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ORCIDAndrew P. French
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- affiliation: University of Nottingham, UK
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2020 – today
- 2024
[c21]Liming Xu, Dave Towey
, Andrew P. French, Steve Benford:
Uncovering the Metaverse within Everyday Environments: A Coarse-to-Fine ApproachBehaviors. COMPSAC 2024: 499-509- [c20]Zane K. J. Hartley, Rob J. Lind, Michael P. Pound, Andrew P. French:
Domain Targeted Synthetic Plant Style Transfer using Stable Diffusion, LoRA and ControlNet. CVPR Workshops 2024: 5375-5383 - [c19]Bowen Deng, Siyang Song, Andrew P. French, Denis Schluppeck, Michael P. Pound:
Advancing Saliency Ranking with Human Fixations: Dataset, Models and Benchmarks. CVPR 2024: 28348-28357 - [c18]Zhendi Gong, Andrew P. French, Guoping Qiu, Xin Chen:
CTranS: A Multi-Resolution Convolution-Transformer Network for Medical Image Segmentation. ISBI 2024: 1-5 - [i7]Liming Xu, Dave Towey, Andrew P. French, Steve Benford:
Uncovering the Metaverse within Everyday Environments: a Coarse-to-Fine Approach. CoRR abs/2404.17587 (2024) - [i6]Muhammad Suhaib Shahid, Gleb E. Yakubov, Andrew P. French:
Ethics of Generating Synthetic MRI Vocal Tract Views from the Face. CoRR abs/2407.08403 (2024) - 2023
- [j11]Bowen Deng, Andrew P. French, Michael P. Pound:
Addressing multiple salient object detection via dual-space long-range dependencies. Comput. Vis. Image Underst. 235: 103776 (2023) - [c17]Zane K. J. Hartley, Rob J. Lind, Nicholas Smith, Bob Collison, Andrew P. French:
Unlocking Comparative Plant Scoring with Siamese Neural Networks and Pairwise Pseudo Labelling. ICCV (Workshops) 2023: 678-684 - [i5]Liming Xu, Dave Towey, Andrew P. French, Steve Benford:
Connecting Everyday Objects with the Metaverse: A Unified Recognition Framework. CoRR abs/2309.06444 (2023) - 2022
- [c16]Liming Xu, Dave Towey, Andrew P. French, Steve Benford:
Connecting Everyday Objects with the Metaverse: A Unified Recognition Framework. COMPSAC 2022: 401-406 - [c15]Golnar K. Mahani, Ruizhe Li, Nikolaos Evangelou, Stamatios Sotiropolous, Paul S. Morgan, Andrew P. French, Xin Chen:
Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss. ISBI 2022: 1-5 - [i4]Zhendi Gong, Andrew P. French, Guoping Qiu, Xin Chen:
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation. CoRR abs/2210.07072 (2022) - 2021
- [j10]Liming Xu, Dave Towey, Andrew P. French, Steve Benford, Zhi Quan Zhou, Tsong Yueh Chen:
Using metamorphic relations to verify and enhance Artcode classification. J. Syst. Softw. 182: 111060 (2021) - [j9]Dimitrios Bellos, Mark Basham, Tony P. Pridmore, Andrew P. French:
A stacked dense denoising-segmentation network for undersampled tomograms and knowledge transfer using synthetic tomograms. Mach. Vis. Appl. 32(3): 75 (2021) - [c14]Feng Chen, Michael P. Pound, Andrew P. French:
Learning to Localise and Count with Incomplete Dot-annotations. ICCVW 2021: 1612-1620 - [i3]Liming Xu, Dave Towey, Andrew P. French, Steve Benford, Zhi Quan Zhou, Tsong Yueh Chen:
Using Metamorphic Relations to Verify and Enhance Artcode Classification. CoRR abs/2108.02694 (2021) - [i2]Bowen Deng, Andrew P. French, Michael P. Pound:
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies. CoRR abs/2111.03195 (2021) - 2020
- [j8]John Atanbori, Andrew P. French, Tony P. Pridmore:
Towards infield, live plant phenotyping using a reduced-parameter CNN. Mach. Vis. Appl. 31(1-2): 2 (2020) - [j7]Jonathon A. Gibbs, Michael P. Pound, Andrew P. French, Darren M. Wells, Erik H. Murchie, Tony P. Pridmore:
Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1907-1917 (2020)
2010 – 2019
- 2018
- [c13]John Atanbori, Feng Chen, Andrew P. French, Tony P. Pridmore:
Towards Low-Cost Image-based Plant Phenotyping using Reduced-Parameter CNN. BMVC 2018: 326 - [c12]Liming Xu, Dave Towey, Andrew P. French, Steve Benford, Zhi Quan Zhou, Tsong Yueh Chen:
