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Books and Theses
- 2010
[b1]Michael P. Pound:
Tracking and identifying groups of moving targets using probabilistic parsing. University of Nottingham, UK, 2010
Journal Articles
- 2023
- [j7]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) - 2022
- [j6]Heda Song, Bowen Deng, Michael P. Pound, Ender Özcan, Isaac Triguero:
A fusion spatial attention approach for few-shot learning. Inf. Fusion 81: 187-202 (2022) - 2021
- [j5]Alexander L. Bowler, Michael P. Pound, Nicholas James Watson:
Convolutional feature extraction for process monitoring using ultrasonic sensors. Comput. Chem. Eng. 155: 107508 (2021) - [j4]Robail Yasrab, Jincheng Zhang, Polina Smyth, Michael P. Pound:
Predicting Plant Growth from Time-Series Data Using Deep Learning. Remote. Sens. 13(3): 331 (2021) - 2020
- [j3]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) - [j2]Mohammadreza Soltaninejad, Craig J. Sturrock, Marcus Griffiths, Tony P. Pridmore, Michael P. Pound:
Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks. IEEE Trans. Image Process. 29: 6667-6679 (2020) - 2016
- [j1]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)
Conference and Workshop Papers
- 2024
- [c9]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 - [c8]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 - 2021
- [c7]Feng Chen, Michael P. Pound, Andrew P. French:
Learning to Localise and Count with Incomplete Dot-annotations. ICCVW 2021: 1612-1620 - 2020
- [c6]Mohammadreza Soltaninejad, Tony P. Pridmore, Michael P. Pound:
Efficient MRI Brain Tumor Segmentation Using Multi-resolution Encoder-Decoder Networks. BrainLes@MICCAI (2) 2020: 30-39 - [c5]Mani Kumar Tellamekala, Michel F. Valstar, Michael P. Pound, Timo Giesbrecht:
Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning. ICPR 2020: 9912-9919 - 2018
- [c4]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
- [c3]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 - 2014
- [c2]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 - 2008
- [c1]Joe Marshall, Tony P. Pridmore, Mike Pound, Steve Benford, Boriana Koleva:
Pressing the Flesh: Sensing Multiple Touch and Finger Pressure on Arbitrary Surfaces. Pervasive 2008: 38-55
Informal and Other Publications
- 2024
- [i3]Yong En Kok, Alexander Bentley, Andrew Parkes, Amanda J. Wright, Michael G. Somekh, Michael P. Pound:
Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning. CoRR abs/2404.15231 (2024) - [i2]Bowen Deng, Yihan Zhang, Andrew Parkes, Alexander Bentley, Amanda Wright, Michael P. Pound, Michael G. Somekh:
Application of RESNET50 Convolution Neural Network for the Extraction of Optical Parameters in Scattering Media. CoRR abs/2404.16647 (2024) - 2021
- [i1]Bowen Deng, Andrew P. French, Michael P. Pound:
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies. CoRR abs/2111.03195 (2021)
Coauthor Index
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