Seunghwan Yoo

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #18,699 of 21,575 by trust here, #13,815 by citations

Whom Seunghwan Yoo trusts overall

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

1. Andrew L. Maas
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ce Liu
5. Jia Deng
6. Andrej Karpathy
7. Jianchao Yang
8. Radu Timofte
9. Yangqing Jia
10. Yann LeCun

Who trusts Seunghwan Yoo overall

1. Nantheera Anantrasirichai
2. Zhihao Wang
3. Mehdi S. M. Sajjadi
4. Michael T. McCann
5. Yapeng Tian
6. Younghyun Jo
7. Alice Lucas
8. Ren Yang
9. Xintao Wang
10. Peng Yi

Papers from Seunghwan Yoo's perspective

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

Their papers

• Video Super-Resolution With Convolutional Neural Networks (2016) — 626 citations