355 citations · 2.7k across the 325 of their papers we have counts for
51 papers · 1 filter
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
Dario Fuoli, Zhiwu Huang, Danda Pani Paudel +2
Video enhancement is a challenging problem, more than that of stills, mainly due to high computational cost, larger data volumes and the difficulty of achieving consistency in the…
Zero-Pair Image to Image Translation using Domain Conditional Normalization
Samarth Shukla, Andrés Romero, Luc Van Gool +1
In this paper, we propose an approach based on domain conditional normalization (DCN) for zero-pair image-to-image translation, i.e., translating between two domains which have no…
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
Andrey Ignatov, Radu Timofte, Zhilu Zhang +36
This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…
AIM 2020 Challenge on Rendering Realistic Bokeh
Andrey Ignatov, Radu Timofte, Ming Qian +32
This paper reviews the second AIM realistic bokeh effect rendering challenge and provides the description of the proposed solutions and results. The participating teams were solvin…
A Weakly Supervised Convolutional Network for Change Segmentation and Classification
Philipp Andermatt, Radu Timofte
Fully supervised change detection methods require difficult to procure pixel-level labels, while weakly supervised approaches can be trained with image-level labels. However, most…
Learning to Improve Image Compression without Changing the Standard Decoder
Yannick Strümpler, Ren Yang, Radu Timofte
In recent years we have witnessed an increasing interest in applying Deep Neural Networks (DNNs) to improve the rate-distortion performance in image compression. However, the exist…