Il-Seok Oh

Computer Vision and Pattern Recognition · 2004–2018

A researcher in the Science corpus: 2 papers; trusts 234 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 17 citations into it; #11,082 of 35,345 by trust here, #17,110 by citations
• Safety, Robustness & Interpretability — 15 citations into it

Whom Il-Seok Oh trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Alex Krizhevsky
6. Yann LeCun
7. Matthew D. Zeiler
8. Yoshua Bengio
9. Jia Deng
10. Christian Szegedy

Who trusts Il-Seok Oh overall

1. Ezgi Zorarpacı
2. Alan Jović
3. Salem Alelyani
4. Yong Zhang
5. Jinjie Huang
6. Li-Fei Chen
7. Bahareh Pourbabaee
8. Xuelian Deng
9. Pablo A. Estévez
10. Qasem Al-Tashi

Papers from Il-Seok Oh's perspective

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

Their papers

• Regional Multi-Scale Approach for Visually Pleasing Explanations of Deep Neural Networks (2018) — 29 citations
• Hybrid Genetic Algorithms for Feature Selection (2004) — 952 citations