Robust Face Localisation Using Motion, Colour and Fusion. - Darren E. Butler; Chris McCool; Matthew McKay; Scott Lowther; Vinod Chandran; Sridha Sridharan (DICTA, 2003)

Face Authentication Test on the BANCA Database. - Kieron Messer; Josef Kittler; Mohammad Sadeghi 001; Miroslav Hamouz; Alexey Kostin; Fabien Cardinaux; Sébastien Marcel; Samy Bengio; Conrad Sanderson; Jacek Czyz; Luc Vandendorpe; Chris McCool; et al. (ICPR (4), 2004)

Object Recognition Using Stereo Vision and Higher Order Spectra. - Chris McCool; Vinod Chandran; Anthony N. Nguyen; Sridha Sridharan (DICTA, 2005)

Combined 2D/3D Face Recognition Using Log-Gabor Templates. - Jamie Cook; Chris McCool; Vinod Chandran; Sridha Sridharan (AVSS, 2006)

Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition. - Chris McCool; Jamie Cook; Vinod Chandran; Sridha Sridharan (AVSS, 2006)

Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric. - Clinton Fookes; George Mamic; Chris McCool; Sridha Sridharan (DICTA, 2008)

3D face verification using a free-parts approach. - Chris McCool; Vinod Chandran; Sridha Sridharan; Clinton Fookes (Pattern Recognit. Lett., 2008)

Parts-Based Face Verification Using Local Frequency Bands. - Chris McCool; Sébastien Marcel (ICB, 2009)

Face Video Competition. - Norman Poh; Chi-Ho Chan; Josef Kittler; Sébastien Marcel; Christopher McCool; Enrique Argones-Rúa; José Luis Alba-Castro; Mauricio Villegas; Roberto Paredes; Vitomir Struc; Nikola Pavesic; Albert Ali Salah; et al. (ICB, 2009)

A principled approach to remove false alarms by modelling the context of a face detector. - Cosmin Atanasoaei; Chris McCool; Sébastien Marcel (BMVC, 2010)

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. - Sébastien Marcel; Chris McCool; Pavel Matejka; Timo Ahonen; Jan Cernocký; Shayok Chakraborty; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan; Chi-Ho Chan; Josef Kittler; Norman Poh; Benoit G. B. Fauve; et al. (ICPR Contests, 2010)

On the vulnerability of face verification systems to hill-climbing attacks. - Javier Galbally; Chris McCool; Julian Fiérrez; Sébastien Marcel; Javier Ortega-Garcia (Pattern Recognit., 2010)

Feature distribution modelling techniques for 3D face verification. - Chris McCool; Jordi Sanchez-Riera; Sébastien Marcel (Pattern Recognit. Lett., 2010)

An Evaluation of Video-to-Video Face Verification. - Norman Poh; Chi-Ho Chan; Josef Kittler; Sébastien Marcel; Chris McCool; Enrique Argones-Rúa; José Luis Alba-Castro; Mauricio Villegas; Roberto Paredes; Vitomir Struc; Nikola Pavesic; Albert Ali Salah; et al. (IEEE Trans. Inf. Forensics Secur., 2010)

Inter-session variability modelling and joint factor analysis for face authentication. - Roy Wallace; Mitchell McLaren; Christopher McCool; Sébastien Marcel (IJCB, 2011)

Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data. - Christopher McCool; Sébastien Marcel; Abdenour Hadid; Matti Pietikäinen; Pavel Matejka; Jan Cernocký; Norman Poh; Josef Kittler; Anthony Larcher; Christophe Lévy; Driss Matrouf; Jean-François Bonastre; et al. (ICME Workshops, 2012)

Bi-modal authentication in mobile environments using session variability modelling. - Petr Motlícek; Laurent El Shafey; Roy Wallace; Christopher McCool; Sébastien Marcel (ICPR, 2012)

Bob: a free signal processing and machine learning toolbox for researchers. - André Anjos; Laurent El Shafey; Roy Wallace; Manuel Günther; Christopher McCool; Sébastien Marcel (ACM Multimedia, 2012)

Cross-Pollination of Normalization Techniques From Speaker to Face Authentication Using Gaussian Mixture Models. - Roy Wallace; Mitchell McLaren; Christopher McCool; Sébastien Marcel (IEEE Trans. Inf. Forensics Secur., 2012)

Session variability modelling for face authentication. - Christopher McCool; Roy Wallace; Mitchell McLaren; Laurent El Shafey; Sébastien Marcel (IET Biom., 2013)

A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition. - Laurent El Shafey; Chris McCool; Roy Wallace; Sébastien Marcel (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Mobile Biometrics: Combined Face and Voice Verification for a Mobile Platform. - Philip A. Tresadern; Timothy F. Cootes; Norman Poh; Pavel Matejka; Abdenour Hadid; Christophe Lévy; Christopher McCool; Sébastien Marcel (IEEE Pervasive Comput., 2013)

Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction. - Niko Sünderhauf; Chris McCool; Ben Upcroft; Tristan Perez (CLEF (Working Notes), 2014)

Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. - Johanna Carvajal; Conrad Sanderson; Chris McCool; Brian C. Lovell (MLSDA@PRICAI, 2014)

Local inter-session variability modelling for object classification. - Kaneswaran Anantharajah; ZongYuan Ge; Chris McCool; Simon Denman; Clinton Fookes; Peter Corke; Dian Tjondronegoro; Sridha Sridharan (WACV, 2014)

Summarisation of short-term and long-term videos using texture and colour. - Johanna Carvajal; Chris McCool; Conrad Sanderson (WACV, 2014)

Improved Object Tracking via Bags of Affine Subspaces. - Sareh Abolahrari Shirazi; Conrad Sanderson; Chris McCool; Mehrtash Tafazzoli Harandi (CoRR, 2014)

Bi-modal biometric authentication on mobile phones in challenging conditions. - Elie Khoury 001; Laurent El Shafey; Christopher McCool; Manuel Günther; Sébastien Marcel (Image Vis. Comput., 2014)

Content Specific Feature Learning for Fine-Grained Plant Classification. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Peter Corke (CLEF (Working Notes), 2015)

Subset feature learning for fine-grained category classification. - ZongYuan Ge; Christopher McCool; Conrad Sanderson; Peter I. Corke (CVPR Workshops, 2015)

Bags of Affine Subspaces for Robust Object Tracking. - Sareh Abolahrari Shirazi; Conrad Sanderson; Chris McCool; Mehrtash Tafazzoli Harandi (DICTA, 2015)

Fine-grained bird species recognition via hierarchical subset learning. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Alex Bewley; Zetao Chen; Peter I. Corke (ICIP, 2015)

Modelling local deep convolutional neural network features to improve fine-grained image classification. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Peter Corke (ICIP, 2015)

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

Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification. - Chris McCool; ZongYuan Ge; Peter I. Corke (CLEF (Working Notes), 2016)

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. - ZongYuan Ge; Chris McCool; Conrad Sanderson; Peng Wang 023; Lingqiao Liu; Ian D. Reid 001; Peter I. Corke (DICTA, 2016)

Sweet pepper pose detection and grasping for automated crop harvesting. - Christopher F. Lehnert; Inkyu Sa; Christopher McCool; Ben Upcroft; Tristan Perez (ICRA, 2016)

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

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. - Johanna Carvajal; Chris McCool; Brian C. Lovell; Conrad Sanderson (PAKDD Workshops, 2016)

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. - Johanna Carvajal; Arnold Wiliem; Chris McCool; Brian C. Lovell; Conrad Sanderson (PAKDD Workshops, 2016)

Fine-grained classification via mixture of deep convolutional neural networks. - ZongYuan Ge; Alex Bewley; Christopher McCool; Peter I. Corke; Ben Upcroft; Conrad Sanderson (WACV, 2016)

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research. - Jürgen Leitner; Adam W. Tow; Jake E. Dean; Niko Sünderhauf; Joseph W. Durham; Matthew Cooper 005; Markus Eich; Christopher F. Lehnert; Ruben Mangels; Christopher McCool; Peter Kujala; Lachlan Nicholson; et al. (CoRR, 2016)

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

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

The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research. - Jürgen Leitner; Adam W. Tow; Niko Sünderhauf; Jake E. Dean; Joseph W. Durham; Matthew Cooper 005; Markus Eich; Christopher F. Lehnert; Ruben Mangels; Christopher McCool; Peter T. Kujala; Lachlan Nicholson; et al. (ICRA, 2017)

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

Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester. - Christopher F. Lehnert; Christopher McCool; Tristan Perez (CoRR, 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)

In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study. - Christopher F. Lehnert; Chris McCool; 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)

Autonomous Sweet Pepper Harvesting for Protected Cropping Systems. - Christopher F. Lehnert; Andrew English; Christopher McCool; Adam W. Tow; Tristan Perez (IEEE Robotics Autom. Lett., 2017)

Mixtures of Lightweight Deep Convolutional Neural Networks: Applied to Agricultural Robotics. - Chris McCool; Tristan Perez; Ben Upcroft (IEEE Robotics Autom. Lett., 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 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)

Fruit Quantity and Quality Estimation using a Robotic Vision System. - Michael Halstead; Chris McCool; Simon Denman; Tristan Perez; Clinton Fookes (CoRR, 2018)

3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation. - Christopher F. Lehnert; Dorian Tsai; Anders P. Eriksson; Chris McCool (CoRR, 2018)

A Sweet Pepper Harvesting Robot for Protected Cropping Environments. - Christopher F. Lehnert; Chris McCool; Inkyu Sa; Tristan Perez (CoRR, 2018)

Fruit Quantity and Ripeness Estimation Using a Robotic Vision System. - Michael Halstead; Christopher McCool; Simon Denman; Tristan Perez; Clinton Fookes (IEEE Robotics Autom. Lett., 2018)

