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 …

This paper reviews the first challenge on efficient perceptual image enhancement with the
focus on deploying deep learning models on smartphones. The challenge consisted of two …

Motion blur is a common photography artifact in dynamic environments that typically comes
jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on …

We propose a view-based approach to recognize humans from their gait. Two different image
features have been considered: the width of the outer contour of the binarized silhouette of …

This paper tackles the problem of motion deblurring of dynamic scenes. Although end-to-end
fully convolutional designs have recently advanced the state-of-the-art in non-uniform …

Human gait is an attractive modality for recognizing people at a distance. In this paper we
adopt an appearance-based approach to the problem of gait recognition. The width of the …

Gait is a spatio-temporal phenomenon that typifies the motion characteristics of an individual.
In this paper, we propose a view-based approach to recognize humans through gait. The …

In this paper, we propose a signature verification system based on Dynamic Time Warping (DTW).
The method works by extracting the vertical projection feature from signature images …

Computer vision is becoming increasingly important in several industrial applications such
as automated inspection, robotic manipulations and autonomous vehicle guidance. These …

We present a general learning-based solution for restoring images suffering from spatially-varying
degradations. Prior approaches are typically degradation-specific and employ the …