168 citations · 477 across the 22 of their papers we have counts for
3 papers · 1 filter
Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA
Junsong Wang, Qiuwen Lou, Xiaofan Zhang +3
Neural network accelerators with low latency and low energy consumption are desirable for edge computing. To create such accelerators, we propose a design flow for accelerating the…
Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs
Chuanhao Zhuge, Xinheng Liu, Xiaofan Zhang +3
Deep Convolutional Neural Networks have become a Swiss knife in solving critical artificial intelligence tasks. However, deploying deep CNN models for latency-critical tasks remain…
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li, Xiaofan Zhang, Deming Chen
We propose a network for Congested Scene Recognition called CSRNet to provide a data-driven and deep learning method that can understand highly congested scenes and perform accurat…