Kaiming He

Computer Vision and Pattern Recognition · with Deng · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 176 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Generative Models — 38 citations into it
• Artificial Intelligence — 31 citations into it
• Statistical and Nonlinear Physics — 17 citations into it
• Model Architectures — 12 citations into it
• Biophysics — 11 citations into it
• Optimization & Training — 8 citations into it
• Signal Processing — 8 citations into it

Whom Kaiming He trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jonathan Ho
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Kaiming He
5. Alex Krizhevsky
6. Yoshua Bengio
7. Aäron van den Oord
8. Alec Radford
9. Yann LeCun
10. Ilya Sutskever

Papers from Kaiming He's perspective

Ordered by how strongly the researchers Kaiming He trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Autoregressive Image Generation without Vector Quantization (2024) — 691 citations
• Mean Flows for One-step Generative Modeling (2025) — 474 citations