3 papers
eess.IV2026
Hadamard-Domain Model Quantization for Learned Image Coding
Junqi Shi, Chongzhi Wang, Yiwen He +2
Uniform INT8 quantization is attractive for deploying learned image coding (LIC), but its rate--distortion (R--D) performance is often limited by heavy-tailed tensors and large int…
eess.IV2025
On Quantizing Neural Representation for Variable-Rate Video Coding
Junqi Shi, Zhujia Chen, Hanfei Li +4
This work introduces NeuroQuant, a novel post-training quantization (PTQ) approach tailored to non-generalized Implicit Neural Representations for variable-rate Video Coding (INR-V…
eess.IV2024
HINER: Neural Representation for Hyperspectral Image
Junqi Shi, Mingyi Jiang, Ming Lu +3
This paper introduces {HINER}, a novel neural representation for compressing HSI and ensuring high-quality downstream tasks on compressed HSI. HINER fully exploits inter-spectral c…