Chris McCool

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 57

Top Topics

Convolutional Neural Network

Robust Object Tracking

Position Estimation

Top Venues

IEEE Robotics Autom. Lett.

J. Field Robotics

Publications

Claus Smitt, Michael Halstead, Patrick Zimmer, Thomas Läbe, Esra Guclu, Cyrill Stachniss, Chris McCool
PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. IEEE Robotics Autom. Lett. 9 (1) (2024)
Alireza Ahmadi, Michael Halstead, Claus Smitt, Chris McCool
BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform. CoRR (2024)
Michael Halstead, Patrick Zimmer, Chris McCool
A cross-domain challenge with panoptic segmentation in agriculture. Int. J. Robotics Res. 43 (8) (2024)
Alireza Ahmadi, Michael Halstead, Claus Smitt, Chris McCool
BonnBot-I Plus: A Bio-Diversity Aware Precise Weed Management Robotic Platform. IEEE Robotics Autom. Lett. 9 (7) (2024)
Federico Magistri, Thomas Läbe, Elias Marks, Sumanth Nagulavancha, Yue Pan, Claus Smitt, Lasse Klingbeil, Michael Halstead, Heiner Kuhlmann, Chris McCool, Jens Behley, Cyrill Stachniss
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics. CoRR (2024)
Alireza Ahmadi, Michael Halstead, Chris McCool
BonnBot-I: A Precise Weed Management and Crop Monitoring Platform. CoRR (2023)
Patrick Zimmer, Michael Halstead, Chris McCool
Panoptic One-Click Segmentation: Applied to Agricultural Data. CoRR (2023)
Patrick Zimmer, Michael Halstead, Chris McCool
Panoptic One-Click Segmentation: Applied to Agricultural Data. IEEE Robotics Autom. Lett. 8 (5) (2023)
Maohui Li, Michael Halstead, Chris McCool
Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture. IROS (2023)
Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley, Cyrill Stachniss
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. IROS (2023)
Chris McCool, Emanuele Menegatti, Sven Behnke
Special Issue on the 10th European Conference on Mobile Robots (ECMR 2021). Robotics Auton. Syst. 163 (2023)
Claus Smitt, Michael Halstead, Patrick Zimmer, Thomas Läbe, Esra Guclu, Cyrill Stachniss, Chris McCool
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics. CoRR (2023)
Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley, Cyrill Stachniss
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. CoRR (2023)
Claus Smitt, Michael Halstead, Alireza Ahmadi, Chris McCool
Explicitly Incorporating Spatial Information to Recurrent Networks for Agriculture. IEEE Robotics Autom. Lett. 7 (4) (2022)
Alireza Ahmadi, Michael Halstead, Chris McCool
Towards Autonomous Visual Navigation in Arable Fields. IROS (2022)
Federico Magistri, Elias Marks, Sumanth Nagulavancha, Ignacio Vizzo, Thomas Läbe, Jens Behley, Michael Halstead, Chris McCool, Cyrill Stachniss
Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. IEEE Robotics Autom. Lett. 7 (4) (2022)
Alireza Ahmadi, Michael Halstead, Chris McCool
BonnBot-I: A Precise Weed Management and Crop Monitoring Platform. IROS (2022)
Claus Smitt, Michael Halstead, Alireza Ahmadi, Chris McCool
Explicitly incorporating spatial information to recurrent networks for agriculture. CoRR (2022)
Alireza Ahmadi, Michael Halstead, Chris McCool
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture. CoRR (2021)
Alireza Ahmadi, Michael Halstead, Chris McCool
Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture. GCPR (2021)
Claus Smitt, Michael Halstead, Tobias Zaenker, Maren Bennewitz, Chris McCool
PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention. ICRA (2021)
Alireza Ahmadi, Michael Halstead, Chris McCool
Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields. CoRR (2021)
Tobias Zaenker, Chris Lehnert, Chris McCool, Maren Bennewitz
Combining Local and Global Viewpoint Planning for Fruit Coverage. CoRR (2021)
Tobias Zaenker, Chris Lehnert, Chris McCool, Maren Bennewitz
Combining Local and Global Viewpoint Planning for Fruit Coverage. ECMR (2021)
Tobias Zaenker, Claus Smitt, Chris McCool, Maren Bennewitz
Viewpoint Planning for Fruit Size and Position Estimation. IROS (2021)
Chris Lehnert, Chris McCool, Inkyu Sa, Tristan Perez
Performance improvements of a sweet pepper harvesting robot in protected cropping environments. J. Field Robotics 37 (7) (2020)
Andres Milioto, Jens Behley, Chris McCool, Cyrill Stachniss
LiDAR Panoptic Segmentation for Autonomous Driving. IROS (2020)
