Feras Dayoub - RankMe

137 papers A* 17A 24C 1Misc 2Journal 81Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIMC-Spec: A Benchmark Dataset for Automatic Intrapulse Modulation Classification under Variable Noise Conditions. CoRR Sebastian L. Cocks, Salvador Dreo, Feras Dayoub
2026	J	`jnl`	LangMap: A Hierarchical Benchmark for Open-Vocabulary Goal Navigation. CoRR Bo Miao, Weijia Liu, Jun Luo, Lachlan Shinnick, Jian Liu, Thomas Hamilton-Smith, Yuhe Yang, Zijie Wu, Vanja Videnovic, Feras Dayoub, Anton van den Hengel
2026	J	`jnl`	Predictive and adaptive maps for long-term visual navigation in changing environments. CoRR Lucie Halodova, Eliska Dvoráková, Filip Majer, Tomas Vintr, Óscar Martínez Mozos, Feras Dayoub, Tomás Krajník
2026	J	`jnl`	Vision Foundation Models for Domain Generalisable Cross-View Localisation in Planetary Ground-Aerial Robotic Teams. CoRR Lachlan Holden, Feras Dayoub, Alberto Candela, David Harvey, Tat-Jun Chin
2025	A*	`conf`	3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer. CVPR Jiajun Deng, Tianyu He, Li Jiang, Tianyu Wang, Feras Dayoub, Ian D. Reid
2025	J	`jnl`	3D-LLaVA: Towards Generalist 3D LMMs with Omni Superpoint Transformer. CoRR Jiajun Deng, Tianyu He, Li Jiang, Tianyu Wang, Feras Dayoub, Ian D. Reid
2025	J	`jnl`	AIMC-Spec: A Benchmark Dataset for Automatic Intrapulse Modulation Classification Under Variable Noise Conditions. IEEE Access Sebastian L. Cocks, Salvador Dreo, Feras Dayoub
2025	A*	`conf`	Effective Tuning Strategies for Generalist Robot Manipulation Policies. ICRA Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu
2025	A	`conf`	Embodied Domain Adaptation for Object Detection. IROS Xiangyu Shi, Yanyuan Qiao, Lingqiao Liu, Feras Dayoub
2025	J	`jnl`	Embodied Domain Adaptation for Object Detection. CoRR Xiangyu Shi, Yanyuan Qiao, Lingqiao Liu, Feras Dayoub
2025	A	`conf`	Enhancing Embodied Object Detection with Spatial Feature Memory. WACV Nicolas Harvey Chapman, Christopher F. Lehnert, Will N. Browne, Feras Dayoub
2025	J	`jnl`	ObjectReact: Learning Object-Relative Control for Visual Navigation. CoRR Sourav Garg, Dustin Craggs, Vineeth Bhat, Lachlan Mares, Stefan Podgorski, Madhava Krishna, Feras Dayoub, Ian D. Reid
2025	A	`conf`	QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries. IROS Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
2025	J	`jnl`	QueryAdapter: Rapid Adaptation of Vision-Language Models in Response to Natural Language Queries. CoRR Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
2025	A*	`conf`	Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. ICRA Chun-Jung Lin, Sourav Garg, Tat-Jun Chin, Feras Dayoub
2025	J	`jnl`	SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection. CoRR Chun-Jung Lin, Tat-Jun Chin, Sourav Garg, Feras Dayoub
2025	A	`conf`	SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation. IROS Xiangyu Shi, Zerui Li, Wenqi Lyu, Jiatong Xia, Feras Dayoub, Yanyuan Qiao, Qi Wu
2025	J	`jnl`	SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation. CoRR Xiangyu Shi, Zerui Li, Wenqi Lyu, Jiatong Xia, Feras Dayoub, Yanyuan Qiao, Qi Wu
2025	A*	`conf`	TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals. ICRA Stefan Podgorski, Sourav Garg, Mehdi Hosseinzadeh, Lachlan Mares, Feras Dayoub, Ian Reid
2025	J	`jnl`	TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals. CoRR Stefan Podgorski, Sourav Garg, Mehdi Hosseinzadeh, Lachlan Mares, Feras Dayoub, Ian D. Reid
2025	A	`conf`	To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation. WACV Savitha Sam Abraham, Sourav Garg, Feras Dayoub
2024	J	`jnl`	AARK: An Open Toolkit for Autonomous Racing Research. CoRR James Bockman, Matthew Howe, Adrian Orenstein, Feras Dayoub
