6 citations · 8 across the 4 of their papers we have counts for
5 papers
Model Compression using Progressive Channel Pruning
Jinyang Guo, Weichen Zhang, Wanli Ouyang +1
In this work, we propose a simple but effective channel pruning framework called Progressive Channel Pruning (PCP) to accelerate Convolutional Neural Networks (CNNs). In contrast t…
Unsupervised Learning of Accurate Siamese Tracking
Qiuhong Shen, Lei Qiao, Jinyang Guo +7
Unsupervised learning has been popular in various computer vision tasks, including visual object tracking. However, prior unsupervised tracking approaches rely heavily on spatial s…
On The Design of a Light-weight FPGA Programming Framework for Graph Applications
Jing Wang, Jinyang Guo, Chao Li
FPGA accelerators designed for graph processing are gaining popularity. Domain Specific Language (DSL) frameworks for graph processing can reduce the programming complexity and dev…
CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network
Jinyang Guo, Dong Xu, Guo Lu
In this paper, we propose a new deep image compression framework called Complexity and Bitrate Adaptive Network (CBANet), which aims to learn one single network to support variable…
Channel Pruning Guided by Classification Loss and Feature Importance
Jinyang Guo, Wanli Ouyang, Dong Xu
In this work, we propose a new layer-by-layer channel pruning method called Channel Pruning guided by classification Loss and feature Importance (CPLI). In contrast to the existing…