Jaeseok Jeong

Computer Vision and Pattern Recognition · with Kwon · 2022

A researcher in the Science corpus: 1 paper; trusts 77 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #17,165 of 21,575 by trust here, #19,310 by citations
• Generative Models — 26 citations into it
• Artificial Intelligence — 9 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Signal Processing — 6 citations into it; #6,065 of 7,572 by trust here, #6,355 by citations

Whom Jaeseok Jeong trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Prafulla Dhariwal
4. Tero Karras
5. Alex Nichol
6. Alex Krizhevsky
7. Yoshua Bengio
8. Kaiming He
9. Yang Song
10. David E. Rumelhart

Who trusts Jaeseok Jeong overall

1. Duygu Ceylan
2. Chenshuang Zhang

Papers from Jaeseok Jeong's perspective

Ordered by how strongly the researchers Jaeseok Jeong 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Diffusion Models already have a Semantic Latent Space (2022) — 387 citations