2024	A	`conf`	Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization. WACV Dong Yuan, Frédéric Maire, Feras Dayoub
2024	J	`jnl`	Effective Tuning Strategies for Generalist Robot Manipulation Policies. CoRR Wenbo Zhang, Yang Li, Yanyuan Qiao, Siyuan Huang, Jiajun Liu, Feras Dayoub, Xiao Ma, Lingqiao Liu
2024	J	`jnl`	Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory. CoRR Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Chris Lehnert
2024	J	`jnl`	Hybrid Navigation Acceptability and Safety. CoRR Benoît Clement, Marie Dubromel, Paulo E. Santos, Karl Sammut, Michelle Oppert, Feras Dayoub
2024	—	`conf`	Improving Online Source-Free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. ECCV Workshops (7) Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub
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`	PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest. CoRR Jiajun Deng, Sha Zhang, Feras Dayoub, Wanli Ouyang, Yanyong Zhang, Ian Reid
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
2024	—	`conf`	Robust Perspective-n-Crater for Crater-based Camera Pose Estimation. CVPR Workshops 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
2024	J	`jnl`	Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. CoRR Chun-Jung Lin, Sourav Garg, Tat-Jun Chin, Feras Dayoub
2024	A*	`conf`	Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. AAAI Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen
2024	A	`conf`	Temporal Attention for Cross-View Sequential Image Localization. IROS Dong Yuan, Frédéric Maire, Feras Dayoub
2024	J	`jnl`	Temporal Attention for Cross-View Sequential Image Localization. CoRR Dong Yuan, Frédéric Maire, Feras Dayoub
2024	J	`jnl`	To Ask or Not to Ask? Detecting Absence of Information in Vision and Language Navigation. CoRR Savitha Sam Abraham, Sourav Garg, Feras Dayoub
2024	J	`jnl`	Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection. CoRR Prakash Mallick, Feras Dayoub, Jamie Sherrah
2023	J	`jnl`	Addressing the Challenges of Open-World Object Detection. CoRR David Pershouse, Feras Dayoub, Dimity Miller, Niko Sünderhauf
2023	J	`jnl`	Federated Neural Radiance Fields. CoRR Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin
2023	A	`conf`	Hyperdimensional Feature Fusion for Out-of-Distribution Detection. WACV Samuel Wilson, Tobias Fischer, Niko Sünderhauf, Feras Dayoub
2023	J	`jnl`	Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition. CoRR Xiangyu Shi, Yanyuan Qiao, Qi Wu, Lingqiao Liu, Feras Dayoub
2023	J	`jnl`	Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. CoRR Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
2023	J	`jnl`	Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection. IEEE Robotics Autom. Lett. Nicolas Harvey Chapman, Feras Dayoub, Will N. Browne, Christopher F. Lehnert
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	J	`jnl`	Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation. CoRR Renjie Wu, Hu Wang, Feras Dayoub, Hsiang-Ting Chen
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`	FSNet: A Failure Detection Framework for Semantic Segmentation. IEEE Robotics Autom. Lett. Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, Feras Dayoub
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	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	A	`conf`	Class Anchor Clustering: A Loss for Distance-based Open Set Recognition. WACV Dimity Miller, Niko Sünderhauf, Michael Milford, Feras Dayoub
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`	Going Deeper into Semi-supervised Person Re-identification. CoRR Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
2021	J	`jnl`	Hyperdimensional Feature Fusion for Out-Of-Distribution Detection. CoRR Samuel Wilson, Niko Sünderhauf, Feras Dayoub
