1.6k citations · 2.2k across the 10 of their papers we have counts for
10 papers
GridFace: Face Rectification via Learning Local Homography Transformations
Erjin Zhou, Zhimin Cao, Jian Sun
In this paper, we propose a method, called GridFace, to reduce facial geometric variations and improve the recognition performance. Our method rectifies the face by local homograph…
What Can Help Pedestrian Detection?
Jiayuan Mao, Tete Xiao, Yuning Jiang +1
Aggregating extra features has been considered as an effective approach to boost traditional pedestrian detection methods. However, there is still a lack of studies on whether and…
FastMask: Segment Multi-scale Object Candidates in One Shot
Hexiang Hu, Shiyi Lan, Yuning Jiang +2
Objects appear to scale differently in natural images. This fact requires methods dealing with object-centric tasks (e.g. object proposal) to have robust performance over variances…
UnitBox: An Advanced Object Detection Network
Jiahui Yu, Yuning Jiang, Zhangyang Wang +2
In present object detection systems, the deep convolutional neural networks (CNNs) are utilized to predict bounding boxes of object candidates, and have gained performance advantag…
Scene Text Detection via Holistic, Multi-Channel Prediction
Cong Yao, Xiang Bai, Nong Sang +3
Recently, scene text detection has become an active research topic in computer vision and document analysis, because of its great importance and significant challenge. However, vas…
Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression
Zhiao Huang, Erjin Zhou, Zhimin Cao
Facial landmark localization plays an important role in face recognition and analysis applications. In this paper, we give a brief introduction to a coarse-to-fine pipeline with ne…
Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
Cong Yao, Jianan Wu, Xinyu Zhou +4
Different from focused texts present in natural images, which are captured with user's intention and intervention, incidental texts usually exhibit much more diversity, variability…
ICDAR 2015 Text Reading in the Wild Competition
Xinyu Zhou, Shuchang Zhou, Cong Yao +2
Recently, text detection and recognition in natural scenes are becoming increasing popular in the computer vision community as well as the document analysis community. However, maj…
Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?
Erjin Zhou, Zhimin Cao, Qi Yin
Face recognition performance improves rapidly with the recent deep learning technique developing and underlying large training dataset accumulating. In this paper, we report our ob…
Learning Deep Face Representation
Haoqiang Fan, Zhimin Cao, Yuning Jiang +2
Face representation is a crucial step of face recognition systems. An optimal face representation should be discriminative, robust, compact, and very easy-to-implement. While numer…