Kaiming He

E367295

Chinese person computer scientist person researcher

Kaiming He is a prominent Chinese computer scientist known for pioneering deep learning architectures and techniques, including the influential ResNet model for image recognition.

Try in SPARQL Jump to: Surface forms Disambiguation Statements Elicitation Referenced by

All labels observed (2)

Label	Occurrences
Kaiming He canonical	9
Kaiming	1

How this entity was disambiguated

This entity first appeared as the object of triple T3542950 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Kaiming He
Context triple: [ResNet, developedBy, Kaiming He]

A. Jiawei Han
Jiawei Han is a prominent computer scientist renowned for his pioneering contributions to data mining and knowledge discovery.
B. Christian Szegedy
Christian Szegedy is a computer scientist and AI researcher known for his influential work on deep learning and convolutional neural networks, including contributions to the Inception architecture.
C. Alex Krizhevsky
Alex Krizhevsky is a computer scientist best known for co-developing the AlexNet convolutional neural network, which revolutionized deep learning in computer vision.
D. Ilya Sutskever
Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
E. Karen Simonyan
Karen Simonyan is a computer scientist and deep learning researcher known for influential work in neural network architectures and generative models, including contributions to systems like WaveNet.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Kaiming He
Target entity description: Kaiming He is a prominent Chinese computer scientist known for pioneering deep learning architectures and techniques, including the influential ResNet model for image recognition.

A. Jiawei Han
Jiawei Han is a prominent computer scientist renowned for his pioneering contributions to data mining and knowledge discovery.
B. Christian Szegedy
Christian Szegedy is a computer scientist and AI researcher known for his influential work on deep learning and convolutional neural networks, including contributions to the Inception architecture.
C. Alex Krizhevsky
Alex Krizhevsky is a computer scientist best known for co-developing the AlexNet convolutional neural network, which revolutionized deep learning in computer vision.
D. Ilya Sutskever
Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
E. Karen Simonyan
Karen Simonyan is a computer scientist and deep learning researcher known for influential work in neural network architectures and generative models, including contributions to systems like WaveNet.
F. None of above. chosen

Statements (48)

Predicate	Object
instanceOf	Chinese person ⓘ computer scientist ⓘ person ⓘ researcher ⓘ
academicAdvisor	Jian Sun ⓘ
awardReceived	Best Paper Award at CVPR 2016 ⓘ Marr Prize (ICCV) honorable mentions ⓘ linked to: IEEE International Conference on Computer Vision
coAuthor	Georgia Gkioxari ⓘ Jian Sun ⓘ Piotr Dollár ⓘ Ross Girshick ⓘ Shaoqing Ren ⓘ Xiangyu Zhang ⓘ
educatedAt	Chinese University of Hong Kong ⓘ linked to: The Chinese University of Hong Kong Tsinghua University ⓘ
employer	Facebook AI Research ⓘ linked to: Meta AI Meta Platforms ⓘ linked to: Meta Platforms, Inc. Microsoft Research Asia ⓘ linked to: Microsoft Research
familyName	He ⓘ
fieldOfWork	artificial intelligence ⓘ computer vision ⓘ deep learning ⓘ machine learning ⓘ
givenName	Kaiming ⓘ linked to: Kaiming He
knownFor	Faster R-CNN ⓘ linked to: FasterRCNN Mask R-CNN ⓘ linked to: MaskRCNN 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 ⓘ
nationality	China ⓘ
notableContribution	advances in object detection with region-based CNNs ⓘ linked to: FasterRCNN development of instance segmentation methods ⓘ development of large-scale self-supervised visual representation learning methods ⓘ introduction of residual connections in deep neural networks ⓘ
notableWork	Deep Residual Learning for Image Recognition ⓘ linked to: ResNet Faster R-CNN (paper) ⓘ linked to: FasterRCNN Mask R-CNN (paper) ⓘ linked to: MaskRCNN Momentum Contrast for Unsupervised Visual Representation Learning ⓘ linked to: MoCo (Momentum Contrast) framework Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition ⓘ linked to: spatial pyramid pooling in deep convolutional networks
occupation	computer scientist ⓘ research scientist ⓘ

How these facts were elicited

Referenced by (10)

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

ResNet → developedBy → Kaiming He ⓘ

Kaiming He → name → Kaiming He ⓘ

Kaiming He → givenName → Kaiming ⓘ

linked to: Kaiming He

ResNeXt → paperAuthors → Kaiming He ⓘ

Shaoqing Ren → hasCoauthor → Kaiming He ⓘ

Jian Sun → coAuthorWith → Kaiming He ⓘ

Faster R-CNN → proposedBy → Kaiming He ⓘ

subject linked to: FasterRCNN

Mask R-CNN → introducedBy → Kaiming He ⓘ

subject linked to: MaskRCNN

RetinaNet → hasAuthor → Kaiming He ⓘ

Group Normalization → introducedBy → Kaiming He ⓘ

All labels observed (2)

How this entity was disambiguated Show

Statements (48)

How these facts were elicited Show

Referenced by (10)

How this entity was disambiguated

How these facts were elicited