To accelerate time consuming process for DNA alignment we propose a pre-mapping filtering method, called the Same Token Count (STC), that leverages the high parallelism of …
In this work, we propose a Vision Transformer (ViT) hardware accelerator that can achieve high utilization and high efficiency. Unlike the convolutional neural network (CNN) …
The key to the video super-resolution algorithm is to capture the information of adjacent frames to supplement the reconstruction of the current frame. It is necessary to apply the …
In this paper, we propose an edge-guided video super-resolution (EGVSR) network that utilizes the edge information of the image to effectively recover high-frequency details for …
This paper presents a model compression frame-work for both pruning and quantizing according to the channel distribution information. We apply the variational inference technique …
We propose a multiple error correction coding scheme with systematic polar code to enhance the data reliability and to prolong the endurance for flash memory. A line-based 2-bit …
Quantization techniques have been studied to reduce the computing and memory requirement of deep neural networks. The full precision floating-point numbers are quantized into …
Rate control plays an important role in video coding and streaming applications with bandwidth constraints. While most researches are proposed to improve the coding efficiency' the …
Convolutional Neural Networks have been widely studied for the super-resolution (SR) and other image restoration tasks. In this paper, we propose an additional error-compensational …
In this paper, we introduce an indoor location estimation method based on the Bluetooth low energy (BLE) beacon. Beacons are advertised at low transmission power level to limit the …