Hyunwoo Kim

Computer Vision and Pattern Recognition · with Kim · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it

Whom Hyunwoo Kim trusts overall

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

1. Kaiming He
2. Individualized Treat
3. Gil Levi
4. Andrew Zisserman
5. Eran Eidinger
6. Mohsan S. Alvi
7. Tal Hassner
8. X. Zhang
9. Geoffrey E. Hinton

Who trusts Hyunwoo Kim overall

1. Axel Sauer
2. Kimin Lee
3. Yash Goyal

Papers from Hyunwoo Kim's perspective

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

Their papers

• Learning Not to Learn: Training Deep Neural Networks With Biased Data (2018) — 468 citations