9 citations · 14 across the 12 of their papers we have counts for
5 papers · 1 filter
Low-Rank Adaptation of Pre-trained Vision Backbones for Energy-Efficient Image Coding for Machine
Yichi Zhang, Zhihao Duan, Yuning Huang +1
Image Coding for Machines (ICM) focuses on optimizing image compression for AI-driven analysis rather than human perception. Existing ICM frameworks often rely on separate codecs f…
Accelerating Learned Image Compression Through Modeling Neural Training Dynamics
Yichi Zhang, Zhihao Duan, Yuning Huang +1
As learned image compression (LIC) methods become increasingly computationally demanding, enhancing their training efficiency is crucial. This paper takes a step forward in acceler…
Balanced Rate-Distortion Optimization in Learned Image Compression
Yichi Zhang, Zhihao Duan, Yuning Huang +1
Learned image compression (LIC) using deep learning architectures has seen significant advancements, yet standard rate-distortion (R-D) optimization often encounters imbalanced upd…
Flexible Variable-Rate Image Feature Compression for Edge-Cloud Systems
Md Adnan Faisal Hossain, Zhihao Duan, Yuning Huang +1
Feature compression is a promising direction for coding for machines. Existing methods have made substantial progress, but they require designing and training separate neural netwo…
Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs
Yichi Zhang, Zhihao Duan, Yuning Huang +1
Recent studies reveal a significant theoretical link between variational autoencoders (VAEs) and rate-distortion theory, notably in utilizing VAEs to estimate the theoretical upper…