John Seon Keun Yi

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 186 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 60 citations into it
• Artificial Intelligence — 57 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Large Language Models — 6 citations into it

Whom John Seon Keun Yi trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ross B. Girshick
6. Diederik P. Kingma
7. Alec Radford
8. Ilya Sutskever
9. Yann LeCun
10. Karen Simonyan

Papers from John Seon Keun Yi's perspective

Ordered by how strongly the researchers John Seon Keun Yi 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond (2022) — 102 citations