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02/09/2022
End-to-End Blind Quality Assessment for Laparoscopic Videos using Neural Networks
Video quality assessment is a challenging problem having a critical sign...
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06/12/2021
Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
Laparoscopic images and videos are often affected by different types of ...
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10/26/2020
Enhancing road signs segmentation using photometric invariants
Road signs detection and recognition in natural scenes is one of the mos...
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07/25/2019
A Novel Approach for Robust Multi Human Action Detection and Recognition based on 3-Dimentional Convolutional Neural Networks
In recent years, various attempts have been proposed to explore the use ...
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07/13/2019
Adaptive Context Encoding Module for Semantic Segmentation
The object sizes in images are diverse, therefore, capturing multiple sc...
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12/27/2018