Enhancing Supervised Classifications with Metamorphic Relations. MET@ICSE 2018: 46-53 - [c11]Eze Benson, Michael P. Pound, Andrew P. French, Aaron S. Jackson, Tony P. Pridmore:
Deep Hourglass for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2018: 419-428 - 2017
- [c10]Michael P. Pound, Jonathan A. Atkinson, Darren M. Wells, Tony P. Pridmore, Andrew P. French:
Deep Learning for Multi-task Plant Phenotyping. ICCV Workshops 2017: 2055-2063 - [c9]Liming Xu, Andrew P. French, Dave Towey, Steve Benford:
Recognizing the Presence of Hidden Visual Markers in Digital Images. ACM Multimedia (Thematic Workshops) 2017: 210-218 - 2016
- [j6]Hanno Scharr, Massimo Minervini, Andrew P. French, Christian Klukas, David M. Kramer, Xiaoming Liu, Imanol Luengo, Jean-Michel Pape, Gerrit Polder, Danijela Vukadinovic, Xi Yin, Sotirios A. Tsaftaris:
Leaf segmentation in plant phenotyping: a collation study. Mach. Vis. Appl. 27(4): 585-606 (2016) - [j5]Hanno Scharr, Hannah Dee, Andrew P. French, Sotirios A. Tsaftaris:
Special issue on computer vision and image analysis in plant phenotyping. Mach. Vis. Appl. 27(5): 607-609 (2016) - [j4]Michael P. Pound, Andrew P. French, John A. Fozard, Erik H. Murchie, Tony P. Pridmore:
A patch-based approach to 3D plant shoot phenotyping. Mach. Vis. Appl. 27(5): 767-779 (2016) - [c8]Imanol Luengo, Mark Basham, Andrew P. French:
SMURFS: Superpixels from Multi-scale Refinement of Super-regions. BMVC 2016 - [c7]Imanol Luengo, Mark Basham, Andrew P. French:
Selective Labeling: Identifying Representative Sub-volumes for Interactive Segmentation. Patch-MI@MICCAI 2016: 17-24 - [c6]Imanol Luengo, Mark Basham, Andrew P. French:
Fast global interactive volume segmentation with regional supervoxel descriptors. Image Processing 2016: 97842D - [i1]Imanol Luengo, Mark Basham, Andrew P. French:
Hierarchical Piecewise-Constant Super-regions. CoRR abs/1605.05937 (2016) - 2014
- [c5]Michael P. Pound, Andrew P. French, Erik H. Murchie, Tony P. Pridmore:
Surface Reconstruction of Plant Shoots from Multiple Views. ECCV Workshops (4) 2014: 158-173 - [e1]Michel François Valstar, Andrew P. French, Tony P. Pridmore:
British Machine Vision Conference, BMVC 2014, Nottingham, UK, September 1-5, 2014. BMVA Press 2014 [contents] - 2012
- [j3]Vijaya Sethuraman, Andrew P. French, Darren M. Wells, Kim Kenobi, Tony P. Pridmore:
Tissue-level segmentation and tracking of cells in growing plant roots. Mach. Vis. Appl. 23(4): 639-658 (2012) - 2011
- [j2]Asad Naeem, Andrew P. French, Darren M. Wells, Tony P. Pridmore:
High-throughput feature counting and measurement of roots. Bioinform. 27(9): 1337-1338 (2011)
2000 – 2009
- 2008
- [c4]Andrew P. French, Malcolm Bennett, Caroline Howells, Dhaval Patel, Tony P. Pridmore:
A Probabilistic Tracking Approach to Root Measurement in Images - Particle Filter Tracking is used to Measure Roots, via a Probabilistic Graph. BIOSIGNALS (1) 2008: 108-115 - 2007
- [c3]Brendan Walker, Holger Schnädelbach, Stefan Rennick Egglestone, Angus Clark, Tuvi Orbach, Michael Wright, Kher Hui Ng, Andrew P. French, Tom Rodden, Steve Benford:
Augmenting amusement rides with telemetry. Advances in Computer Entertainment Technology 2007: 115-122 - [c2]Andrew P. French, Asad Naeem, Ian L. Dryden, Tony P. Pridmore:
Using social effects to guide tracking in complex scenes. AVSS 2007: 212-217 - 2006
- [j1]Andy Crabtree, Andrew P. French, Chris Greenhalgh, Steve Benford, Keith Cheverst, Dan Fitton, Mark Rouncefield, Connor Graham:
Developing Digital Records: Early Experiences of Record and Replay. Comput. Support. Cooperative Work. 15(4): 281-319 (2006) - 2004
- [c1]Andrew P. French, Steven Mills, Tony P. Pridmore:
Condensation Tracking through a Hough Space. ICPR (4) 2004: 195-198
Coauthor Index
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