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04/06/2023
Visualizing Skiers' Trajectories in Monocular Videos
Trajectories are fundamental to winning in alpine skiing. Tools enabling...
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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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10/19/2022
Real Image Super-Resolution using GAN through modeling of LR and HR process
The current existing deep image super-resolution methods usually assume ...
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09/27/2022
Visual Object Tracking in First Person Vision
The understanding of human-object interactions is fundamental in First P...
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05/09/2022
CoCoLoT: Combining Complementary Trackers in Long-Term Visual Tracking
How to combine the complementary capabilities of an ensemble of differen...
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12/17/2021
Video-Based Reconstruction of the Trajectories Performed by Skiers
Trajectories are fundamental in different skiing disciplines. Tools enab...
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10/25/2021
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network
Modern digital cameras and smartphones mostly rely on image signal proce...
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09/16/2021
Resolution based Feature Distillation for Cross Resolution Person Re-Identification
Person re-identification (re-id) aims to retrieve images of same identit...
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08/31/2021
Is First Person Vision Challenging for Object Tracking?
Understanding human-object interactions is fundamental in First Person V...
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07/07/2021
A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
Recently, most of state-of-the-art single image super-resolution (SISR) ...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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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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11/24/2020
Is First Person Vision Challenging for Object Tracking? The TREK-100 Benchmark Dataset
Understanding human-object interactions is fundamental in First Person V...
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09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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09/15/2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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09/07/2020
Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
Deep convolutional neural networks (CNNs) have recently achieved great s...
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09/07/2020
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
Recent deep learning based single image super-resolution (SISR) methods ...
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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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05/03/2020
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
Most current deep learning based single image super-resolution (SISR) me...
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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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09/09/2019
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
Single Image Super-Resolution (SISR) aims to generate a high-resolution ...
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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