activity
20172026
most citedAIM 2020: Scene Relighting and Illumination Estimation Challenge

14 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Event-RGB Adaptive Tracking for Nighttime Highway Perception

Haidong Wang, Hengxing Cai, Wanlei Li +2

Intelligent Transportation Systems deployed on highways predominantly rely on conventional RGB cameras for traffic perception and vehicle tracking. However, highway environments pr…

eess.IV2022

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report

Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang +50

Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While num…

eess.IV2021

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

Jinjin Gu, Haoming Cai, Chao Dong +47

This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…

cs.CV2020★ 14 cited

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34

We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…

cs.CV2018★ 7 cited

Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network

Kele Xu, Dawei Feng, Haibo Mi +5

Audio scene classification, the problem of predicting class labels of audio scenes, has drawn lots of attention during the last several years. However, it remains challenging and f…

cs.CV2017★ 4 cited

Full-reference image quality assessment-based B-mode ultrasound image similarity measure

Kele Xu, Xi Liu, Hengxing Cai +1

During the last decades, the number of new full-reference image quality assessment algorithms has been increasing drastically. Yet, despite of the remarkable progress that has been…