1 citations · 3 across the 19 of their papers we have counts for
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eess.IV2021★ 1 cited
Online Meta Adaptation for Variable-Rate Learned Image Compression
Wei Jiang, Wei Wang, Songnan Li +1
This work addresses two major issues of end-to-end learned image compression (LIC) based on deep neural networks: variable-rate learning where separate networks are required to gen…
cs.LG2021★ 1 cited
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression
Sheng Lin, Wei Jiang, Wei Wang +4
Compressing Deep Neural Network (DNN) models to alleviate the storage and computation requirements is essential for practical applications, especially for resource limited devices.…
cs.CV2021★ 1 cited
Substitutional Neural Image Compression
Xiao Wang, Wei Jiang, Wei Wang +3
We describe Substitutional Neural Image Compression (SNIC), a general approach for enhancing any neural image compression model, that requires no data or additional tuning of the t…