activity
20242026
most citedAIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AR2026

HLC: A High-Quality Lightweight Mezzanine Codec Featuring High-Throughput Palette

Chenlong He, Leilei Huang, Wei Li +4

Existing mezzanine image codecs lack specialized screen content coding tools and therefore struggle to maintain high image quality under bandwidth constraints, especially in areas…

eess.IV2025

JND-Guided Light-Weight Neural Pre-Filter for Perceptual Image Coding

Chenlong He, Zhijian Hao, Leilei Huang +2

Just Noticeable Distortion (JND)-guided pre-filter is a promising technique for improving the perceptual compression efficiency of image coding. However, existing methods are often…

cs.CV2025★ 1 cited

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos

Qi Zheng, Li-Heng Chen, Chenlong He +6

Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos…

eess.IV2024★ 7 cited

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results

Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova +29

Video quality assessment (VQA) is a crucial task in the development of video compression standards, as it directly impacts the viewer experience. This paper presents the results of…

cs.CV2024

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results

Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman +33

This paper reviews the AIS 2024 Video Quality Assessment (VQA) Challenge, focused on User-Generated Content (UGC). The aim of this challenge is to gather deep learning-based method…