Chris McCool

Emanuele Menegatti

Sven Behnke

Robotics Auton. Syst., May, 2023

Panoptic One-Click Segmentation: Applied to Agricultural Data.

[BibT_eX]

[DOI]

Patrick Zimmer

IEEE Robotics Autom. Lett., May, 2023

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots.

[BibT_eX]

[DOI]

IROS, 2023

Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture.

[BibT_eX]

[DOI]

Maohui Li

IROS, 2023

2022

Explicitly Incorporating Spatial Information to Recurrent Networks for Agriculture.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

BonnBot-I: A Precise Weed Management and Crop Monitoring Platform.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Towards Autonomous Visual Navigation in Arable Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields.

[BibT_eX]

[DOI]

CoRR, 2021

Viewpoint Planning for Fruit Size and Position Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Combining Local and Global Viewpoint Planning for Fruit Coverage.

[BibT_eX]

[DOI]

Proceedings of the 10th European Conference on Mobile Robots, 2021

Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Performance improvements of a sweet pepper harvesting robot in protected cropping environments.

[BibT_eX]

[DOI]

J. Field Robotics, 2020

JFR special issue on agricultural robotics, part 2.

[BibT_eX]

[DOI]

J. Field Robotics, 2020

Special issue on agricultural robotics.

[BibT_eX]

[DOI]

J. Field Robotics, 2020

LiDAR Panoptic Segmentation for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar.

[BibT_eX]

[DOI]

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019

3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Improving Underwater Obstacle Detection using Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Efficacy of Mechanical Weeding Tools: A Study Into Alternative Weed Management Strategies Enabled by Robotics.

[BibT_eX]

[DOI]

James Beattie

Jennifer Firn

IEEE Robotics Autom. Lett., 2018

Fruit Quantity and Ripeness Estimation Using a Robotic Vision System.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

A Sweet Pepper Harvesting Robot for Protected Cropping Environments.

[BibT_eX]

[DOI]

CoRR, 2018

3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation.

[BibT_eX]

[DOI]

Dorian Tsai

Anders P. Eriksson

CoRR, 2018

Fruit Quantity and Quality Estimation using a Robotic Vision System.

[BibT_eX]

[DOI]

CoRR, 2018

A rapidly deployable classification system using visual data for the application of precision weed management.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2018

2017

Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Color and 3-D Information.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2017

Mixtures of Lightweight Deep Convolutional Neural Networks: Applied to Agricultural Robotics.

[BibT_eX]

[DOI]

Ben Upcroft

IEEE Robotics Autom. Lett., 2017

Autonomous Sweet Pepper Harvesting for Protected Cropping Systems.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2017

Robot for weed species plant-specific management.

[BibT_eX]

[DOI]

J. Field Robotics, 2017

In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester.

[BibT_eX]

[DOI]

Christopher McCool

CoRR, 2017

A transplantable system for weed classification by agricultural robotics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Towards unsupervised weed scouting for agricultural robotics.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

DeepFruits: A Fruit Detection System Using Deep Neural Networks.

[BibT_eX]

[DOI]

Sensors, 2016

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research.

[BibT_eX]

[DOI]

CoRR, 2016

Fine-grained classification via mixture of deep convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Visual detection of occluded crop: For automated harvesting.

[BibT_eX]

[DOI]

Christopher McCool

Feras Dayoub

Ben Upcroft

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Sweet pepper pose detection and grasping for automated crop harvesting.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification.

[BibT_eX]

[DOI]

ZongYuan Ge

Peter I. Corke

Proceedings of the Working Notes of CLEF 2016, 2016

2015

Evaluation of Features for Leaf Classification in Challenging Conditions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Modelling local deep convolutional neural network features to improve fine-grained image classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Fine-grained bird species recognition via hierarchical subset learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Bags of Affine Subspaces for Robust Object Tracking.

[BibT_eX]

[DOI]

Sareh Abolahrari Shirazi

Conrad Sanderson

Mehrtash Tafazzoli Harandi

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Subset feature learning for fine-grained category classification.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Content Specific Feature Learning for Fine-Grained Plant Classification.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2015, 2015

2014

Bi-modal biometric authentication on mobile phones in challenging conditions.

[BibT_eX]

[DOI]

Image Vis. Comput., 2014

Improved Object Tracking via Bags of Affine Subspaces.

[BibT_eX]

[DOI]

Sareh Abolahrari Shirazi

Conrad Sanderson

Mehrtash Tafazzoli Harandi

CoRR, 2014

Summarisation of short-term and long-term videos using texture and colour.

[BibT_eX]

[DOI]

Johanna Carvajal

Conrad Sanderson

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Local inter-session variability modelling for object classification.

[BibT_eX]

[DOI]

Kaneswaran Anantharajah

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients.

[BibT_eX]

[DOI]

Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, 2014

Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction.

[BibT_eX]

[DOI]

Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013

Mobile Biometrics: Combined Face and Voice Verification for a Mobile Platform.

[BibT_eX]

[DOI]

IEEE Pervasive Comput., 2013

A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Session variability modelling for face authentication.

[BibT_eX]

[DOI]

IET Biom., 2013

2012

Cross-Pollination of Normalization Techniques From Speaker to Face Authentication Using Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2012

Bob: a free signal processing and machine learning toolbox for researchers.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Bi-modal authentication in mobile environments using session variability modelling.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data.

[BibT_eX]

[DOI]

Jean-François Bonastre

Philip A. Tresadern

Timothy F. Cootes

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo Workshops, 2012

2011

Inter-session variability modelling and joint factor analysis for face authentication.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

2010

An Evaluation of Video-to-Video Face Verification.

[BibT_eX]

[DOI]

José Luis Alba-Castro

IEEE Trans. Inf. Forensics Secur., 2010

Feature distribution modelling techniques for 3D face verification.

[BibT_eX]

[DOI]

Jordi Sanchez-Riera

Sébastien Marcel

Pattern Recognit. Lett., 2010

On the vulnerability of face verification systems to hill-climbing attacks.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

A principled approach to remove false alarms by modelling the context of a face detector.

[BibT_eX]

[DOI]

Cosmin Atanasoaei

Sébastien Marcel

Proceedings of the British Machine Vision Conference, 2010

2009

Face Video Competition.

[BibT_eX]

[DOI]

José Luis Alba-Castro

Proceedings of the Advances in Biometrics, Third International Conference, 2009

Parts-Based Face Verification Using Local Frequency Bands.

[BibT_eX]

[DOI]