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Chris McCool
Christopher McCool
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2020 – today
- 2024
- [j27]Michael Halstead
, Patrick Zimmer
A cross-domain challenge with panoptic segmentation in agriculture. Int. J. Robotics Res. 43(8): 1151-1174 (2024) - [j26]Claus Smitt
PAg-NeRF: Towards Fast and Efficient End-to-End Panoptic 3D Representations for Agricultural Robotics. IEEE Robotics Autom. Lett. 9(1): 907-914 (2024) - [j25]Alireza Ahmadi
BonnBot-I Plus: A Bio-Diversity Aware Precise Weed Management Robotic Platform. IEEE Robotics Autom. Lett. 9(7): 6560-6567 (2024) - [c47]Maohui Li, Michael Halstead, Chris McCool:
Knowledge Distillation for Efficient Instance Semantic Segmentation with Transformers. CVPR Workshops 2024: 5432-5439 - [i31]Alireza Ahmadi, Michael Halstead, Claus Smitt, Chris McCool:
BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform. CoRR abs/2405.09118 (2024) - [i30]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 abs/2407.13304 (2024) - 2023
- [j24]Patrick Zimmer
Panoptic One-Click Segmentation: Applied to Agricultural Data. IEEE Robotics Autom. Lett. 8(5): 2478-2485 (2023) - [j23]Chris McCool, Emanuele Menegatti, Sven Behnke
Special Issue on the 10th European Conference on Mobile Robots (ECMR 2021). Robotics Auton. Syst. 163: 104380 (2023) - [c46]Maohui Li, Michael Halstead, Chris McCool
Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture. IROS 2023: 4204-4211 - [c45]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. IROS 2023: 4226-4233 - [i29]Patrick Zimmer, Michael Halstead, Chris McCool:
Panoptic One-Click Segmentation: Applied to Agricultural Data. CoRR abs/2303.08689 (2023) - [i28]Yue Pan, Federico Magistri, Thomas Läbe, Elias Marks, Claus Smitt, Chris McCool, Jens Behley
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots. CoRR abs/2303.08923 (2023) - [i27]Alireza Ahmadi, Michael Halstead, Chris McCool:
BonnBot-I: A Precise Weed Management and Crop Monitoring Platform. CoRR abs/2307.12588 (2023) - [i26]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 abs/2309.05339 (2023) - 2022
- [j22]Claus Smitt
Explicitly Incorporating Spatial Information to Recurrent Networks for Agriculture. IEEE Robotics Autom. Lett. 7(4): 10017-10024 (2022) - [j21]Federico Magistri
Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames. IEEE Robotics Autom. Lett. 7(4): 10120-10127 (2022) - [c44]Alireza Ahmadi, Michael Halstead, Chris McCool
Towards Autonomous Visual Navigation in Arable Fields. IROS 2022: 6585-6592 - [c43]Alireza Ahmadi, Michael Halstead, Chris McCool
BonnBot-I: A Precise Weed Management and Crop Monitoring Platform. IROS 2022: 9202-9209 - [i25]Claus Smitt, Michael Halstead, Alireza Ahmadi, Chris McCool:
Explicitly incorporating spatial information to recurrent networks for agriculture. CoRR abs/2206.13406 (2022) - 2021
- [c42]Alireza Ahmadi
Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture. GCPR 2021: 574-588 - [c41]Tobias Zaenker, Chris Lehnert
Combining Local and Global Viewpoint Planning for Fruit Coverage. ECMR 2021: 1-7 - [c40]Claus Smitt, Michael Halstead, Tobias Zaenker, Maren Bennewitz, Chris McCool
PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention. ICRA 2021: 2324-2330 - [c39]Tobias Zaenker, Claus Smitt, Chris McCool
Viewpoint Planning for Fruit Size and Position Estimation. IROS 2021: 3271-3277 - [e1]Sven Behnke
10th European Conference on Mobile Robots, ECMR 2021, Bonn, Germany, August 31 - Sept. 3, 2021. IEEE 2021, ISBN 978-1-6654-1213-1 [contents] - [i24]Alireza Ahmadi, Michael Halstead, Chris McCool:
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture. CoRR abs/2106.10118 (2021) - [i23]Tobias Zaenker, Chris Lehnert, Chris McCool, Maren Bennewitz:
