Jaeyeon Kang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #16,747 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 8 citations into it
• Model Architectures — 6 citations into it
• Generative Models — 5 citations into it

Whom Jaeyeon Kang trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Sergey Ioffe
6. Yoshua Bengio
7. X. Zhang
8. Christian Szegedy
9. Yann LeCun
10. Shaoqing Ren

Who trusts Jaeyeon Kang overall

1. Kelvin C. K. Chan
2. Xintao Wang

Papers from Jaeyeon Kang's perspective

Ordered by how strongly the researchers Jaeyeon Kang 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. ImageNet Large Scale Visual Recognition Challenge
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation (2018) — 600 citations