34 citations · 57 across the 6 of their papers we have counts for
9 papers
End-to-end Learned Image Compression with Fixed Point Weight Quantization
Heming Sun, Zhengxue Cheng, Masaru Takeuchi +1
Learned image compression (LIC) has reached the traditional hand-crafted methods such as JPEG2000 and BPG in terms of the coding gain. However, the large model size of the network…
Enhanced Intra Prediction for Video Coding by Using Multiple Neural Networks
Heming Sun, Zhengxue Cheng, Masaru Takeuchi +1
This paper enhances the intra prediction by using multiple neural network modes (NM). Each NM serves as an end-to-end mapping from the neighboring reference blocks to the current c…
Learned Lossless Image Compression with a HyperPrior and Discretized Gaussian Mixture Likelihoods
Zhengxue Cheng, Heming Sun, Masaru Takeuchi +1
Lossless image compression is an important task in the field of multimedia communication. Traditional image codecs typically support lossless mode, such as WebP, JPEG2000, FLIF. Re…
Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules
Zhengxue Cheng, Heming Sun, Masaru Takeuchi +1
Image compression is a fundamental research field and many well-known compression standards have been developed for many decades. Recently, learned compression methods exhibit a fa…
Dual Learning-based Video Coding with Inception Dense Blocks
Chao Liu, Heming Sun, Junan Chen +5
In this paper, a dual learning-based method in intra coding is introduced for PCS Grand Challenge. This method is mainly composed of two parts: intra prediction and reconstruction…
Learning Image and Video Compression through Spatial-Temporal Energy Compaction
Zhengxue Cheng, Heming Sun, Masaru Takeuchi +1
Compression has been an important research topic for many decades, to produce a significant impact on data transmission and storage. Recent advances have shown a great potential of…