2021	A	`conf`	Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. WACV Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
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`	Robot Navigation in Unseen Spaces Using an Abstract Map. IEEE Trans. Cogn. Dev. Syst. Ben Talbot, Feras Dayoub, Peter Corke, Gordon F. Wyeth
2021	Misc	`conf`	Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. DICTA Olga Moskvyak, Frédéric Maire, Feras Dayoub, Asia O. Armstrong, Mahsa Baktashmotlagh
2021	J	`jnl`	Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. IEEE Access Quazi Marufur Rahman, Peter Corke, Feras Dayoub
2021	J	`jnl`	Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. CoRR Quazi Marufur Rahman, Peter Corke, Feras Dayoub
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	A*	`conf`	Semi-supervised Keypoint Localization. ICLR Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
2021	J	`jnl`	Semi-supervised Keypoint Localization. CoRR Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
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
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`	Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation. CoRR Bilal Arain, Feras Dayoub, Paul Rigby, Matthew Dunbabin
2020	J	`jnl`	Keypoint-Aligned Embeddings for Image Retrieval and Re-identification. CoRR Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
2020	—	`conf`	Learning Landmark Guided Embeddings for Animal Re-identification. WACV Workshops Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
2020	J	`jnl`	Learning landmark guided embeddings for animal re-identification. CoRR Olga Moskvyak, Frédéric Maire, Feras Dayoub, Mahsa Baktashmotlagh
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	J	`jnl`	Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing. CoRR Jesse Haviland, Feras Dayoub, Peter Corke
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	J	`jnl`	Robot Navigation in Unseen Spaces using an Abstract Map. CoRR Ben Talbot, Feras Dayoub, Peter Corke, Gordon F. Wyeth
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`	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`	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`	Predictive and adaptive maps for long-term visual navigation in changing environments. IROS Lucie Halodová, Eliska Dvoráková, Filip Majer, Tomás Vintr, Óscar Martínez Mozos, Feras Dayoub, Tomás Krajník
2019	J	`jnl`	Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings. CoRR Olga Moskvyak, Frédéric Maire, Asia O. Armstrong, Feras Dayoub, Mahsa Baktashmotlagh
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
2018	—	`conf`	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 Ahmed Abbas, Frédéric Maire, Sareh Shirazi, Feras Dayoub, Markus Eich
2018	J	`jnl`	A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management. CoRR David Hall, Feras Dayoub, Tristan Perez, Chris McCool
2018	J	`jnl`	A rapidly deployable classification system using visual data for the application of precision weed management. Comput. Electron. Agric. David Hall, Feras Dayoub, Tristan Perez, Chris McCool
2018	J	`jnl`	An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest. CoRR Ho Seok Ahn, Feras Dayoub, Marija Popovic, Bruce A. MacDonald, Roland Siegwart, Inkyu Sa
2018	A	`conf`	Assisted Control for Semi-Autonomous Power Infrastructure Inspection Using Aerial Vehicles. IROS Aaron McFadyen, Feras Dayoub, Steve Martin, Jason J. Ford, Peter Corke
2018	J	`jnl`	Assisted Control for Semi-Autonomous Power Infrastructure Inspection using Aerial Vehicles. CoRR Aaron McFadyen, Feras Dayoub, Steve Martin, Jason J. Ford, Peter Corke
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	J	`jnl`	Introduction to the Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies. IEEE Robotics Autom. Lett. Ho Seok Ahn, Inkyu Sa, Feras Dayoub
