most citedIntelligent Robotic Control System Based on Computer Vision Technology

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression

Lei Lu, Yanyue Xie, Wei Jiang +3

This paper investigates the challenging problem of learned image compression (LIC) with extreme low bitrates. Previous LIC methods based on transmitting quantized continuous featur…

eess.IV2024

Image and Video Compression using Generative Sparse Representation with Fidelity Controls

Wei Jiang, Wei Wang

We propose a framework for learned image and video compression using the generative sparse visual representation (SVR) guided by fidelity-preserving controls. By embedding inputs i…

cs.RO20243 cited

Intelligent Robotic Control System Based on Computer Vision Technology

Chang Che, Haotian Zheng, Zengyi Huang +2

The article explores the intersection of computer vision technology and robotic control, highlighting its importance in various fields such as industrial automation, healthcare, an…

eess.IV20243 cited

LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression

Wei Jiang, Junru Li, Kai Zhang +1

Existing learned video compression models employ flow net or deformable convolutional networks (DCN) to estimate motion information. However, the limited receptive fields of flow n…

cs.CV2023

HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform

Peirong Ning, Wei Jiang, Ronggang Wang

In recent years, there has been rapid development in learned image compression techniques that prioritize ratedistortion-perceptual compression, preserving fine details even at low…