An adaptive appearance-based map for long-term topological localization of mobile robots. - Feras Dayoub; Tom Duckett (IROS, 2008)

An Adaptive Spherical View Representation for Navigation in Changing Environments. - Feras Dayoub; Tom Duckett; Grzegorz Cielniak (ECMR, 2009)

A Sparse Hybrid Map for Vision-Guided Mobile Robots. - Feras Dayoub; Grzegorz Cielniak; Tom Duckett (ECMR, 2011)

Long-Term Experiment Using an Adaptive Appearance-Based Map for Visual Navigation by Mobile Robots. - Feras Dayoub; Grzegorz Cielniak; Tom Duckett (TAROS, 2011)

Long-term experiments with an adaptive spherical view representation for navigation in changing environments. - Feras Dayoub; Grzegorz Cielniak; Tom Duckett (Robotics Auton. Syst., 2011)

Eight Weeks of Episodic Visual Navigation Inside a Non-stationary Environment Using Adaptive Spherical Views. - Feras Dayoub; Grzegorz Cielniak; Tom Duckett (FSR, 2013)

Vision-only autonomous navigation using topometric maps. - Feras Dayoub; Timothy Morris; Ben Upcroft; Peter Corke (IROS, 2013)

Multiple map hypotheses for planning and navigating in non-stationary environments. - Timothy Morris; Feras Dayoub; Peter I. Corke; Gordon F. Wyeth; Ben Upcroft (ICRA, 2014)

Simultaneous localization and planning on multiple map hypotheses. - Timothy Morris; Feras Dayoub; Peter I. Corke; Ben Upcroft (IROS, 2014)

Robot navigation using human cues: A robot navigation system for symbolic goal-directed exploration. - Ruth Schulz; Ben Talbot; Obadiah Lam; Feras Dayoub; Peter I. Corke; Ben Upcroft; Gordon F. Wyeth (ICRA, 2015)

Robotic detection and tracking of Crown-of-Thorns starfish. - Feras Dayoub; Matthew Dunbabin; Peter I. Corke (IROS, 2015)

On the performance of ConvNet features for place recognition. - Niko Sünderhauf; Sareh Shirazi; Feras Dayoub; Ben Upcroft; Michael Milford (IROS, 2015)

Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free. - Niko Sünderhauf; Sareh Shirazi; Adam Jacobson; Feras Dayoub; Edward Pepperell; Ben Upcroft; Michael Milford (Robotics: Science and Systems, 2015)

Evaluation of Features for Leaf Classification in Challenging Conditions. - David Hall 003; Chris McCool; Feras Dayoub; Niko Sünderhauf; Ben Upcroft (WACV, 2015)

Rubbing Shoulders With Mobile Service Robots. - Feras Dayoub; Timothy Morris; Peter I. Corke (IEEE Access, 2015)

Visual detection of occluded crop: For automated harvesting. - Christopher McCool; Inkyu Sa; Feras Dayoub; Christopher F. Lehnert; Tristan Perez; Ben Upcroft (ICRA, 2016)

Place categorization and semantic mapping on a mobile robot. - Niko Sünderhauf; Feras Dayoub; Sean McMahon; Ben Talbot; Ruth Schulz; Peter I. Corke; Gordon F. Wyeth; Ben Upcroft; Michael Milford (ICRA, 2016)

Find my office: Navigating real space from semantic descriptions. - Ben Talbot; Obadiah Lam; Ruth Schulz; Feras Dayoub; Ben Upcroft; Gordon F. Wyeth (ICRA, 2016)

DeepFruits: A Fruit Detection System Using Deep Neural Networks. - Inkyu Sa; ZongYuan Ge; Feras Dayoub; Ben Upcroft; Tristan Perez; Chris McCool (Sensors, 2016)

Episode-Based Active Learning with Bayesian Neural Networks. - Feras Dayoub; Niko Sünderhauf; Peter I. Corke (CVPR Workshops, 2017)

Towards unsupervised weed scouting for agricultural robotics. - David Hall 003; Feras Dayoub; Jason Kulk; Chris McCool (ICRA, 2017)

A transplantable system for weed classification by agricultural robotics. - David Hall 003; Feras Dayoub; Tristan Perez; Chris McCool (IROS, 2017)

Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information. - Inkyu Sa; Christopher F. Lehnert; Andrew English; Chris McCool; Feras Dayoub; Ben Upcroft; Tristan Perez (CoRR, 2017)

