Yonghyun Jeong

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #10,229 of 21,575 by trust here, #7,657 by citations
• Generative Models — 44 citations into it; #951 of 1,956 by trust here, #865 by citations
• Artificial Intelligence — 10 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Yonghyun Jeong trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Tero Karras
5. Alex Krizhevsky
6. Pascal Vincent
7. Yoshua Bengio
8. Karen Simonyan
9. Yann LeCun
10. Ilya Sutskever

Who trusts Yonghyun Jeong overall

1. Hyungjin Chung
2. Jong Chul Ye
3. Zongsheng Yue
4. Gwanghyun Kim
5. Jianyi Wang

Papers from Yonghyun Jeong's perspective

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

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

Their papers

• ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (2021) — 969 citations