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20212023
most citedJust Noticeable Difference for Deep Machine Vision

39 citations · 57 across the 5 of their papers we have counts for

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5 papers

eess.IV2023★ 15 cited

IBVC: Interpolation-driven B-frame Video Compression

Chenming Xu, Meiqin Liu, Chao Yao +2

Learned B-frame video compression aims to adopt bi-directional motion estimation and motion compensation (MEMC) coding for middle frame reconstruction. However, previous learned ap…

cs.CV2022★ 2 cited

HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation

Jian Jin, Yuan Xue, Xingxing Zhang +3

Significant improvement has been made on just noticeable difference (JND) modelling due to the development of deep neural networks, especially for the recently developed unsupervis…

cs.CV2022★ 1 cited

SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding

Mengxue Qu, Yu Wu, Wu Liu +5

In this paper, we investigate how to achieve better visual grounding with modern vision-language transformers, and propose a simple yet powerful Selective Retraining (SiRi) mechani…

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.CV2021★ 39 cited

Just Noticeable Difference for Deep Machine Vision

Jian Jin, Xingxing Zhang, Xin Fu +4

As an important perceptual characteristic of the Human Visual System (HVS), the Just Noticeable Difference (JND) has been studied for decades with image and video processing (e.g.,…