Jihye Yun

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Radiology, Nuclear Medicine and Imaging — 31 citations into it

Whom Jihye Yun trusts overall

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

1. Xiao Han
2. Individualized Treat
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alec Radford
6. Alex Krizhevsky
7. Yann LeCun
8. Olaf Ronneberger
9. Ross B. Girshick
10. Viren Jain

Papers from Jihye Yun's perspective

Ordered by how strongly the researchers Jihye Yun 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Federated learning enables big data for rare cancer boundary detection (2022) — 346 citations
• Deep Learning in Medical Imaging (2019) — 327 citations