Robot for weed species plant-specific management. - Owen Bawden; Jason Kulk; Ray Russell; Chris McCool; Andrew English; Feras Dayoub; Christopher F. Lehnert; Tristan Perez (J. Field Robotics, 2017)

Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Color and 3-D Information. - Inkyu Sa; Christopher F. Lehnert; Andrew English; Chris McCool; Feras Dayoub; Ben Upcroft; Tristan Perez (IEEE Robotics Autom. Lett., 2017)

A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of Its Parts from a Single Demonstration. - Ahmed Abbas; Frédéric Maire; Sareh Shirazi; Feras Dayoub; Markus Eich (Australasian Conference on Artificial Intelligence, 2018)

Dropout Sampling for Robust Object Detection in Open-Set Conditions. - Dimity Miller; Lachlan Nicholson; Feras Dayoub; Niko Sünderhauf (ICRA, 2018)

Assisted Control for Semi-Autonomous Power Infrastructure Inspection Using Aerial Vehicles. - Aaron McFadyen; Feras Dayoub; Steve Martin 001; Jason J. Ford; Peter Corke (IROS, 2018)

A rapidly deployable classification system using visual data for the application of precision weed management. - David Hall 003; Feras Dayoub; Tristan Perez; Chris McCool (Comput. Electron. Agric., 2018)

An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest. - Ho Seok Ahn; Feras Dayoub; Marija Popovic; Bruce A. MacDonald; Roland Siegwart; Inkyu Sa (CoRR, 2018)

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation. - David Hall 003; Feras Dayoub; John Skinner; Peter Corke; Gustavo Carneiro 001; Niko Sünderhauf (CoRR, 2018)

Introduction to the Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies. - Ho Seok Ahn; Inkyu Sa; Feras Dayoub (IEEE Robotics Autom. Lett., 2018)

Benchmarking Sampling-based Probabilistic Object Detectors. - Dimity Miller; Niko Sünderhauf; Haoyang Zhang; David Hall 003; Feras Dayoub (CVPR Workshops, 2019)

Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. - Dimity Miller; Feras Dayoub; Michael Milford; Niko Sünderhauf (ICRA, 2019)

Predictive and adaptive maps for long-term visual navigation in changing environments. - Lucie Halodová; Eliska Dvoráková; Filip Majer; Tomás Vintr; Óscar Martínez Mozos; Feras Dayoub; Tomás Krajník (IROS, 2019)

Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. - Quazi Marufur Rahman; Niko Sünderhauf; Feras Dayoub (IROS, 2019)

What Can Robotics Research Learn from Computer Vision Research? - Peter Corke; Feras Dayoub; David Hall 003; John Skinner; Niko Sünderhauf (ISRR, 2019)

The Probabilistic Object Detection Challenge. - John Skinner; David Hall 003; Haoyang Zhang; Feras Dayoub; Niko Sünderhauf (CoRR, 2019)

A probabilistic challenge for object detection. - Niko Sünderhauf; Feras Dayoub; David Hall 003; John Skinner; Haoyang Zhang; Gustavo Carneiro 001; Peter Corke (Nat. Mach. Intell., 2019)

Probabilistic Object Detection: Definition and Evaluation. - David Hall 003; Feras Dayoub; John Skinner; Haoyang Zhang; Dimity Miller; Peter Corke; Gustavo Carneiro 001; Anelia Angelova; Niko Sünderhauf (WACV, 2020)

Learning Landmark Guided Embeddings for Animal Re-identification. - Olga Moskvyak; Frédéric Maire; Feras Dayoub; Mahsa Baktashmotlagh (WACV Workshops, 2020)

Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation. - Bilal Arain; Feras Dayoub; Paul Rigby; Matthew Dunbabin (CoRR, 2020)

Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing. - Jesse Haviland; Feras Dayoub; Peter Corke (CoRR, 2020)

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers. - Dimity Miller; Niko Sünderhauf; Michael Milford; Feras Dayoub (CoRR, 2020)

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots. - Ben Talbot; David Hall 003; Haoyang Zhang; Suman Raj Bista; Rohan Smith; Feras Dayoub; Niko Sünderhauf (CoRR, 2020)

The Robotic Vision Scene Understanding Challenge. - David Hall 003; Ben Talbot; Suman Raj Bista; Haoyang Zhang; Rohan Smith; Feras Dayoub; Niko Sünderhauf (CoRR, 2020)

