activity
20152017
most citedTransductive Multi-view Zero-Shot Learning

551 citations · 679 across the 8 of their papers we have counts for

collaborators

11 papers

cs.CV201741 cited

Recent Advances in Zero-shot Recognition

Yanwei Fu, Tao Xiang, Yu-Gang Jiang +3

With the recent renaissance of deep convolution neural networks, encouraging breakthroughs have been achieved on the supervised recognition tasks, where each class has sufficient t…

cs.CV201737 cited

Multi-scale Deep Learning Architectures for Person Re-identification

Xuelin Qian, Yanwei Fu, Yu-Gang Jiang +2

Person Re-identification (re-id) aims to match people across non-overlapping camera views in a public space. It is a challenging problem because many people captured in surveillanc…

cs.CV201711 cited

A Jointly Learned Deep Architecture for Facial Attribute Analysis and Face Detection in the Wild

Keke He, Yanwei Fu, Xiangyang Xue

Facial attribute analysis in the real world scenario is very challenging mainly because of complex face variations. Existing works of analyzing face attributes are mostly based on…

cs.CV2017

Vocabulary-informed Extreme Value Learning

Yanwei Fu, HanZe Dong, Yu-feng Ma +2

The novel unseen classes can be formulated as the extreme values of known classes. This inspired the recent works on open-set recognition \cite{Scheirer_2013_TPAMI,Scheirer_2014_TP…

cs.CV20172 cited

Learning to Generate Posters of Scientific Papers by Probabilistic Graphical Models

Yu-ting Qiang, Yanwei Fu, Xiao Yu +3

Researchers often summarize their work in the form of scientific posters. Posters provide a coherent and efficient way to convey core ideas expressed in scientific papers. Generati…

cs.CV2016

Semi-supervised Vocabulary-informed Learning

Yanwei Fu, Leonid Sigal

Despite significant progress in object categorization, in recent years, a number of important challenges remain, mainly, ability to learn from limited labeled data and ability to r…