Kaiming He
E367295
Kaiming He is a prominent Chinese computer scientist known for pioneering deep learning architectures and techniques, including the influential ResNet model for image recognition.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Kaiming He canonical | 5 |
| Kaiming | 1 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Chinese person
ⓘ
computer scientist ⓘ person ⓘ researcher ⓘ |
| academicAdvisor | Jian Sun ⓘ |
| awardReceived |
Best Paper Award at CVPR 2016
ⓘ
IEEE International Conference on Computer Vision ⓘ
surface form:
Marr Prize (ICCV) honorable mentions
|
| coAuthor |
Georgia Gkioxari
ⓘ
Jian Sun ⓘ Piotr Dollár ⓘ Ross Girshick ⓘ Shaoqing Ren ⓘ Xiangyu Zhang ⓘ |
| educatedAt |
The Chinese University of Hong Kong
ⓘ
surface form:
Chinese University of Hong Kong
Tsinghua University ⓘ |
| employer |
Meta AI
ⓘ
surface form:
Facebook AI Research
Meta Platforms, Inc. ⓘ
surface form:
Meta Platforms
Microsoft Research ⓘ
surface form:
Microsoft Research Asia
|
| familyName | He ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computer vision ⓘ deep learning ⓘ machine learning ⓘ |
| givenName |
Kaiming He
self-linksurface differs
ⓘ
surface form:
Kaiming
|
| knownFor |
FasterRCNN
ⓘ
surface form:
Faster R-CNN
MaskRCNN ⓘ
surface form:
Mask R-CNN
MoCo (Momentum Contrast) framework ⓘ R-CNN ⓘ ResNet ⓘ SimCLR-style contrastive learning variants ⓘ deep residual learning ⓘ deep residual networks for image recognition ⓘ representation learning ⓘ self-supervised learning methods ⓘ spatial pyramid pooling in deep convolutional networks ⓘ |
| name | Kaiming He self-link ⓘ |
| nationality | China ⓘ |
| notableContribution |
FasterRCNN
ⓘ
surface form:
advances in object detection with region-based CNNs
development of instance segmentation methods ⓘ development of large-scale self-supervised visual representation learning methods ⓘ introduction of residual connections in deep neural networks ⓘ |
| notableWork |
ResNet
ⓘ
surface form:
Deep Residual Learning for Image Recognition
FasterRCNN ⓘ
surface form:
Faster R-CNN (paper)
MaskRCNN ⓘ
surface form:
Mask R-CNN (paper)
MoCo (Momentum Contrast) framework ⓘ
surface form:
Momentum Contrast for Unsupervised Visual Representation Learning
spatial pyramid pooling in deep convolutional networks ⓘ
surface form:
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
|
| occupation |
computer scientist
ⓘ
research scientist ⓘ |
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Kaiming