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Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

ICES journal of marine science, 2020-07, Vol.77 (4), p.1295-1307

2020

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Automatic segmentation of fish using deep learning with application to fish size measurement

ICES journal of marine science, 2020-07, Vol.77 (4), p.1354-1366

2020

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Image-based, unsupervised estimation of fish size from commercial landings using deep learning

ICES journal of marine science, 2020-07, Vol.77 (4), p.1330-1339

2020

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How emerging data technologies can increase trust and transparency in fisheries

ICES journal of marine science, 2020-07, Vol.77 (4), p.1286-1294

2020

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Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks

ICES journal of marine science, 2020-07, Vol.77 (4), p.1367-1378

2020

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Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards

ICES journal of marine science, 2020-07, Vol.77 (4), p.1340-1353

2020

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Improving the classification accuracy of fishes and invertebrates using residual convolutional neural networks

ICES journal of marine science, 2023-06, Vol.80 (5), p.1256-1266

2023

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Identifying the species of harvested tuna and billfish using deep convolutional neural networks

ICES journal of marine science, 2020-07, Vol.77 (4), p.1318-1329

2020

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Developing a microscopic image dataset in support of intelligent phytoplankton detection using deep learning

ICES journal of marine science, 2020-07, Vol.77 (4), p.1427-1439

2020

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An in-situ image enhancement method for the detection of marine organisms by remotely operated vehicles

ICES journal of marine science, 2024-02

2024

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Recent advances of machine vision technology in fish classification

ICES journal of marine science, 2022-03, Vol.79 (2), p.263-284

2022

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Evaluating automated benthic fish detection under variable conditions

ICES journal of marine science, 2022-10, Vol.79 (8), p.2204-2216

2022

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Contrastive learning-based image retrieval for automatic recognition of in situ marine plankton images

ICES journal of marine science, 2022-12

2022

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Automatic detection of Western rock lobster using synthetic data

ICES journal of marine science, 2020-07, Vol.77 (4), p.1308-1317

2020

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Graph Laplacian-Improved Convolutional Residual Autoencoder for Unsupervised Human Action and Emotion Recognition

IEEE access, 2022, Vol.10, p.131128-131143

2022

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Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish

ICES journal of marine science, 2020-12, Vol.77 (7-8), p.2804-2813

2020

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Semi-supervised target classification in multi-frequency echosounder data

ICES journal of marine science, 2021-10, Vol.78 (7), p.2615-2627

2021

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The Prince William Sound Plankton Camera: a profiling in situ observatory of plankton and particulates

ICES journal of marine science, 2020-07, Vol.77 (4), p.1440-1455

2020

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SKELTER: unsupervised skeleton action denoising and recognition using transformers

Frontiers in computer science (Lausanne), 2023-08, Vol.5

2023

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Deep learning methods applied to electronic monitoring data: automated catch event detection for longline fishing

ICES journal of marine science, 2021-01, Vol.78 (1), p.25-35

2021

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Learning-based low-illumination image enhancer for underwater live crab detection

ICES journal of marine science, 2021-07, Vol.78 (3), p.979-993

2021

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Classifying imbalanced data sets using similarity based hierarchical decomposition

Pattern recognition, 2015-05, Vol.48 (5), p.1653-1672

2015

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Automatic discard registration in cluttered environments using deep learning and object tracking: class imbalance, occlusion, and a comparison to human review

ICES journal of marine science, 2021-12, Vol.78 (10), p.3834-3846

2021

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Accurate estimation of fish length in single camera photogrammetry with a fiducial marker

ICES journal of marine science, 2020-11, Vol.77 (6), p.2245-2254

2020

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Unleashing the Transferability Power of Unsupervised Pre-Training for Emotion Recognition in Masked and Unmasked Facial Images

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Automatic fish detection in underwater videos by a deep neural network-based hybrid motion learning system

Automatic segmentation of fish using deep learning with application to fish size measurement

Image-based, unsupervised estimation of fish size from commercial landings using deep learning

How emerging data technologies can increase trust and transparency in fisheries

Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks

Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards

Improving the classification accuracy of fishes and invertebrates using residual convolutional neural networks

Identifying the species of harvested tuna and billfish using deep convolutional neural networks

Developing a microscopic image dataset in support of intelligent phytoplankton detection using deep learning

An in-situ image enhancement method for the detection of marine organisms by remotely operated vehicles

Recent advances of machine vision technology in fish classification

Evaluating automated benthic fish detection under variable conditions

Contrastive learning-based image retrieval for automatic recognition of in situ marine plankton images

Automatic detection of Western rock lobster using synthetic data

Graph Laplacian-Improved Convolutional Residual Autoencoder for Unsupervised Human Action and Emotion Recognition

Advancements towards selective barrier passage by automatic species identification: applications of deep convolutional neural networks on images of dewatered fish

Semi-supervised target classification in multi-frequency echosounder data

The Prince William Sound Plankton Camera: a profiling in situ observatory of plankton and particulates

SKELTER: unsupervised skeleton action denoising and recognition using transformers

Deep learning methods applied to electronic monitoring data: automated catch event detection for longline fishing

Learning-based low-illumination image enhancer for underwater live crab detection

Classifying imbalanced data sets using similarity based hierarchical decomposition

Automatic discard registration in cluttered environments using deep learning and object tracking: class imbalance, occlusion, and a comparison to human review

Accurate estimation of fish length in single camera photogrammetry with a fiducial marker

Unleashing the Transferability Power of Unsupervised Pre-Training for Emotion Recognition in Masked and Unmasked Facial Images

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