1 code implementation • 25 Jul 2022 • Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images.
no code implementations • 1 Oct 2021 • Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie zhou, Lili Mou, Sen Song
The key idea is to integrate powerful neural networks into metaheuristics (e. g., simulated annealing, SA) to restrict the search space in discrete optimization.
no code implementations • 13 May 2021 • Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
Hashing has been widely used in approximate nearest neighbor search for its storage and computational efficiency.
1 code implementation • ICCV 2021 • Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
On the other hand, a novel graph-based contrastive learning strategy is proposed to learn more compact clustering assignments.
1 code implementation • 7 Aug 2020 • Huasong Zhong, Chong Chen, Zhongming Jin, Xian-Sheng Hua
Different from existing methods, DRC looks into deep clustering from two perspectives of both semantic clustering assignment and representation feature, which can increase inter-class diversities and decrease intra-class diversities simultaneously.
1 code implementation • NIPS Workshop CDNNRIA 2018 • Jiaxiang Wu, Yao Zhang, Haoli Bai, Huasong Zhong, Jinlong Hou, Wei Liu, Wenbing Huang, Junzhou Huang
Deep neural networks are widely used in various domains, but the prohibitive computational complexity prevents their deployment on mobile devices.
no code implementations • 22 Sep 2018 • Huasong Zhong, Xianggen Liu, Yihui He, Yuchun Ma
These three primitives (channel shift, address shift, shortcut shift) can reduce the inference time on GPU while maintains the prediction accuracy.