Tunai Porto Marques

According to our database1, Tunai Porto Marques authored at least 12 papers between 2018 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
TempNet: Temporal Attention Towards the Detection of Animal Behaviour in Videos.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Instance Segmentation of Herring and Salmon Schools in Acoustic Echograms using a Hybrid U-Net.
Proceedings of the 19th Conference on Robots and Vision, 2022

2021
Size-invariant Detection of Marine Vessels From Visual Time Series.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Instance Segmentation-Based Identification of Pelagic Species in Acoustic Backscatter Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification.
Proceedings of the 18th Conference on Robots and Vision, 2021

2020
Movement Tracks for the Automatic Detection of Fish Behavior in Videos.
CoRR, 2020

L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion.
CoRR, 2020

Detecting Marine Species in Echograms via Traditional, Hybrid, and Deep Learning Frameworks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

L<sup>2</sup>UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images.
J. Imaging, 2019

A Deep Learning-based Framework for the Detection of Schools of Herring in Echograms.
CoRR, 2019

2018
Enhancement of Low-Lighting Underwater Images Using Dark Channel Prior and Fast Guided Filters.
Proceedings of the Pattern Recognition and Information Forensics, 2018


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