no code implementations • CVPR 2013 • Dong Chen, Xudong Cao, Fang Wen, Jian Sun
Making a high-dimensional (e. g., 100K-dim) feature for face recognition seems not a good idea because it will bring difficulties on consequent training, computation, and storage.
Ranked #9 on Age-Invariant Face Recognition on CACDVS
no code implementations • CVPR 2014 • Shaoqing Ren, Xudong Cao, Yichen Wei, Jian Sun
The locality principle guides us to learn a set of highly discriminative local binary features for each facial landmark independently.
no code implementations • CVPR 2015 • Shaoqing Ren, Xudong Cao, Yichen Wei, Jian Sun
The global pruning is developed to reduce the model size as well as the over-fitting risk.
no code implementations • CVPR 2016 • Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao
Training with a large proportion of irrelevant volumes will hurt performance.
no code implementations • ICCV 2015 • Yan Xia, Xudong Cao, Fang Wen, Gang Hua, Jian Sun
We study the problem of automatically removing outliers from noisy data, with application for removing outlier images from an image collection.
no code implementations • Int J Comput Vis 2013 • Xudong Cao, Yichen Wei, Fang Wen, Jian Sun
We present a very efficient, highly accurate, “Explicit Shape Regression” approach for face alignment.
Ranked #36 on Face Alignment on WFLW
no code implementations • 31 Jul 2023 • Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang Wang, Shenqi Jing
To easily obtain the knowledge about autism spectrum disorder and help its early screening and diagnosis, we create AsdKB, a Chinese knowledge base on autism spectrum disorder.