activity
20182022
most citedImage and Video Compression with Neural Networks: A Review

462 citations · 553 across the 6 of their papers we have counts for

collaborators

14 papers

cs.CV20221 cited

STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond

Zheng Chang, Xinfeng Zhang, Shanshe Wang +2

Video prediction aims to predict future frames by modeling the complex spatiotemporal dynamics in videos. However, most of the existing methods only model the temporal information…

cs.CV20222 cited

STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction

Zheng Chang, Xinfeng Zhang, Shanshe Wang +2

Although many video prediction methods have obtained good performance in low-resolution (64128) videos, predictive models for high-resolution (5124K) videos have not be…

cs.CV202162 cited

Improving Robustness and Accuracy via Relative Information Encoding in 3D Human Pose Estimation

Wenkang Shan, Haopeng Lu, Shanshe Wang +2

Most of the existing 3D human pose estimation approaches mainly focus on predicting 3D positional relationships between the root joint and other human joints (local motion) instead…

eess.IV20211 cited

Visual Analysis Motivated Rate-Distortion Model for Image Coding

Zhimeng Huang, Chuanmin Jia, Shanshe Wang +1

Optimized for pixel fidelity metrics, images compressed by existing image codec are facing systematic challenges when used for visual analysis tasks, especially under low-bitrate c…

cs.MM2020

Sub-sampled Cross-component Prediction for Emerging Video Coding Standards

Junru Li, Meng Wang, Li Zhang +5

Cross-component linear model (CCLM) prediction has been repeatedly proven to be effective in reducing the inter-channel redundancies in video compression. Essentially speaking, the…

cs.CV2020

Implicit Subspace Prior Learning for Dual-Blind Face Restoration

Lingbo Yang, Pan Wang, Zhanning Gao +4

Face restoration is an inherently ill-posed problem, where additional prior constraints are typically considered crucial for mitigating such pathology. However, real-world image pr…