112 citations · 211 across the 6 of their papers we have counts for
8 papers
Single-Shot Refinement Neural Network for Object Detection
Shifeng Zhang, Longyin Wen, Xiao Bian +2
For object detection, the two-stage approach (e.g., Faster R-CNN) has been achieving the highest accuracy, whereas the one-stage approach (e.g., SSD) has the advantage of high effi…
SFD: Single Shot Scale-invariant Face Detector
Shifeng Zhang, Xiangyu Zhu, Zhen Lei +3
This paper presents a real-time face detector, named Single Shot Scale-invariant Face Detector (SFD), which performs superiorly on various scales of faces with a single deep ne…
Learning Efficient Image Representation for Person Re-Identification
Yang Yang, Shengcai Liao, Zhen Lei +1
Color names based image representation is successfully used in person re-identification, due to the advantages of being compact, intuitively understandable as well as being robust…
Learning Discriminative Features with Class Encoder
Hailin Shi, Xiangyu Zhu, Zhen Lei +2
Deep neural networks usually benefit from unsupervised pre-training, e.g. auto-encoders. However, the classifier further needs supervised fine-tuning methods for good discriminatio…
CRAFT Objects from Images
Bin Yang, Junjie Yan, Zhen Lei +1
Object detection is a fundamental problem in image understanding. One popular solution is the R-CNN framework and its fast versions. They decompose the object detection problem int…
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu, Yongxin Yang, Dong Yi +4
Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work we…