Shaoqing Ren

E370248

Shaoqing Ren is a Chinese computer vision researcher best known as a co-developer of deep learning architectures such as ResNet and Faster R-CNN that have significantly advanced image recognition and object detection.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
Shaoqing Ren canonical 4

Statements (45)

Predicate Object
instanceOf Chinese scientist
computer vision researcher
person
algorithmTypeWorkedOn convolutional neural networks
region-based convolutional neural networks
ResNet
surface form: residual networks
associatedWith deep residual learning
region-based CNN object detectors
citationImpact highly cited in computer vision literature
coAuthorOf ResNet
surface form: Deep Residual Learning for Image Recognition

FasterRCNN
surface form: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
coDeveloperOf FasterRCNN
surface form: Faster R-CNN architecture

ResNet
surface form: ResNet architecture
contributedTo FasterRCNN
surface form: Region Proposal Networks

state-of-the-art performance in image recognition competitions
field computer vision
deep learning
machine learning
hasCoauthor Jian Sun
Kaiming He
Ross Girshick
Xiangyu Zhang
Yuxin Peng
other computer vision researchers
impact enabled more accurate and faster detection models
significantly advanced image recognition
significantly advanced object detection
influencedField computer vision benchmarks
large-scale image recognition
object detection systems
knownFor FasterRCNN
surface form: Faster R-CNN

ResNet
deep convolutional neural networks for object detection
image recognition research
name Shaoqing Ren self-link
nationality Chinese
notableWork ResNet
surface form: Deep Residual Learning for Image Recognition

FasterRCNN
surface form: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
researchArea convolutional neural networks
image classification
object detection
region-based object detection
usedIn COCO object detection benchmarks
ImageNet image classification
practical computer vision applications

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.

ResNet developedBy Shaoqing Ren
Kaiming He coAuthor Shaoqing Ren
Shaoqing Ren name Shaoqing Ren self-link
Jian Sun coAuthorWith Shaoqing Ren