7 citations · 7 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
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…