Jongmok Kim

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 152 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #13,724 of 21,575 by trust here, #19,766 by citations
• Artificial Intelligence — 14 citations into it; #22,172 of 35,345 by trust here, #31,361 by citations

Whom Jongmok Kim trusts overall

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

1. Liang-Chieh Chen
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Evan Shelhamer
7. Yann LeCun
8. Diederik P. Kingma
9. Fisher Yu
10. Ross B. Girshick

Who trusts Jongmok Kim overall

1. Wilhelm Tranheden
2. Viktor Olsson
3. Xiaokang Chen
4. Juliano Pinto
5. Yuhui Yuan
6. Lennart Svensson

Papers from Jongmok Kim's perspective

Ordered by how strongly the researchers Jongmok 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Structured Consistency Loss for semi-supervised semantic segmentation (2020) — 79 citations