54 citations · 305 across the 36 of their papers we have counts for
11 papers · 1 filter
Is It a Plausible Colour? UCapsNet for Image Colourisation
Rita Pucci, Christian Micheloni, Gian Luca Foresti +1
Human beings can imagine the colours of a grayscale image with no particular effort thanks to their ability of semantic feature extraction. Can an autonomous system achieve that? C…
Is First Person Vision Challenging for Object Tracking?
Matteo Dunnhofer, Antonino Furnari, Giovanni Maria Farinella +1
Understanding human-object interactions is fundamental in First Person Vision (FPV). Tracking algorithms which follow the objects manipulated by the camera wearer can provide usefu…
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni
Deep convolutional neural networks (CNNs) have recently achieved great success for single image super-resolution (SISR) task due to their powerful feature representation capabiliti…
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
Rao Muhammad Umer, Christian Micheloni
Recent deep learning based single image super-resolution (SISR) methods mostly train their models in a clean data domain where the low-resolution (LR) and the high-resolution (HR)…