Michael P. Pound

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 15

Top Venues

CoRR

BrainLes@MICCAI (2)

IEEE ACM Trans. Comput. Biol. Bioinform.

IEEE Trans. Image Process.

University of Nottingham, UK (PHD)

Education History

University of Nottingham, UK

PHD

Publications

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 (2024)
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 (2024)
Bowen Deng, Andrew P. French, Michael P. Pound
Addressing multiple salient object detection via dual-space long-range dependencies. Comput. Vis. Image Underst. 235 (2023)
Heda Song, Bowen Deng, Michael P. Pound, Ender Özcan, Isaac Triguero
A fusion spatial attention approach for few-shot learning. Inf. Fusion 81 (2022)
Robail Yasrab, Jincheng Zhang, Polina Smyth, Michael P. Pound
Predicting Plant Growth from Time-Series Data Using Deep Learning. Remote. Sens. 13 (3) (2021)
Feng Chen, Michael P. Pound, Andrew P. French
Learning to Localise and Count with Incomplete Dot-annotations. ICCVW (2021)
Bowen Deng, Andrew P. French, Michael P. Pound
Addressing Multiple Salient Object Detection via Dual-Space Long-Range Dependencies. CoRR (2021)
Alexander L. Bowler, Michael P. Pound, Nicholas James Watson
Convolutional feature extraction for process monitoring using ultrasonic sensors. Comput. Chem. Eng. 155 (2021)
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 (2020)
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) (2020)
Mani Kumar Tellamekala, Michel F. Valstar, Michael P. Pound, Timo Giesbrecht
Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning. ICPR (2020)
Mohammadreza Soltaninejad, Tony P. Pridmore, Michael P. Pound
Efficient MRI Brain Tumor Segmentation Using Multi-resolution Encoder-Decoder Networks. BrainLes@MICCAI (2) (2020)
Eze Benson, Michael P. Pound, Andrew P. French, Aaron S. Jackson, Tony P. Pridmore
Deep Hourglass for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2018)
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)
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) (2016)
Michael P. Pound, Andrew P. French, Erik H. Murchie, Tony P. Pridmore
Surface Reconstruction of Plant Shoots from Multiple Views. ECCV Workshops (4) (2014)

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Publication Activity (10 Years)

Top Topics

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Michael P. Pound