Michael P. Pound

Orcid: 0000-0002-5016-1078

According to our database1, Michael P. Pound authored at least 15 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Addressing multiple salient object detection via dual-space long-range dependencies.
Comput. Vis. Image Underst., October, 2023

2022
A fusion spatial attention approach for few-shot learning.
Inf. Fusion, 2022

2021
Predicting Plant Growth from Time-Series Data Using Deep Learning.
Remote. Sens., 2021

Convolutional feature extraction for process monitoring using ultrasonic sensors.
Comput. Chem. Eng., 2021

Learning to Localise and Count with Incomplete Dot-annotations.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Three Dimensional Root CT Segmentation Using Multi-Resolution Encoder-Decoder Networks.
IEEE Trans. Image Process., 2020

Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Audio-Visual Predictive Coding for Self-Supervised Visual Representation Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Efficient MRI Brain Tumor Segmentation Using Multi-resolution Encoder-Decoder Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018
Deep Hourglass for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

2017
Deep Learning for Multi-task Plant Phenotyping.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
A patch-based approach to 3D plant shoot phenotyping.
Mach. Vis. Appl., 2016

2014
Surface Reconstruction of Plant Shoots from Multiple Views.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2010
Tracking and identifying groups of moving targets using probabilistic parsing.
PhD thesis, 2010

2008
Pressing the Flesh: Sensing Multiple Touch and Finger Pressure on Arbitrary Surfaces.
Proceedings of the Pervasive Computing, 2008


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