10 citations · 25 across the 7 of their papers we have counts for
7 papers
High Efficiency Image Compression for Large Visual-Language Models
Binzhe Li, Shurun Wang, Shiqi Wang +1
In recent years, large visual language models (LVLMs) have shown impressive performance and promising generalization capability in multi-modal tasks, thus replacing humans as recei…
Interactive Face Video Coding: A Generative Compression Framework
Bolin Chen, Zhao Wang, Binzhe Li +3
In this paper, we propose a novel framework for Interactive Face Video Coding (IFVC), which allows humans to interact with the intrinsic visual representations instead of the signa…
Just Noticeable Difference Modeling for Face Recognition System
Yu Tian, Zhangkai Ni, Baoliang Chen +4
High-quality face images are required to guarantee the stability and reliability of automatic face recognition (FR) systems in surveillance and security scenarios. However, a massi…
End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization
Shurun Wang, Zhao Wang, Shiqi Wang +1
The visual signal compression is a long-standing problem. Fueled by the recent advances of deep learning, exciting progress has been made. Despite better compression performance, e…
Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
Shurun Wang, Shiqi Wang, Wenhan Yang +4
It plays a fundamental role to compactly represent the visual information towards the optimization of the ultimate utility in myriad visual data centered applications. With numerou…
End-to-End Facial Deep Learning Feature Compression with Teacher-Student Enhancement
Shurun Wang, Wenhan Yang, Shiqi Wang
In this paper, we propose a novel end-to-end feature compression scheme by leveraging the representation and learning capability of deep neural networks, towards intelligent front-…
Scalable Facial Image Compression with Deep Feature Reconstruction
Shurun Wang, Shiqi Wang, Xinfeng Zhang +3
In this paper, we propose a scalable image compression scheme, including the base layer for feature representation and enhancement layer for texture representation. More specifical…