activity
20142019
most citedLearning Face Representation from Scratch

1.7k citations · 2.3k across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV20193 cited

Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection

Zhiwei Liu, Xiangyu Zhu, Guosheng Hu +5

Recently, deep learning based facial landmark detection has achieved great success. Despite this, we notice that the semantic ambiguity greatly degrades the detection performance.…

cs.CV201928 cited

WIDER Face and Pedestrian Challenge 2018: Methods and Results

Chen Change Loy, Dahua Lin, Wanli Ouyang +49

This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian. The challenge focuses on the problem of precise localization of human faces and bodies, and accurat…

cs.CV20189 cited

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…

cs.CV201669 cited

Embedding Deep Metric for Person Re-identication A Study Against Large Variations

Hailin Shi, Yang Yang, Xiangyu Zhu +4

Person re-identification is challenging due to the large variations of pose, illumination, occlusion and camera view. Owing to these variations, the pedestrian data is distributed…

cs.CV20141.7k cited

Learning Face Representation from Scratch

Dong Yi, Zhen Lei, Shengcai Liao +1

Pushing by big data and deep convolutional neural network (CNN), the performance of face recognition is becoming comparable to human. Using private large scale training datasets, s…

cs.CV2014383 cited

Learn Convolutional Neural Network for Face Anti-Spoofing

Jianwei Yang, Zhen Lei, Stan Z. Li

Though having achieved some progresses, the hand-crafted texture features, e.g., LBP [23], LBP-TOP [11] are still unable to capture the most discriminative cues between genuine and…