activity
20192025
most citedFull RGB Just Noticeable Difference (JND) Modelling

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

collaborators

6 papers

cs.CV2025

HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition

Pengcheng Dong, Wenbo Wan, Huaxiang Zhang +3

In recent years, action recognition has received much attention and wide application due to its important role in video understanding. Most of the researches on action recognition…

eess.IV2023★ 1 cited

GAN-based Image Compression with Improved RDO Process

Fanxin Xia, Jian Jin, Lili Meng +2

GAN-based image compression schemes have shown remarkable progress lately due to their high perceptual quality at low bit rates. However, there are two main issues, including 1) th…

eess.IV2022★ 4 cited

Full RGB Just Noticeable Difference (JND) Modelling

Jian Jin, Dong Yu, Weisi Lin +3

Just Noticeable Difference (JND) has many applications in multimedia signal processing, especially for visual data processing up to date. It's generally defined as the minimum visu…

eess.IV2022

Auto-Weighted Layer Representation Based View Synthesis Distortion Estimation for 3-D Video Coding

Jian Jin, Xingxing Zhang, Lili Meng +4

Recently, various view synthesis distortion estimation models have been studied to better serve for 3-D video coding. However, they can hardly model the relationship quantitatively…

cs.IR2020★ 1 cited

Task-adaptive Asymmetric Deep Cross-modal Hashing

Fengling Li, Tong Wang, Lei Zhu +2

Supervised cross-modal hashing aims to embed the semantic correlations of heterogeneous modality data into the binary hash codes with discriminative semantic labels. Because of its…

cs.IR2019★ 1 cited

Fusion-supervised Deep Cross-modal Hashing

Li Wang, Lei Zhu, En Yu +2

Deep hashing has recently received attention in cross-modal retrieval for its impressive advantages. However, existing hashing methods for cross-modal retrieval cannot fully captur…