CM
Chris McCool
cs.CVcs.ROcs.AIcs.LGcs.MAcs.MMcs.SYeess.SYagricultural roboticsautomation
On Valency
published · living versionsW_vg2pnuzf·v1 · currentpublished
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels
with Michael Halstead, Esra Guclu, Mohamed Farag, Enrico Pallotta +5
1 version
W_xsktgvx9·v2published
W_bu77s7mv·v1published
W_qvmhm8q9·v1published
W_br6v5rp9·v1published
W_h8965fen·v1published
W_t6j7akgg·v1published
Preprints & journals
38 papers in the corpus · 2013–2026DropClick: Semi-Automated One-Click Segmentation for Agricultural Robotic Data2609.03680v1 · Patrick Zimmer, Michael Halstead, Chris McCool2026 · 0 citationsarXivon Valency
ST-LoRA: Single Trajectory LoRA Ensemble for Uncertainty Aware Agricultural Segmentation2608.01530v2 · Mohamed Farag, Genc Hoxha, Yahia Maleki et al.2026 · 0 citationsarXivon Valency
Forecasting the Number of Harvest-ready Fruits of Sweet Peppers Using Multimodal Time-Series Data2607.19975v1 · Enrico Pallotta, Mohamed Farag, Esra Guclu et al.2026 · 0 citationsarXivon Valency
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels2607.14934v1 · Michael Halstead, Esra Guclu, Mohamed Farag et al.2026 · 0 citationsarXivon Valency
GemNav: Discrete-Token Visual Robot Navigation using a Multimodal Large Language Model2607.06882v3 · Peter Bohm, Saimunur Rahman, Abdelwahed Khamis et al.2026 · 0 citationsarXiv
A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics2407.13304v3 · Federico Magistri, Thomas Labe, Elias Marks et al.2024 · 4 citationsarXiv
BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform2405.09118v2 · Alireza Ahmadi, Michael Halstead, Claus Smitt et al.2024 · 10 citationsIEEE Robotics and Automation Letters 2024
PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics2309.05339v1 · Claus Smitt, Michael Halstead, Patrick Zimmer et al.2023 · 35 citationsarXiv
BonnBot-I: A Precise Weed Management and Crop Monitoring Platform2307.12588v2 · Alireza Ahmadi, Michael Halstead, Chris McCool2023 · 28 citationsarXiv
Panoptic One-Click Segmentation: Applied to Agricultural Data2303.08689v1 · Patrick Zimmer, Michael Halstead, Chris McCool2023 · 3 citationsarXiv
Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots2303.08923v2 · Yue Pan, Federico Magistri, Thomas Labe et al.2023 · 27 citationsarXiv
Explicitly incorporating spatial information to recurrent networks for agriculture2206.13406v1 · Claus Smitt, Michael Halstead, Alireza Ahmadi et al.2022 · 12 citationsarXiv
Towards Autonomous Visual Navigation in Arable Fields2109.11936v3 · Alireza Ahmadi, Michael Halstead, Chris McCool2021 · 31 citationsIROS 2022 Kyoto Japan
Combining Local and Global Viewpoint Planning for Fruit Coverage2108.08114v1 · Tobias Zaenker, Chris Lehnert, Chris McCool et al.2021 · 22 citationsarXiv
Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture2106.10118v2 · Alireza Ahmadi, Michael Halstead, Chris McCool2021 · 15 citationsarXiv
Viewpoint Planning for Fruit Size and Position Estimation2011.00275v3 · Tobias Zaenker, Claus Smitt, Chris McCool et al.2020 · 50 citationsarXiv
PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention2010.16272v2 · Claus Smitt, Michael Halstead, Tobias Zaenker et al.2020 · 54 citationsarXiv
A Sweet Pepper Harvesting Robot for Protected Cropping Environments1810.11920v1 · Chris Lehnert, Chris McCool, Inkyu Sa et al.2018 · 9 citationsarXiv
3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation1809.07896v1 · Chris Lehnert, Dorian Tsai, Anders Eriksson et al.2018 · 6 citationsarXiv
Automating analysis of vegetation with computer vision: Cover estimates and classification.29988453 · McCool, Chris, Beattie, James, Milford, Michael et al.2023 · 11 citationsEcology and evolution. 2018;8(12):6005-6015
