Jaehyung Kim

Computer Vision and Pattern Recognition · with Lee · 2022

A researcher in the Science corpus: 1 paper; trusts 233 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 26 citations into it
• Model Architectures — 13 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Jaehyung Kim trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Jia Deng
9. Xinlei Chen
10. Ilya Sutskever

Papers from Jaehyung Kim's perspective

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

Their papers

• Patch-level Representation Learning for Self-supervised Vision Transformers (2022) — 89 citations