Combining Local and Global Viewpoint Planning for Fruit Coverage. CoRR abs/2108.08114 (2021) - [i22]Alireza Ahmadi, Michael Halstead, Chris McCool:
Towards Autonomous Crop-Agnostic Visual Navigation in Arable Fields. CoRR abs/2109.11936 (2021) - 2020
- [j20]Chris Lehnert
Special issue on agricultural robotics. J. Field Robotics 37(1): 5-6 (2020) - [j19]Chris Lehnert
JFR special issue on agricultural robotics, part 2. J. Field Robotics 37(2): 185-186 (2020) - [j18]Chris Lehnert
Performance improvements of a sweet pepper harvesting robot in protected cropping environments. J. Field Robotics 37(7): 1197-1223 (2020) - [c38]Michael Halstead, Simon Denman, Clinton Fookes, Chris McCool
Fruit Detection in the Wild: The Impact of Varying Conditions and Cultivar. DICTA 2020: 1-8 - [c37]Andres Milioto, Jens Behley
LiDAR Panoptic Segmentation for Autonomous Driving. IROS 2020: 8505-8512 - [i21]Claus Smitt, Michael Halstead, Tobias Zaenker, Maren Bennewitz, Chris McCool:
PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention. CoRR abs/2010.16272 (2020) - [i20]Tobias Zaenker, Claus Smitt, Chris McCool, Maren Bennewitz:
Viewpoint Planning for Fruit Size and Position Estimation. CoRR abs/2011.00275 (2020)
2010 – 2019
- 2019
- [c36]Bilal Arain
Improving Underwater Obstacle Detection using Semantic Image Segmentation. ICRA 2019: 9271-9277 - [c35]Chris Lehnert
3D Move to See: Multi-perspective visual servoing towards the next best view within unstructured and occluded environments. IROS 2019: 3890-3897 - 2018
- [j17]David Hall
A rapidly deployable classification system using visual data for the application of precision weed management. Comput. Electron. Agric. 148: 107-120 (2018) - [j16]Chris McCool
Efficacy of Mechanical Weeding Tools: A Study Into Alternative Weed Management Strategies Enabled by Robotics. IEEE Robotics Autom. Lett. 3(2): 1184-1190 (2018) - [j15]Michael Halstead
Fruit Quantity and Ripeness Estimation Using a Robotic Vision System. IEEE Robotics Autom. Lett. 3(4): 2995-3002 (2018) - [i19]Michael Halstead, Chris McCool, Simon Denman, Tristan Perez, Clinton Fookes:
Fruit Quantity and Quality Estimation using a Robotic Vision System. CoRR abs/1801.05560 (2018) - [i18]David Hall, Feras Dayoub, Tristan Perez, Chris McCool:
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management. CoRR abs/1801.08613 (2018) - [i17]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 abs/1809.07896 (2018) - [i16]Christopher F. Lehnert, Chris McCool, Inkyu Sa, Tristan Perez:
A Sweet Pepper Harvesting Robot for Protected Cropping Environments. CoRR abs/1810.11920 (2018) - 2017
- [j14]Owen Bawden
Robot for weed species plant-specific management. J. Field Robotics 34(6): 1179-1199 (2017) - [j13]Inkyu Sa
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Color and 3-D Information. IEEE Robotics Autom. Lett. 2(2): 765-772 (2017) - [j12]Christopher F. Lehnert
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems. IEEE Robotics Autom. Lett. 2(2): 872-879 (2017) - [j11]Chris McCool
Mixtures of Lightweight Deep Convolutional Neural Networks: Applied to Agricultural Robotics. IEEE Robotics Autom. Lett. 2(3): 1344-1351 (2017) - [c34]Jürgen Leitner
The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research. ICRA 2017: 4705-4712 - [c33]David Hall
Towards unsupervised weed scouting for agricultural robotics. ICRA 2017: 5223-5230 - [c32]David Hall
A transplantable system for weed classification by agricultural robotics. IROS 2017: 5174-5179 - [i15]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 abs/1701.08608 (2017) - [i14]David Hall, Feras Dayoub, Jason Kulk, Chris McCool:
Towards Unsupervised Weed Scouting for Agricultural Robotics. CoRR abs/1702.01247 (2017) - [i13]Christopher F. Lehnert, Andrew English, Chris McCool, Adam W. Tow, Tristan Perez:
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems. CoRR abs/1706.02023 (2017) - [i12]Christopher F. Lehnert, Christopher McCool, Tristan Perez:
Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester. CoRR abs/1706.06203 (2017) - [i11]Christopher F. Lehnert, Chris McCool, Tristan Perez:
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study. CoRR abs/1709.10275 (2017) - 2016
- [j10]Inkyu Sa, ZongYuan Ge
DeepFruits: A Fruit Detection System Using Deep Neural Networks. Sensors 16(8): 1222 (2016) - [c31]Chris McCool, ZongYuan Ge, Peter I. Corke:
Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification. CLEF (Working Notes) 2016: 511-517 - [c30]ZongYuan Ge
Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. DICTA 2016: 1-6 - [c29]Christopher F. Lehnert
Sweet pepper pose detection and grasping for automated crop harvesting. ICRA 2016: 2428-2434 - [c28]Christopher McCool
Visual detection of occluded crop: For automated harvesting. ICRA 2016: 2506-2512 - [c27]Johanna Carvajal, Arnold Wiliem
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. PAKDD Workshops 2016: 88-100 - [c26]Johanna Carvajal, Chris McCool
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. PAKDD Workshops 2016: 115-127 - [c25]ZongYuan Ge
Fine-grained classification via mixture of deep convolutional neural networks. WACV 2016: 1-6 - [i10]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 abs/1602.01599 (2016) - [i9]Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. CoRR abs/1602.01601 (2016) - [i8]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 abs/1608.00486 (2016) - [i7]Jürgen Leitner, Adam W. Tow, Jake E. Dean, Niko Sünderhauf, Joseph W. Durham, Matthew Cooper, Markus Eich, Christopher F. Lehnert, Ruben Mangels, Christopher McCool, Peter Kujala, Lachlan Nicholson, Trung Pham, James Sergeant, Fangyi Zhang, Ben Upcroft, Peter I. Corke:
The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research. CoRR abs/1609.05258 (2016) - 2015
- [c24]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke:
Content Specific Feature Learning for Fine-Grained Plant Classification. CLEF (Working Notes) 2015 - [c23]ZongYuan Ge
Subset feature learning for fine-grained category classification. CVPR Workshops 2015: 46-52 - [c22]Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool
Bags of Affine Subspaces for Robust Object Tracking. DICTA 2015: 1-7 - [c21]ZongYuan Ge
Fine-grained bird species recognition via hierarchical subset learning. ICIP 2015: 561-565 - [c20]ZongYuan Ge
Modelling local deep convolutional neural network features to improve fine-grained image classification. ICIP 2015: 4112-4116 - [c19]David Hall
Evaluation of Features for Leaf Classification in Challenging Conditions. WACV 2015: 797-804 - [i6]Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell:
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. CoRR abs/1502.01782 (2015) - [i5]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke:
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification. CoRR abs/1502.07802 (2015) - [i4]ZongYuan Ge, Christopher McCool, Conrad Sanderson, Peter I. Corke:
Subset Feature Learning for Fine-Grained Category Classification. CoRR abs/1505.02269 (2015) - [i3]ZongYuan Ge, Alex Bewley, Christopher McCool, Ben Upcroft, Peter Corke, Conrad Sanderson:
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks. CoRR abs/1511.09209 (2015) - 2014
- [j9]Elie Khoury
Bi-modal biometric authentication on mobile phones in challenging conditions. Image Vis. Comput. 32(12): 1147-1160 (2014) - [c18]Niko Sünderhauf, Chris McCool, Ben Upcroft, Tristan Perez:
Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction. CLEF (Working Notes) 2014: 756-762 - [c17]Johanna Carvajal, Conrad Sanderson, Chris McCool
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. MLSDA@PRICAI 2014: 19 - [c16]Kaneswaran Anantharajah, ZongYuan Ge
