Michael P. Pound

According to our database, Michael P. Pound authored at least 17 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Application of RESNET50 Convolution Neural Network for the Extraction of Optical Parameters in Scattering Media.

Bowen Deng, Yihan Zhang, Andrew Parkes, Alexander Bentley, Amanda Wright, Michael P. Pound, Michael G. Somekh

CoRR, 2024

Direct Zernike Coefficient Prediction from Point Spread Functions and Extended Images using Deep Learning.

Yong En Kok, Alexander Bentley, Andrew Parkes, Amanda J. Wright, Michael G. Somekh, Michael P. Pound

CoRR, 2024

2023

Addressing multiple salient object detection via dual-space long-range dependencies.

Bowen Deng, Andrew P. French, Michael P. Pound

Comput. Vis. Image Underst., October, 2023

2022

A fusion spatial attention approach for few-shot learning.

Heda Song, Bowen Deng, Michael P. Pound, Ender Özcan, Isaac Triguero

Inf. Fusion, 2022

2021

Predicting Plant Growth from Time-Series Data Using Deep Learning.

Robail Yasrab, Jincheng Zhang, Polina Smyth, Michael P. Pound

Remote. Sens., 2021

Convolutional feature extraction for process monitoring using ultrasonic sensors.

Alexander L. Bowler, Michael P. Pound, Nicholas James Watson

Comput. Chem. Eng., 2021

Learning to Localise and Count with Incomplete Dot-annotations.

Feng Chen, Michael P. Pound, Andrew P. French

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks.

Mohammadreza Soltaninejad, Craig J. Sturrock, Marcus Griffiths, Tony P. Pridmore, Michael P. Pound

IEEE Trans. Image Process., 2020

Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling.

Jonathon A. Gibbs, Michael P. Pound, Andrew P. French, Darren M. Wells, Erik H. Murchie, Tony P. Pridmore

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning.

Mani Kumar Tellamekala, Michel F. Valstar, Michael P. Pound, Timo Giesbrecht

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Efficient MRI Brain Tumor Segmentation Using Multi-resolution Encoder-Decoder Networks.

Mohammadreza Soltaninejad, Tony P. Pridmore, Michael P. Pound

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018

Deep Hourglass for Brain Tumor Segmentation.

Eze Benson, Michael P. Pound, Andrew P. French, Aaron S. Jackson, Tony P. Pridmore

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017

Deep Learning for Multi-task Plant Phenotyping.

Michael P. Pound, Jonathan A. Atkinson, Darren M. Wells, Tony P. Pridmore, Andrew P. French

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

A patch-based approach to 3D plant shoot phenotyping.

Michael P. Pound, Andrew P. French, John A. Fozard, Erik H. Murchie, Tony P. Pridmore

Mach. Vis. Appl., 2016

2014

Surface Reconstruction of Plant Shoots from Multiple Views.

Michael P. Pound, Andrew P. French, Erik H. Murchie, Tony P. Pridmore

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2010

Tracking and identifying groups of moving targets using probabilistic parsing.

Michael P. Pound

PhD thesis, 2010

2008

Pressing the Flesh: Sensing Multiple Touch and Finger Pressure on Arbitrary Surfaces.

Joe Marshall, Tony P. Pridmore, Mike Pound, Steve Benford, Boriana Koleva

Proceedings of the Pervasive Computing, 2008