A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management1801.08613v2 · David Hall, Feras Dayoub, Tristan Perez et al.2018 · 23 citationsD. Hall, F. Dayoub, T. Perez, and C. McCool, "A Rapidly Deployable Classification System using Visual Data for the Application of Precision Weed Management," Computers and Electronics in Agriculture, Vol. 148, pp. 107-120, May 2018on Valency
Fruit Quantity and Quality Estimation using a Robotic Vision System1801.05560v1 · M. Halstead, C. McCool, S. Denman et al.2018 · 8 citationsarXiv
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study1709.10275v1 · Chris Lehnert, Chris McCool, Tristan Perez2017 · 2 citationsarXiv
Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester1706.06203v1 · Christopher Lehnert, Christopher McCool, Tristan Perez2017 · 1 citationarXiv
Autonomous Sweet Pepper Harvesting for Protected Cropping Systems1706.02023v1 · Chris Lehnert, Andrew English, Chris McCool et al.2017 · 275 citationsIEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 872-879, April 2017. doi: 10.1109/LRA.2017.2655622on Valency
Towards Unsupervised Weed Scouting for Agricultural Robotics1702.01247v2 · David Hall, Feras Dayoub, Jason Kulk et al.2017 · 43 citationsarXiv
Peduncle Detection of Sweet Pepper for Autonomous Crop Harvesting - Combined Colour and 3D Information1701.08608v1 · Inkyu Sa, Chris Lehnert, Andrew English et al.2017 · 129 citationsarXivon Valency
The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research1609.05258v2 · Jurgen Leitner, Adam W. Tow, Jake E. Dean et al.2016 · 5 citationsarXiv
DeepFruits: A Fruit Detection System Using Deep Neural Networks.27527168 · Sa, Inkyu, Ge, Zongyuan, Dayoub, Feras et al.2018 · 1,111 citationsSensors (Basel, Switzerland). 2016;16(8)
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification1608.00486v3 · ZongYuan Ge, Chris McCool, Conrad Sanderson et al.2016 · 14 citationsarXiv
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions1602.01599v3 · Johanna Carvajal, Arnold Wiliem, Chris McCool et al.2016 · 6 citationsLecture Notes in Computer Science (LNCS), Vol. 9794, pp. 88-100, 2016
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors1602.01601v3 · Johanna Carvajal, Chris McCool, Brian Lovell et al.2016 · 8 citationsLecture Notes in Computer Science (LNCS), Vol. 9794, pp. 115-127, 2016
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks1511.09209v1 · ZongYuan Ge, Alex Bewley, Christopher McCool et al.2015 · 63 citationsarXiv
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification1502.07802v1 · ZongYuan Ge, Chris McCool, Conrad Sanderson et al.2015 · 44 citationsarXiv
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients1502.01782v1 · Johanna Carvajal, Conrad Sanderson, Chris McCool et al.2015 · 11 citationsWorkshop on Machine Learning for Sensory Data Analysis (MLSDA), pp. 19-24, 2014
Bags of Affine Subspaces for Robust Object Tracking1408.2313v3 · Sareh Shirazi, Conrad Sanderson, Chris McCool et al.2014 · 4 citationsarXiv
Summarisation of Short-Term and Long-Term Videos using Texture and Colour1403.0315v1 · Johanna Carvajal, Chris McCool, Conrad Sanderson2014 · 11 citationsarXiv
A scalable formulation of probabilistic linear discriminant analysis: applied to face recognition.23682003 · El Shafey, Laurent, McCool, Chris, Wallace, Roy et al.2013 · 71 citationsIEEE transactions on pattern analysis and machine intelligence. 2013;35(7):1788-94
Career total: 147 works. 38 are in this corpus.
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