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20212026
most citedTencent Video Dataset (TVD): A Video Dataset for Learning-based Visual Data Compression and Analysis

10 citations · 15 across the 9 of their papers we have counts for

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6 papers · 1 filter

eess.IV2026

Multi-scale Image Representation Compression

Tianhao Peng, Ho Man Kwan, Fan Zhang +2

Overfitted codecs have demonstrated promising performance for image and video compression. In particular, for image compression, the Cool-chic family of models has shown competitiv…

eess.IV2026

Scalable Neural Video Representation Compression

Tianhao Peng, Ho Man Kwan, Fan Zhang +2

Scalable video coding (SVC) encodes a video into a layered bitstream consisting of a base layer and one or multiple enhancement layers, enabling decoding at different bitrate/quali…

eess.IV2026

A Mamba-based Perceptual Loss Function for Learning-based UGC Transcoding

Zihao Qi, Chen Feng, Fan Zhang +3

In user-generated content (UGC) transcoding, source videos typically suffer various degradations due to prior compression, editing, or suboptimal capture conditions. Consequently,…

eess.IV2023★ 4 cited

Full-reference Video Quality Assessment for User Generated Content Transcoding

Zihao Qi, Chen Feng, Duolikun Danier +4

Unlike video coding for professional content, the delivery pipeline of User Generated Content (UGC) involves transcoding where unpristine reference content needs to be compressed r…

eess.IV2023

Corner-to-Center Long-range Context Model for Efficient Learned Image Compression

Yang Sui, Ding Ding, Xiang Pan +4

In the framework of learned image compression, the context model plays a pivotal role in capturing the dependencies among latent representations. To reduce the decoding time result…

eess.IV2021★ 10 cited

Tencent Video Dataset (TVD): A Video Dataset for Learning-based Visual Data Compression and Analysis

Xiaozhong Xu, Shan Liu, Zeqiang Li

Learning-based visual data compression and analysis have attracted great interest from both academia and industry recently. More training as well as testing datasets, especially go…