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.
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.