44 citations · 164 across the 35 of their papers we have counts for
5 papers · 1 filter
FPGA Based Accelerator for Neural Networks Computation with Flexible Pipelining
Qingyang Yi, Heming Sun, Masahiro Fujita
FPGA is appropriate for fix-point neural networks computing due to high power efficiency and configurability. However, its design must be intensively refined to achieve high perfor…
End-to-End Learned Image Compression with Quantized Weights and Activations
Heming Sun, Lu Yu, Jiro Katto
End-to-end Learned image compression (LIC) has reached the traditional hand-crafted methods such as BPG (HEVC intra) in terms of the coding gain. However, the large network size pr…
Learned Image Compression with Separate Hyperprior Decoders
Zhao Zan, Chao Liu, Heming Sun +2
Learned image compression techniques have achieved considerable development in recent years. In this paper, we find that the performance bottleneck lies in the use of a single hype…
Learned Video Compression with Residual Prediction and Loop Filter
Chao Liu, Heming Sun, Jiro Katto +2
In this paper, we propose a learned video codec with a residual prediction network (RP-Net) and a feature-aided loop filter (LF-Net). For the RP-Net, we exploit the residual of pre…
Fully Neural Network Mode Based Intra Prediction of Variable Block Size
Heming Sun, Lu Yu, Jiro Katto
Intra prediction is an essential component in the image coding. This paper gives an intra prediction framework completely based on neural network modes (NM). Each NM can be regarde…