92 citations · 223 across the 25 of their papers we have counts for
5 papers · 1 filter
Efficient Visual Computing with Camera RAW Snapshots
Zhihao Li, Ming Lu, Xu Zhang +3
Conventional cameras capture image irradiance on a sensor and convert it to RGB images using an image signal processor (ISP). The images can then be used for photography or visual…
Rate-Distortion Optimized Post-Training Quantization for Learned Image Compression
Junqi Shi, Ming Lu, Zhan Ma
Quantizing a floating-point neural network to its fixed-point representation is crucial for Learned Image Compression (LIC) because it improves decoding consistency for interoperab…
Lossy Image Compression with Quantized Hierarchical VAEs
Zhihao Duan, Ming Lu, Zhan Ma +1
Recent research has shown a strong theoretical connection between variational autoencoders (VAEs) and the rate-distortion theory. Motivated by this, we consider the problem of loss…
High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
Ming Lu, Fangdong Chen, Shiliang Pu +1
Questing for learned lossy image coding (LIC) with superior compression performance and computation throughput is challenging. The vital factor behind it is how to intelligently ex…
Opening the Black Box of Learned Image Coders
Zhihao Duan, Ming Lu, Zhan Ma +1
End-to-end learned lossy image coders (LICs), as opposed to hand-crafted image codecs, have shown increasing superiority in terms of the rate-distortion performance. However, they…