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02/02/2023
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization
The degradation in the underwater images is due to wavelength-dependent ...
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06/29/2021
TUCaN: Progressively Teaching Colourisation to Capsules
Automatic image colourisation is the computer vision research path that ...
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03/26/2021
Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation
Deep regression trackers are among the fastest tracking algorithms avail...
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01/19/2021
Collaboration among Image and Object Level Features for Image Colourisation
Image colourisation is an ill-posed problem, with multiple correct solut...
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12/04/2020
Is It a Plausible Colour? UCapsNet for Image Colourisation
Human beings can imagine the colours of a grayscale image with no partic...
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08/03/2020
An Exploration of Target-Conditioned Segmentation Methods for Visual Object Trackers
Visual object tracking is the problem of predicting a target object's st...
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07/08/2020
A Distilled Model for Tracking and Tracker Fusion
Visual object tracking was generally tackled by reasoning independently ...
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04/13/2020
An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
Modern Unmanned Aerial Vehicles equipped with state of the art artificia...
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09/18/2019
Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
In the last decade many different algorithms have been proposed to track...
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07/28/2017
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Person re-identification is best known as the problem of associating a s...
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04/05/2017
The UMCD Dataset
In recent years, the technological improvements of low-cost small-scale ...
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12/20/2016
Wide-Slice Residual Networks for Food Recognition
Food diary applications represent a tantalizing market. Such application...
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07/25/2016