37 citations · 38 across the 12 of their papers we have counts for
4 papers · 1 filter
Scaling Learned Image Compression Models up to 1 Billion
Yuqi Li, Haotian Zhang, Li Li +2
Recent advances in large language models (LLMs) highlight a strong connection between intelligence and compression. Learned image compression, a fundamental task in modern data com…
Cross-architecture universal feature coding via distribution alignment
Changsheng Gao, Shan Liu, Feng Wu +1
Feature coding has become increasingly important in scenarios where semantic representations rather than raw pixels are transmitted and stored. However, most existing methods are a…
NVC-1B: A Large Neural Video Coding Model
Xihua Sheng, Chuanbo Tang, Li Li +2
The emerging large models have achieved notable progress in the fields of natural language processing and computer vision. However, large models for neural video coding are still u…
DMOFC: Discrimination Metric-Optimized Feature Compression
Changsheng Gao, Yiheng Jiang, Li Li +2
Feature compression, as an important branch of video coding for machines (VCM), has attracted significant attention and exploration. However, the existing methods mainly focus on i…