Efficacy of Mechanical Weeding Tools: A Study Into Alternative Weed Management Strategies Enabled by Robotics. - Chris McCool; James Beattie 001; Jennifer Firn; Christopher F. Lehnert; Jason Kulk; Owen Bawden; Ray Russell; Tristan Perez (IEEE Robotics Autom. Lett., 2018)

Improving Underwater Obstacle Detection using Semantic Image Segmentation. - Bilal Arain; Chris McCool; Paul Rigby; Daniel Cagara; Matthew Dunbabin (ICRA, 2019)

3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments. - Chris Lehnert; Dorian Tsai; Anders P. Eriksson; Chris McCool (IROS, 2019)

Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. - Michael Halstead; Simon Denman; Clinton Fookes; Chris McCool (DICTA, 2020)

LiDAR Panoptic Segmentation for Autonomous Driving. - Andres Milioto; Jens Behley; Chris McCool; Cyrill Stachniss (IROS, 2020)

Special issue on agricultural robotics. - Chris Lehnert; Chris McCool; Peter Corke; Inkyu Sa; Cyrill Stachniss; Eldert J. van Henten; Juan I. Nieto 001 (J. Field Robotics, 2020)

JFR special issue on agricultural robotics, part 2. - Chris Lehnert; Chris McCool; Cyrill Stachniss; Peter Corke; Inkyu Sa; Juan I. Nieto 001; Eldert J. van Henten (J. Field Robotics, 2020)

Performance improvements of a sweet pepper harvesting robot in protected cropping environments. - Chris Lehnert; Chris McCool; Inkyu Sa; Tristan Perez (J. Field Robotics, 2020)

Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture. - Alireza Ahmadi; Michael Halstead; Chris McCool (GCPR, 2021)

Combining Local and Global Viewpoint Planning for Fruit Coverage. - Tobias Zaenker; Chris Lehnert; Chris McCool; Maren Bennewitz (ECMR, 2021)

PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention. - Claus Smitt; Michael Halstead; Tobias Zaenker; Maren Bennewitz; Chris McCool (ICRA, 2021)

Viewpoint Planning for Fruit Size and Position Estimation. - Tobias Zaenker; Claus Smitt; Chris McCool; Maren Bennewitz (IROS, 2021)

Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields. - Alireza Ahmadi; Michael Halstead; Chris McCool (CoRR, 2021)

Towards Autonomous Visual Navigation in Arable Fields. - Alireza Ahmadi; Michael Halstead; Chris McCool (IROS, 2022)

BonnBot-I: A Precise Weed Management and Crop Monitoring Platform. - Alireza Ahmadi; Michael Halstead; Chris McCool (IROS, 2022)

Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. - Federico Magistri; Elias Marks; Sumanth Nagulavancha; Ignacio Vizzo; Thomas Läbe; Jens Behley; Michael Halstead; Chris McCool; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2022)

Explicitly Incorporating Spatial Information to Recurrent Networks for Agriculture. - Claus Smitt; Michael Halstead; Alireza Ahmadi; Chris McCool (IEEE Robotics Autom. Lett., 2022)

Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture. - Maohui Li; Michael Halstead; Chris McCool (IROS, 2023)

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. - Yue Pan; Federico Magistri; Thomas Läbe; Elias Marks; Claus Smitt; Chris McCool; Jens Behley; Cyrill Stachniss (IROS, 2023)

Panoptic One-Click Segmentation: Applied to Agricultural Data. - Patrick Zimmer; Michael Halstead; Chris McCool (IEEE Robotics Autom. Lett., 2023)

Special Issue on the 10th European Conference on Mobile Robots (ECMR 2021). - Chris McCool; Emanuele Menegatti; Sven Behnke (Robotics Auton. Syst., 2023)

Knowledge Distillation for Efficient Instance Semantic Segmentation with Transformers. - Maohui Li; Michael Halstead; Chris McCool (CVPR Workshops, 2024)

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. - Federico Magistri; Thomas Läbe; Elias Marks; Sumanth Nagulavancha; Yue Pan; Claus Smitt; Lasse Klingbeil; Michael Halstead; Heiner Kuhlmann; Chris McCool; Jens Behley; Cyrill Stachniss (CoRR, 2024)

A cross-domain challenge with panoptic segmentation in agriculture. - Michael Halstead; Patrick Zimmer; Chris McCool (Int. J. Robotics Res., 2024)

PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. - Claus Smitt; Michael Halstead; Patrick Zimmer; Thomas Läbe; Esra Guclu; Cyrill Stachniss; Chris McCool (IEEE Robotics Autom. Lett., 2024)

BonnBot-I Plus: A Bio-Diversity Aware Precise Weed Management Robotic Platform. - Alireza Ahmadi; Michael Halstead; Claus Smitt; Chris McCool (IEEE Robotics Autom. Lett., 2024)