112 citations · 362 across the 23 of their papers we have counts for
10 papers · 1 filter
Recurrent Calibration Network for Irregular Text Recognition
Yunze Gao, Yingying Chen, Jinqiao Wang +3
Scene text recognition has received increased attention in the research community. Text in the wild often possesses irregular arrangements, typically including perspective text, cu…
Representation based and Attention augmented Meta learning
Yunxiao Qin, Chenxu Zhao, Zezheng Wang +3
Deep learning based computer vision fails to work when labeled images are scarce. Recently, Meta learning algorithm has been confirmed as a promising way to improve the ability of…
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
Jianqing Zhu, Huanqiang Zeng, Jingchang Huang +4
In order to resist the adverse effect of viewpoint variations for improving vehicle re-identification performance, we design quadruple directional deep learning networks to extract…
Exploiting temporal and depth information for multi-frame face anti-spoofing
Zezheng Wang, Chenxu Zhao, Yunxiao Qin +4
Face anti-spoofing is significant to the security of face recognition systems. Previous works on depth supervised learning have proved the effectiveness for face anti-spoofing. Nev…
Selective Refinement Network for High Performance Face Detection
Cheng Chi, Shifeng Zhang, Junliang Xing +3
High performance face detection remains a very challenging problem, especially when there exists many tiny faces. This paper presents a novel single-shot face detector, named Selec…
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Shifeng Zhang, Longyin Wen, Xiao Bian +2
Pedestrian detection in crowded scenes is a challenging problem since the pedestrians often gather together and occlude each other. In this paper, we propose a new occlusion-aware…