Performance Monitoring of Object Detection During Deployment. - Quazi Marufur Rahman; Niko Sünderhauf; Feras Dayoub (CoRR, 2020)

Online Monitoring of Object Detection Performance Post-Deployment. - Quazi Marufur Rahman; Niko Sünderhauf; Feras Dayoub (CoRR, 2020)

SWA Object Detection. - Haoyang Zhang; Ying Wang 074; Feras Dayoub; Niko Sünderhauf (CoRR, 2020)

Semantics for Robotic Mapping, Perception and Interaction: A Survey. - Sourav Garg; Niko Sünderhauf; Feras Dayoub; Douglas Morrison; Akansel Cosgun; Gustavo Carneiro 001; Qi Wu 001; Tat-Jun Chin; Ian D. Reid 001; Stephen Gould; Peter Corke; Michael Milford (Found. Trends Robotics, 2020)

VarifocalNet: An IoU-Aware Dense Object Detector. - Haoyang Zhang; Ying Wang 074; Feras Dayoub; Niko Sünderhauf (CVPR, 2021)

Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. - Olga Moskvyak; Frédéric Maire; Feras Dayoub; Asia O. Armstrong; Mahsa Baktashmotlagh (DICTA, 2021)

Semi-supervised Keypoint Localization. - Olga Moskvyak; Frédéric Maire; Feras Dayoub; Mahsa Baktashmotlagh (ICLR, 2021)

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM. - Suman Raj Bista; David Hall 003; Ben Talbot; Haoyang Zhang; Feras Dayoub; Niko Sünderhauf (IROS, 2021)

Online Monitoring of Object Detection Performance During Deployment. - Quazi Marufur Rahman; Niko Sünderhauf; Feras Dayoub (IROS, 2021)

Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. - Dimity Miller; Niko Sünderhauf; Michael Milford; Feras Dayoub (WACV, 2021)

Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. - Olga Moskvyak; Frédéric Maire; Feras Dayoub; Mahsa Baktashmotlagh (WACV, 2021)

Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment. - Quazi Marufur Rahman; Niko Sünderhauf; Feras Dayoub (WACV (Workshops), 2021)

Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. - Quazi Marufur Rahman; Peter Corke; Feras Dayoub (IEEE Access, 2021)

Going Deeper into Semi-supervised Person Re-identification. - Olga Moskvyak; Frédéric Maire; Feras Dayoub; Mahsa Baktashmotlagh (CoRR, 2021)

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection. - Samuel Wilson; Niko Sünderhauf; Feras Dayoub (CoRR, 2021)

Robot Navigation in Unseen Spaces Using an Abstract Map. - Ben Talbot; Feras Dayoub; Peter Corke; Gordon F. Wyeth (IEEE Trans. Cogn. Dev. Syst., 2021)

Implicit Object Mapping With Noisy Data. - Jad Abou-Chakra; Feras Dayoub; Niko Sünderhauf (CoRR, 2022)

Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers. - Samuel Wilson; Tobias Fischer 001; Feras Dayoub; Niko Sünderhauf (CoRR, 2022)

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes. - Jad Abou-Chakra; Feras Dayoub; Niko Sünderhauf (CoRR, 2022)

BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research. - David Hall 003; Ben Talbot; Suman Raj Bista; Haoyang Zhang; Rohan Smith; Feras Dayoub; Niko Sünderhauf (Int. J. Robotics Res., 2022)

Uncertainty for Identifying Open-Set Errors in Visual Object Detection. - Dimity Miller; Niko Sünderhauf; Michael Milford; Feras Dayoub (IEEE Robotics Autom. Lett., 2022)

FSNet: A Failure Detection Framework for Semantic Segmentation. - Quazi Marufur Rahman; Niko Sünderhauf; Peter Corke; Feras Dayoub (IEEE Robotics Autom. Lett., 2022)

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. - Samuel Wilson; Tobias Fischer 001; Feras Dayoub; Dimity Miller; Niko Sünderhauf (ICCV, 2023)

Hyperdimensional Feature Fusion for Out-of-Distribution Detection. - Samuel Wilson; Tobias Fischer 001; Niko Sünderhauf; Feras Dayoub (WACV, 2023)

