S. Kim

Computer Vision and Pattern Recognition · with Cho · 2021

A researcher in the Science corpus: 1 paper; trusts 168 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #16,811 of 21,575 by trust here, #19,310 by citations
• Generative Models — 23 citations into it; #1,590 of 1,956 by trust here, #1,843 by citations

Whom S. Kim trusts overall

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

1. Tero Karras
2. Diederik P. Kingma
3. Karen Simonyan
4. Yujun Shen
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Kaiming He
8. Andrew Zisserman
9. Rameen Abdal
10. Jimmy Ba

Who trusts S. Kim overall

1. Yuval Alaluf
2. Weihao Xia
3. Tan M. Dinh
4. Tengfei Wang
5. Qingyan Bai

Papers from S. Kim's perspective

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

Their papers

• GAN Inversion for Out-of-Range Images with Geometric Transformations (2021) — 75 citations