52 citations · 52 across the 3 of their papers we have counts for
3 papers
cs.NE2021
RingCNN: Exploiting Algebraically-Sparse Ring Tensors for Energy-Efficient CNN-Based Computational Imaging
Chao-Tsung Huang
In the era of artificial intelligence, convolutional neural networks (CNNs) are emerging as a powerful technique for computational imaging. They have shown superior quality for rec…
cs.DC2019★ 52 cited
eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference
Chao-Tsung Huang, Yu-Chun Ding, Huan-Ching Wang +4
Convolutional neural networks (CNNs) have recently demonstrated superior quality for computational imaging applications. Therefore, they have great potential to revolutionize the i…
cs.LG2019
ERNet Family: Hardware-Oriented CNN Models for Computational Imaging Using Block-Based Inference
Chao-Tsung Huang
Convolutional neural networks (CNNs) demand huge DRAM bandwidth for computational imaging tasks, and block-based processing has recently been applied to greatly reduce the bandwidt…