Feras Dayoub

Orcid: 0000-0002-4234-7374

According to our database1, Feras Dayoub authored at least 88 papers between 2008 and 2024.

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Bibliography

2024
Effective Tuning Strategies for Generalist Robot Manipulation Policies.
CoRR, 2024

AARK: An Open Toolkit for Autonomous Racing Research.
CoRR, 2024

Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms.
CoRR, 2024

Temporal Attention for Cross-View Sequential Image Localization.
CoRR, 2024

Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics.
CoRR, 2024

Hybrid Navigation Acceptability and Safety.
CoRR, 2024

PoIFusion: Multi-Modal 3D Object Detection via Fusion at Points of Interest.
CoRR, 2024

Enhancing Embodied Object Detection through Language-Image Pre-training and Implicit Object Memory.
CoRR, 2024

Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection.
CoRR, 2024

Cross-Attention Between Satellite and Ground Views for Enhanced Fine-Grained Robot Geo-Localization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Robust Perspective-n-Crater for Crater-based Camera Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection.
IEEE Robotics Autom. Lett., 2023

Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition.
CoRR, 2023

Federated Neural Radiance Fields.
CoRR, 2023

Addressing the Challenges of Open-World Object Detection.
CoRR, 2023

Hyperdimensional Feature Fusion for Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
FSNet: A Failure Detection Framework for Semantic Segmentation.
IEEE Robotics Autom. Lett., 2022

Uncertainty for Identifying Open-Set Errors in Visual Object Detection.
IEEE Robotics Autom. Lett., 2022

BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research.
Int. J. Robotics Res., 2022

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes.
CoRR, 2022

Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers.
CoRR, 2022

Implicit Object Mapping With Noisy Data.
CoRR, 2022

2021
Robot Navigation in Unseen Spaces Using an Abstract Map.
IEEE Trans. Cogn. Dev. Syst., 2021

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection.
CoRR, 2021

Going Deeper into Semi-supervised Person Re-identification.
CoRR, 2021

Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends.
IEEE Access, 2021

Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Keypoint-Aligned Embeddings for Image Retrieval and Re-identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Class Anchor Clustering: A Loss for Distance-based Open Set Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Online Monitoring of Object Detection Performance During Deployment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Semi-supervised Keypoint Localization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

VarifocalNet: An IoU-Aware Dense Object Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Semantics for Robotic Mapping, Perception and Interaction: A Survey.
Found. Trends Robotics, 2020

SWA Object Detection.
CoRR, 2020

Online Monitoring of Object Detection Performance Post-Deployment.
CoRR, 2020

Performance Monitoring of Object Detection During Deployment.
CoRR, 2020

The Robotic Vision Scene Understanding Challenge.
CoRR, 2020

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots.
CoRR, 2020

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers.
CoRR, 2020

Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing.
CoRR, 2020

Close-Proximity Underwater Terrain Mapping Using Learning-based Coarse Range Estimation.
CoRR, 2020

Learning Landmark Guided Embeddings for Animal Re-identification.
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

Probabilistic Object Detection: Definition and Evaluation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
A probabilistic challenge for object detection.
Nat. Mach. Intell., 2019

The Probabilistic Object Detection Challenge.
CoRR, 2019

What Can Robotics Research Learn from Computer Vision Research?
Proceedings of the Robotics Research, 2019

Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Predictive and adaptive maps for long-term visual navigation in changing environments.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection.
Proceedings of the International Conference on Robotics and Automation, 2019

Benchmarking Sampling-based Probabilistic Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Introduction to the Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies.
IEEE Robotics Autom. Lett., 2018

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation.
CoRR, 2018

An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest.
CoRR, 2018

A rapidly deployable classification system using visual data for the application of precision weed management.
Comput. Electron. Agric., 2018

Assisted Control for Semi-Autonomous Power Infrastructure Inspection Using Aerial Vehicles.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Dropout Sampling for Robust Object Detection in Open-Set Conditions.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

A Dynamic Planner for Object Assembly Tasks Based on Learning the Spatial Relationships of Its Parts from a Single Demonstration.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Color and 3-D Information.
IEEE Robotics Autom. Lett., 2017

Robot for weed species plant-specific management.
J. Field Robotics, 2017

Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information.
CoRR, 2017

A transplantable system for weed classification by agricultural robotics.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Towards unsupervised weed scouting for agricultural robotics.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Episode-Based Active Learning with Bayesian Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
DeepFruits: A Fruit Detection System Using Deep Neural Networks.
Sensors, 2016

Find my office: Navigating real space from semantic descriptions.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Place categorization and semantic mapping on a mobile robot.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Visual detection of occluded crop: For automated harvesting.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Rubbing Shoulders With Mobile Service Robots.
IEEE Access, 2015

Evaluation of Features for Leaf Classification in Challenging Conditions.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

On the performance of ConvNet features for place recognition.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Robotic detection and tracking of Crown-of-Thorns starfish.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Robot navigation using human cues: A robot navigation system for symbolic goal-directed exploration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Simultaneous localization and planning on multiple map hypotheses.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Multiple map hypotheses for planning and navigating in non-stationary environments.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Vision-only autonomous navigation using topometric maps.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Eight Weeks of Episodic Visual Navigation Inside a Non-stationary Environment Using Adaptive Spherical Views.
Proceedings of the Field and Service Robotics, 2013

2011
Long-term experiments with an adaptive spherical view representation for navigation in changing environments.
Robotics Auton. Syst., 2011

Long-Term Experiment Using an Adaptive Appearance-Based Map for Visual Navigation by Mobile Robots.
Proceedings of the Towards Autonomous Robotic Systems - 12th Annual Conference, 2011

A Sparse Hybrid Map for Vision-Guided Mobile Robots.
Proceedings of the 5<sup>th</sup> European Conference on Mobile Robots, 2011

2009
An Adaptive Spherical View Representation for Navigation in Changing Environments.
Proceedings of the 4th European Conference on Mobile Robots, 2009

2008
An adaptive appearance-based map for long-term topological localization of mobile robots.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008


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