Chris Lehnert, Chris McCool, Cyrill Stachniss, Peter Corke, Inkyu Sa, Juan I. Nieto, Eldert J. van Henten
JFR special issue on agricultural robotics, part 2. J. Field Robotics 37 (2) (2020)
Chris Lehnert, Chris McCool, Peter Corke, Inkyu Sa, Cyrill Stachniss, Eldert J. van Henten, Juan I. Nieto
Special issue on agricultural robotics. J. Field Robotics 37 (1) (2020)
Tobias Zaenker, Claus Smitt, Chris McCool, Maren Bennewitz
Viewpoint Planning for Fruit Size and Position Estimation. CoRR (2020)
Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool
Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. DICTA (2020)
Claus Smitt, Michael Halstead, Tobias Zaenker, Maren Bennewitz, Chris McCool
PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention. CoRR (2020)
Chris Lehnert, Dorian Tsai, Anders P. Eriksson, Chris McCool
3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments. IROS (2019)
Bilal Arain, Chris McCool, Paul Rigby, Daniel Cagara, Matthew Dunbabin
Improving Underwater Obstacle Detection using Semantic Image Segmentation. ICRA (2019)
Christopher F. Lehnert, Chris McCool, Inkyu Sa, Tristan Perez
A Sweet Pepper Harvesting Robot for Protected Cropping Environments. CoRR (2018)
Michael Halstead, Chris McCool, Simon Denman, Tristan Perez, Clinton Fookes
Fruit Quantity and Quality Estimation using a Robotic Vision System. CoRR (2018)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management. CoRR (2018)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A rapidly deployable classification system using visual data for the application of precision weed management. Comput. Electron. Agric. 148 (2018)
Christopher F. Lehnert, Dorian Tsai, Anders P. Eriksson, Chris McCool
3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation. CoRR (2018)
Chris McCool, James Beattie, Jennifer Firn, Christopher F. Lehnert, Jason Kulk, Owen Bawden, Ray Russell, Tristan Perez
Efficacy of Mechanical Weeding Tools: A Study Into Alternative Weed Management Strategies Enabled by Robotics. IEEE Robotics Autom. Lett. 3 (2) (2018)
David Hall, Feras Dayoub, Jason Kulk, Chris McCool
Towards Unsupervised Weed Scouting for Agricultural Robotics. CoRR (2017)
Owen Bawden, Jason Kulk, Ray Russell, Chris McCool, Andrew English, Feras Dayoub, Christopher F. Lehnert, Tristan Perez
Robot for weed species plant-specific management. J. Field Robotics 34 (6) (2017)
Christopher F. Lehnert, Andrew English, Chris McCool, Adam W. Tow, Tristan Perez
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems. CoRR (2017)
Christopher F. Lehnert, Chris McCool, Tristan Perez
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study. CoRR (2017)
Inkyu Sa, Christopher F. Lehnert, Andrew English, Chris McCool, Feras Dayoub, Ben Upcroft, Tristan Perez
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information. CoRR (2017)
Chris McCool, Tristan Perez, Ben Upcroft
Mixtures of Lightweight Deep Convolutional Neural Networks: Applied to Agricultural Robotics. IEEE Robotics Autom. Lett. 2 (3) (2017)
David Hall, Feras Dayoub, Jason Kulk, Chris McCool
Towards unsupervised weed scouting for agricultural robotics. ICRA (2017)
David Hall, Feras Dayoub, Tristan Perez, Chris McCool
A transplantable system for weed classification by agricultural robotics. IROS (2017)
Inkyu Sa, Christopher F. Lehnert, Andrew English, Chris McCool, Feras Dayoub, Ben Upcroft, Tristan Perez
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Color and 3-D Information. IEEE Robotics Autom. Lett. 2 (2) (2017)
Inkyu Sa, ZongYuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez, Chris McCool
DeepFruits: A Fruit Detection System Using Deep Neural Networks. Sensors 16 (8) (2016)
Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. PAKDD Workshops (2016)
Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. PAKDD Workshops (2016)
ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification. CoRR (2016)
Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. CoRR (2016)
ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke
Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. DICTA (2016)
Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. CoRR (2016)
Chris McCool, ZongYuan Ge, Peter I. Corke
Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification. CLEF (Working Notes) (2016)
ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke
Content Specific Feature Learning for Fine-Grained Plant Classification. CLEF (Working Notes) (2015)
ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke
Modelling local deep convolutional neural network features to improve fine-grained image classification. ICIP (2015)
David Hall, Chris McCool, Feras Dayoub, Niko Sünderhauf, Ben Upcroft
Evaluation of Features for Leaf Classification in Challenging Conditions. WACV (2015)
Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi
Bags of Affine Subspaces for Robust Object Tracking. DICTA (2015)
ZongYuan Ge, Chris McCool, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke
Fine-grained bird species recognition via hierarchical subset learning. ICIP (2015)
ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification. CoRR (2015)
Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. CoRR (2015)
Kaneswaran Anantharajah, ZongYuan Ge, Chris McCool, Simon Denman, Clinton Fookes, Peter Corke, Dian Tjondronegoro, Sridha Sridharan
Local inter-session variability modelling for object classification. WACV (2014)
Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi
Improved Object Tracking via Bags of Affine Subspaces. CoRR (2014)
Niko Sünderhauf, Chris McCool, Ben Upcroft, Tristan Perez
Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction. CLEF (Working Notes) (2014)
Johanna Carvajal, Chris McCool, Conrad Sanderson
Summarisation of Short-Term and Long-Term Videos using Texture and Colour. CoRR (2014)
Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. MLSDA@PRICAI (2014)
Johanna Carvajal, Chris McCool, Conrad Sanderson
Summarisation of short-term and long-term videos using texture and colour. WACV (2014)
Laurent El Shafey, Chris McCool, Roy Wallace, Sébastien Marcel
A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35 (7) (2013)
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, Hui Fang, Nicholas Costen
An Evaluation of Video-to-Video Face Verification. IEEE Trans. Inf. Forensics Secur. 5 (4) (2010)
Javier Galbally, Chris McCool, Julian Fiérrez, Sébastien Marcel, Javier Ortega-Garcia
On the vulnerability of face verification systems to hill-climbing attacks. Pattern Recognit. 43 (3) (2010)
Cosmin Atanasoaei, Chris McCool, Sébastien Marcel
A principled approach to remove false alarms by modelling the context of a face detector. BMVC (2010)
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, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests (2010)
Chris McCool, Jordi Sanchez-Riera, Sébastien Marcel
Feature distribution modelling techniques for 3D face verification. Pattern Recognit. Lett. 31 (11) (2010)
Chris McCool, Sébastien Marcel
Parts-Based Face Verification Using Local Frequency Bands. ICB (2009)
Clinton Fookes, George Mamic, Chris McCool, Sridha Sridharan
Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric. DICTA (2008)
Chris McCool, Vinod Chandran, Sridha Sridharan, Clinton Fookes
3D face verification using a free-parts approach. Pattern Recognit. Lett. 29 (9) (2008)
Chris McCool, Jamie Cook, Vinod Chandran, Sridha Sridharan
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition. AVSS (2006)
Jamie Cook, Chris McCool, Vinod Chandran, Sridha Sridharan
Combined 2D/3D Face Recognition Using Log-Gabor Templates. AVSS (2006)
Chris McCool, Vinod Chandran, Anthony N. Nguyen, Sridha Sridharan
Object Recognition Using Stereo Vision and Higher Order Spectra. DICTA (2005)
Kieron Messer, Josef Kittler, Mohammad Sadeghi, Miroslav Hamouz, Alexey Kostin, Fabien Cardinaux, Sébastien Marcel, Samy Bengio, Conrad Sanderson, Jacek Czyz, Luc Vandendorpe, Chris McCool, Scott Lowther, Sridha Sridharan, Vinod Chandran, Roberto Paredes Palacios, Enrique Vidal, Li Bai, LinLin Shen, Yan Wang, Yueh-Hsuan Chiang, Hsien-Chang Liu, Yi-Ping Hung, Alexander Heinrichs, Marco K. Müller, Andreas Tewes, Christoph von der Malsburg, Rolf P. Würtz, Zhenger Wang, Feng Xue, Yong Ma, Qiong Yang, Chi Fang, Xiaoqing Ding, Simon Lucey, Ralph Goss, Henry Schneiderman, Norman Poh, Yann Rodriguez
Face Authentication Test on the BANCA Database. ICPR (4) (2004)
Darren E. Butler, Chris McCool, Matthew McKay, Scott Lowther, Vinod Chandran, Sridha Sridharan
Robust Face Localisation Using Motion, Colour and Fusion. DICTA (2003)