Local inter-session variability modelling for object classification. WACV 2014: 309-316 - [c15]Johanna Carvajal, Chris McCool
Summarisation of short-term and long-term videos using texture and colour. WACV 2014: 769-775 - [i2]Johanna Carvajal, Chris McCool, Conrad Sanderson:
Summarisation of Short-Term and Long-Term Videos using Texture and Colour. CoRR abs/1403.0315 (2014) - [i1]Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi:
Improved Object Tracking via Bags of Affine Subspaces. CoRR abs/1408.2313 (2014) - 2013
- [j8]Christopher McCool
Session variability modelling for face authentication. IET Biom. 2(3): 117-129 (2013) - [j7]Laurent El Shafey, Chris McCool
A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1788-1794 (2013) - [j6]Philip A. Tresadern, Timothy F. Cootes
Mobile Biometrics: Combined Face and Voice Verification for a Mobile Platform. IEEE Pervasive Comput. 12(1): 79-87 (2013) - 2012
- [j5]Roy Wallace, Mitchell McLaren, Christopher McCool
Cross-Pollination of Normalization Techniques From Speaker to Face Authentication Using Gaussian Mixture Models. IEEE Trans. Inf. Forensics Secur. 7(2): 553-562 (2012) - [c14]Christopher McCool
Bi-Modal Person Recognition on a Mobile Phone: Using Mobile Phone Data. ICME Workshops 2012: 635-640 - [c13]Petr Motlícek, Laurent El Shafey, Roy Wallace, Christopher McCool, Sébastien Marcel:
Bi-modal authentication in mobile environments using session variability modelling. ICPR 2012: 1100-1103 - [c12]André Anjos
Bob: a free signal processing and machine learning toolbox for researchers. ACM Multimedia 2012: 1449-1452 - 2011
- [c11]Roy Wallace, Mitchell McLaren, Christopher McCool
Inter-session variability modelling and joint factor analysis for face authentication. IJCB 2011: 1-8 - 2010
- [j4]Javier Galbally
On the vulnerability of face verification systems to hill-climbing attacks. Pattern Recognit. 43(3): 1027-1038 (2010) - [j3]Chris McCool
Feature distribution modelling techniques for 3D face verification. Pattern Recognit. Lett. 31(11): 1324-1330 (2010) - [j2]Norman Poh, Chi-Ho Chan, Josef Kittler, Sébastien Marcel, Chris McCool
An Evaluation of Video-to-Video Face Verification. IEEE Trans. Inf. Forensics Secur. 5(4): 781-801 (2010) - [c10]Cosmin Atanasoaei, Chris McCool
A principled approach to remove false alarms by modelling the context of a face detector. BMVC 2010: 1-11 - [c9]Sébastien Marcel, Chris McCool
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests 2010: 210-225
2000 – 2009
- 2009
- [c8]Chris McCool
Parts-Based Face Verification Using Local Frequency Bands. ICB 2009: 259-268 - [c7]Norman Poh, Chi-Ho Chan, Josef Kittler, Sébastien Marcel
Face Video Competition. ICB 2009: 715-724 - 2008
- [j1]Chris McCool
3D face verification using a free-parts approach. Pattern Recognit. Lett. 29(9): 1190-1196 (2008) - [c6]Clinton Fookes
Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric. DICTA 2008: 124-129 - 2006
- [c5]Chris McCool
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition. AVSS 2006: 57 - [c4]Jamie Cook, Chris McCool
Combined 2D/3D Face Recognition Using Log-Gabor Templates. AVSS 2006: 83 - 2005
- [c3]Chris McCool
Object Recognition Using Stereo Vision and Higher Order Spectra. DICTA 2005: 6 - 2004
- [c2]Kieron Messer, Josef Kittler, Mohammad Sadeghi, Miroslav Hamouz, Alexey Kostin, Fabien Cardinaux, Sébastien Marcel, Samy Bengio, Conrad Sanderson, Jacek Czyz, Luc Vandendorpe, Chris McCool
Face Authentication Test on the BANCA Database. ICPR (4) 2004: 523-532 - 2003
- [c1]Darren E. Butler, Chris McCool, Matthew McKay, Scott Lowther, Vinod Chandran, Sridha Sridharan:
Robust Face Localisation Using Motion, Colour and Fusion. DICTA 2003: 899-908
Coauthor Index
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last updated on 2024-10-11 17:26 CEST by the dblp team
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