462 citations · 629 across the 30 of their papers we have counts for
7 papers · 1 filter
Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement
Jiaqi Zhang, Jiaye Fu, Chuanmin Jia +5
Intra prediction is a crucial component in traditional video coding frameworks, aiming to eliminate spatial redundancy within frames. In recent years, an increasing number of decod…
Emerging Advances in Learned Video Compression: Models, Systems and Beyond
Chuanmin Jia, Feng Ye, Siwei Ma +3
Video compression is a fundamental topic in the visual intelligence, bridging visual signal sensing/capturing and high-level visual analytics. The broad success of artificial intel…
ShiftLIC: Lightweight Learned Image Compression with Spatial-Channel Shift Operations
Youneng Bao, Wen Tan, Chuanmin Jia +3
Learned Image Compression (LIC) has attracted considerable attention due to their outstanding rate-distortion (R-D) performance and flexibility. However, the substantial computatio…
Machine Perception-Driven Image Compression: A Layered Generative Approach
Yuefeng Zhang, Chuanmin Jia, Jiannhui Chang +1
In this age of information, images are a critical medium for storing and transmitting information. With the rapid growth of image data amount, visual compression and visual data pe…
Cross Modal Compression: Towards Human-comprehensible Semantic Compression
Jiguo Li, Chuanmin Jia, Xinfeng Zhang +2
Traditional image/video compression aims to reduce the transmission/storage cost with signal fidelity as high as possible. However, with the increasing demand for machine analysis…
Rate Distortion Characteristic Modeling for Neural Image Compression
Chuanmin Jia, Ziqing Ge, Shanshe Wang +2
End-to-end optimized neural image compression (NIC) has obtained superior lossy compression performance recently. In this paper, we consider the problem of rate-distortion (R-D) ch…
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…