Addressing the Challenges of Open-World Object Detection. - David Pershouse; Feras Dayoub; Dimity Miller; Niko Sünderhauf (CoRR, 2023)

Federated Neural Radiance Fields. - Lachlan Holden; Feras Dayoub; David Harvey; Tat-Jun Chin (CoRR, 2023)

Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. - Nicolas Harvey Chapman; Feras Dayoub; Will N. Browne; Christopher F. Lehnert (IEEE Robotics Autom. Lett., 2023)

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. - Renjie Wu 008; Hu Wang 005; Feras Dayoub; Hsiang-Ting Chen (AAAI, 2024)

Physically Embodied Gaussian Splatting: A Visually Learnt and Physically Grounded 3D Representation for Robotics. - Jad Abou-Chakra; Krishan Rana; Feras Dayoub; Niko Sünderhauf (CoRL, 2024)

Robust Perspective-n-Crater for Crater-based Camera Pose Estimation. - Sofia McLeod; Chee Kheng Chng; Tatsuharu Ono; Yuta Shimizu; Ryodo Hemmi; Lachlan Holden; Matthew Rodda; Feras Dayoub; Hirdy Miyamoto; Yukihiro Takahashi; Yasuko Kasai; Tat-Jun Chin (CVPR Workshops, 2024)

Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. - Xiangyu Shi; Yanyuan Qiao; Qi Wu 001; Lingqiao Liu; Feras Dayoub (ECCV Workshops (7), 2024)

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. - Sourav Garg; Krishan Rana; Mehdi Hosseinzadeh 003; Lachlan Mares; Niko Sünderhauf; Feras Dayoub; Ian D. Reid 001 (ICRA, 2024)

Temporal Attention for Cross-View Sequential Image Localization. - Dong Yuan; Frédéric Maire; Feras Dayoub (IROS, 2024)

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields. - Jad Abou-Chakra; Feras Dayoub; Niko Sünderhauf (WACV, 2024)

Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization. - Dong Yuan; Frédéric Maire; Feras Dayoub (WACV, 2024)

Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection. - Prakash Mallick; Feras Dayoub; Jamie Sherrah (CoRR, 2024)

Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory. - Nicolas Harvey Chapman; Feras Dayoub; Will N. Browne; Chris Lehnert (CoRR, 2024)

PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest. - Jiajun Deng; Sha Zhang 002; Feras Dayoub; Wanli Ouyang; Yanyong Zhang; Ian Reid 001 (CoRR, 2024)

Hybrid Navigation Acceptability and Safety. - Benoit Clement; Marie Dubromel; Paulo E. Santos; Karl Sammut; Michelle Oppert; Feras Dayoub (CoRR, 2024)

Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics. - Jad Abou-Chakra; Krishan Rana; Feras Dayoub; Niko Sünderhauf (CoRR, 2024)

Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. - Chun-Jung Lin; Sourav Garg; Tat-Jun Chin; Feras Dayoub (CoRR, 2024)

AARK: An Open Toolkit for Autonomous Racing Research. - James Bockman; Matthew Howe; Adrian Orenstein; Feras Dayoub (CoRR, 2024)

Effective Tuning Strategies for Generalist Robot Manipulation Policies. - Wenbo Zhang; Yang Li; Yanyuan Qiao; Siyuan Huang 004; Jiajun Liu; Feras Dayoub; Xiao Ma; Lingqiao Liu (CoRR, 2024)

3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer. - Jiajun Deng; Tianyu He; Li Jiang; Tianyu Wang; Feras Dayoub; Ian D. Reid 001 (CVPR, 2025)

To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation. - Savitha Sam Abraham; Sourav Garg; Feras Dayoub (WACV, 2025)

Enhancing Embodied Object Detection with Spatial Feature Memory. - Nicolas Harvey Chapman; Christopher F. Lehnert; Will N. Browne; Feras Dayoub (WACV, 2025)

QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries. - Nicolas Harvey Chapman; Feras Dayoub; Will N. Browne; Christopher F. Lehnert (CoRR, 2025)

SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation. - Xiangyu Shi; Zerui Li; Wenqi Lyu; Jiatong Xia; Feras Dayoub; Yanyuan Qiao; Qi Wu 001 (CoRR, 2025)

Embodied Domain Adaptation for Object Detection. - Xiangyu Shi; Yanyuan Qiao; Lingqiao Liu; Feras Dayoub (CoRR, 2025)