feras Dayoub, Ben Upcroft, Gordon F. Wyeth
Find my office: Navigating real space from semantic descriptions. ICRA (2016)
David Hall, Chris McCool, Feras Dayoub, Niko Sünderhauf, Ben Upcroft
Evaluation of Features for Leaf Classification in Challenging Conditions. WACV (2015)
Niko Sünderhauf, Feras Dayoub, Sareh Shirazi, Ben Upcroft, Michael Milford
On the Performance of ConvNet Features for Place Recognition. CoRR (2015)
Niko Sünderhauf, Feras Dayoub, Sean McMahon, Ben Talbot, Ruth Schulz, Peter I. Corke, Gordon F. Wyeth, Ben Upcroft, Michael Milford
Place Categorization and Semantic Mapping on a Mobile Robot. CoRR (2015)
Niko Sünderhauf, Sareh Shirazi, Adam Jacobson, Feras Dayoub, Edward Pepperell, Ben Upcroft, Michael Milford
Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free. Robotics: Science and Systems (2015)
Feras Dayoub, Timothy Morris, Peter I. Corke
Rubbing Shoulders With Mobile Service Robots. IEEE Access 3 (2015)
Niko Sünderhauf, Sareh Shirazi, Feras Dayoub, Ben Upcroft, Michael Milford
On the performance of ConvNet features for place recognition. IROS (2015)
Feras Dayoub, Matthew Dunbabin, Peter I. Corke
Robotic detection and tracking of Crown-of-Thorns starfish. IROS (2015)
Ruth Schulz, Ben Talbot, Obadiah Lam, Feras Dayoub, Peter I. Corke, Ben Upcroft, Gordon F. Wyeth
Robot navigation using human cues: A robot navigation system for symbolic goal-directed exploration. ICRA (2015)
Timothy Morris, Feras Dayoub, Peter I. Corke, Gordon F. Wyeth, Ben Upcroft
Multiple map hypotheses for planning and navigating in non-stationary environments. ICRA (2014)
Timothy Morris, Feras Dayoub, Peter I. Corke, Ben Upcroft
Simultaneous localization and planning on multiple map hypotheses. IROS (2014)

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Publication Activity (10 Years)

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Feras Dayoub