no code implementations • 17 Aug 2020 • Yi-Peng Zhang, Haofu Liao, Jin Xiao, Nisreen Al Jallad, Oriana Ly-Mapes, Jiebo Luo
The identification of ECC in an early stage usually requires expertise in the field, and hence is often ignored by parents.
no code implementations • 1 Aug 2020 • Jing Shi, Zhiheng Li, Haitian Zheng, Yihang Xu, Tianyou Xiao, Weitao Tan, Xiaoning Guo, Sizhe Li, Bin Yang, Zhexin Xu, Ruitao Lin, Zhongkai Shangguan, Yue Zhao, Jingwen Wang, Rohan Sharma, Surya Iyer, Ajinkya Deshmukh, Raunak Mahalik, Srishti Singh, Jayant G Rohra, Yi-Peng Zhang, Tongyu Yang, Xuan Wen, Ethan Fahnestock, Bryce Ikeda, Ian Lawson, Alan Finkelstein, Kehao Guo, Richard Magnotti, Andrew Sexton, Jeet Ketan Thaker, Yiyang Su, Chenliang Xu
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020) at University of Rochester
no code implementations • 1 Jul 2020 • Yi-Peng Zhang, Hanjia Lyu, Yubao Liu, Xiyang Zhang, Yu Wang, Jiebo Luo
The COVID-19 pandemic has severely affected people's daily lives and caused tremendous economic loss worldwide.
1 code implementation • 16 Jan 2019 • Fu-Dong Wang, Gui-Song Xia, Nan Xue, Yi-Peng Zhang, Marcello Pelillo
In this paper, we present a functional representation for graph matching (FRGM) that aims to provide more geometric insights on the problem and reduce the space and time complexities of corresponding algorithms.
no code implementations • 29 Jul 2018 • Zi-Ming Wang, Gui-Song Xia, Yi-Peng Zhang
More precisely, we first reveal that the statistics used in existing deep models can be unified using a stationary Gaussian scheme.
no code implementations • ECCV 2018 • Fu-Dong Wang, Nan Xue, Yi-Peng Zhang, Xiang Bai, Gui-Song Xia
Due to an efficient Frank-Wolfe method-based optimization strategy, we can handle graphs with hundreds and thousands of nodes within an acceptable amount of time.
no code implementations • 1 Mar 2018 • An Chen, Yi-Peng Zhang, Zhigang Ren, Yongsheng Liang, Bei Pang
On the one hand, by reducing the sensitivity of the indicator in DG to the roundoff error and the magnitude of contribution weight of subcomponent, we proposed a new indicator for two variables which is much more sensitive to their interaction.
no code implementations • 27 Feb 2018 • Zhigang Ren, Bei Pang, Yongsheng Liang, An Chen, Yi-Peng Zhang
It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy.
1 code implementation • 15 Feb 2018 • Tianyun Zhang, Shaokai Ye, Yi-Peng Zhang, Yanzhi Wang, Makan Fardad
We present a systematic weight pruning framework of deep neural networks (DNNs) using the alternating direction method of multipliers (ADMM).
no code implementations • 3 Feb 2018 • Xiaolong Ma, Yi-Peng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang
However, in these works, the memory design optimization is neglected for weight storage, which will inevitably result in large hardware cost.
no code implementations • 29 Aug 2017 • Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yi-Peng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan
As the size of DNNs continues to grow, it is critical to improve the energy efficiency and performance while maintaining accuracy.