3 code implementations • 19 Sep 2023 • Xiaowei Yu, Zhe Huang, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu
Herein, we use the information entropy to define the complexity of the task.
Ranked #266 on Image Classification on ImageNet
no code implementations • 27 Jan 2020 • Yao Xue, Siming Liu, Yonghui Li, Xueming Qian
In addition, proper receptive field sizes are crucial for crowd analysis due to human size variations.
no code implementations • 7 Oct 2018 • Yao Xue, Gilbert Bigras, Judith Hugh, Nilanjan Ray
Thanks to the SC/CS recovery algorithm (L1 optimization) that can recover sparse cell locations from the output of CNN.
3 code implementations • 10 Aug 2017 • Yao Xue, Nilanjan Ray
In this paper, we seek a different route and propose a convolutional neural network (CNN)-based cell detection method that uses encoding of the output pixel space.