Gwanghyun Kim

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 538 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 80 citations into it; #16,974 of 21,575 by trust here, #12,172 by citations
• Generative Models — 70 citations into it; #1,015 of 1,956 by trust here, #1,549 by citations
• Artificial Intelligence — 20 citations into it
• Statistical and Nonlinear Physics — 12 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Signal Processing — 9 citations into it
• Biophysics — 7 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Gwanghyun Kim trusts overall

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

1. Tero Karras
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Prafulla Dhariwal
8. Yann LeCun
9. Ilya Sutskever
10. Ross B. Girshick

Who trusts Gwanghyun Kim overall

1. Omri Avrahami
2. Chenshuang Zhang
3. Inbar Huberman-Spiegelglas
4. Can Wang
5. Weili Nie
6. Jing Shi
7. Alexander C. Li
8. Xihui Liu
9. Bahjat Kawar
10. Dani Lischinski

Papers from Gwanghyun Kim's perspective

Ordered by how strongly the researchers Gwanghyun Kim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation (2021) — 900 citations
• DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models (2021) — 106 citations