Hanjoo Kim

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Hanjoo Kim trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Sébastien Marcel
4. Eric R. Ziegel
5. Geoffrey E. Hinton
6. X. Zhang
7. Zhun Zhong
8. Olga Russakovsky
9. Yann LeCun
10. Shaoqing Ren

Who trusts Hanjoo Kim overall

1. Ryuichi Yamamoto
2. Jung-Woo Ha
3. Sangdoo Yun
4. Sanghyuk Chun
5. Seong Joon Oh
6. Hyun-woo Koh
7. Sang-Woo Lee
8. Eunwoo Song
9. Jaemin Cho
10. Raphael Shu

Papers from Hanjoo Kim's perspective

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

Their papers

• NSML: Meet the MLaaS platform with a real-world case study (2018) — 137 citations