63 citations · 63 across the 4 of their papers we have counts for
6 papers
A Rate-Distortion Optimized Skip Mode Coding Framework for Neural Video Compression in AVS
Yuntian Jiang, Shuai Li, Yanbo Gao +3
With the development of deep learning, neural video compression (NVC) is gaining increasing interest and is currently under standardization in the AVS (Audio Video Coding Standard)…
IGDA-ICMH: an Importance Guided Feature and Network Dual Adaptation Framework towards Image Compression for Machine and Human Vision
Yanbo Gao, Xinyu Zhao, Shuai Li +3
With the surge of machine vision applications, image compression for both machine and human vision (ICMH) has become an important research area. Existing studies mainly focus on ta…
A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
Zhenyu Du, Yanbo Gao, Shuai Li +3
With the great success of diffusion models in image generation, diffusion-based image compression is attracting increasing interests. However, due to the random noise introduced in…
CWRNN-INVR: A Coupled WarpRNN based Implicit Neural Video Representation
Yiyang Li, Yanbo Gao, Shuai Li +5
Implicit Neural Video Representation (INVR) has emerged as a novel approach for video representation and compression, using learnable grids and neural networks. Existing methods fo…
Approximately Invertible Neural Network for Learned Image Compression
Yanbo Gao, Meng Fu, Shuai Li +4
Learned image compression have attracted considerable interests in recent years. It typically comprises an analysis transform, a synthesis transform, quantization and an entropy co…
Triple-domain Feature Learning with Frequency-aware Memory Enhancement for Moving Infrared Small Target Detection
Weiwei Duan, Luping Ji, Shengjia Chen +2
As a sub-field of object detection, moving infrared small target detection presents significant challenges due to tiny target sizes and low contrast against backgrounds. Currently-…