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
2017	A	`conf`	A transplantable system for weed classification by agricultural robotics. IROS David Hall, Feras Dayoub, Tristan Perez, Chris McCool
2017	J	`jnl`	Dropout Sampling for Robust Object Detection in Open-Set Conditions. CoRR Dimity Miller, Lachlan Nicholson, Feras Dayoub, Niko Sünderhauf
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	J	`jnl`	Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Color and 3-D Information. IEEE Robotics Autom. Lett. Inkyu Sa, Christopher F. Lehnert, Andrew English, Chris McCool, Feras Dayoub, Ben Upcroft, Tristan Perez
2017	J	`jnl`	Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information. CoRR Inkyu Sa, Christopher F. Lehnert, Andrew English, Chris McCool, Feras Dayoub, Ben Upcroft, Tristan Perez
2017	J	`jnl`	Robot for weed species plant-specific management. J. Field Robotics Owen Bawden, Jason Kulk, Ray Russell, Chris McCool, Andrew English, Feras Dayoub, Christopher F. Lehnert, Tristan Perez
2017	J	`jnl`	Towards Unsupervised Weed Scouting for Agricultural Robotics. CoRR David Hall, Feras Dayoub, Jason Kulk, Chris McCool
2017	A*	`conf`	Towards unsupervised weed scouting for agricultural robotics. ICRA David Hall, Feras Dayoub, Jason Kulk, Chris McCool
2016	J	`jnl`	DeepFruits: A Fruit Detection System Using Deep Neural Networks. Sensors Inkyu Sa, Zongyuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez, Chris McCool
2016	A*	`conf`	Find my office: Navigating real space from semantic descriptions. ICRA Ben Talbot, Obadiah Lam, Ruth Schulz, Feras Dayoub, Ben Upcroft, Gordon F. Wyeth
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	A*	`conf`	Visual detection of occluded crop: For automated harvesting. ICRA Christopher McCool, Inkyu Sa, Feras Dayoub, Christopher F. Lehnert, Tristan Perez, Ben Upcroft
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	A*	`conf`	Robot navigation using human cues: A robot navigation system for symbolic goal-directed exploration. ICRA Ruth Schulz, Ben Talbot, Obadiah Lam, Feras Dayoub, Peter I. Corke, Ben Upcroft, Gordon F. Wyeth
2015	A	`conf`	Robotic detection and tracking of Crown-of-Thorns starfish. IROS Feras Dayoub, Matthew Dunbabin, Peter I. Corke
2015	J	`jnl`	Rubbing Shoulders With Mobile Service Robots. IEEE Access Feras Dayoub, Timothy Morris, Peter I. Corke
2014	A*	`conf`	Multiple map hypotheses for planning and navigating in non-stationary environments. ICRA Timothy Morris, Feras Dayoub, Peter I. Corke, Gordon F. Wyeth, Ben Upcroft
2014	A	`conf`	Simultaneous localization and planning on multiple map hypotheses. IROS Timothy Morris, Feras Dayoub, Peter I. Corke, Ben Upcroft
2013	—	`conf`	Eight Weeks of Episodic Visual Navigation Inside a Non-stationary Environment Using Adaptive Spherical Views. FSR Feras Dayoub, Grzegorz Cielniak, Tom Duckett
2013	A	`conf`	Vision-only autonomous navigation using topometric maps. IROS Feras Dayoub, Timothy Morris, Ben Upcroft, Peter Corke
2011	—	`conf`	A Sparse Hybrid Map for Vision-Guided Mobile Robots. ECMR Feras Dayoub, Grzegorz Cielniak, Tom Duckett
2011	—	`conf`	Long-Term Experiment Using an Adaptive Appearance-Based Map for Visual Navigation by Mobile Robots. TAROS Feras Dayoub, Grzegorz Cielniak, Tom Duckett
2011	J	`jnl`	Long-term experiments with an adaptive spherical view representation for navigation in changing environments. Robotics Auton. Syst. Feras Dayoub, Grzegorz Cielniak, Tom Duckett
2009	—	`conf`	An Adaptive Spherical View Representation for Navigation in Changing Environments. ECMR Feras Dayoub, Tom Duckett, Grzegorz Cielniak
2008	A	`conf`	An adaptive appearance-based map for long-term topological localization of mobile robots. IROS Feras Dayoub, Tom Duckett