Youngjoo Jo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 291 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #6,985 of 21,575 by trust here, #12,419 by citations
• Generative Models — 13 citations into it

Whom Youngjoo Jo trusts overall

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

1. Phillip Isola
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Richard Zhang
6. Diederik P. Kingma
7. Yoshua Bengio
8. Saining Xie
9. Jiahui Yu
10. Yann LeCun

Who trusts Youngjoo Jo overall

1. Weihao Xia
2. Håkon Hukkelås
3. Yujiu Yang
4. Rameen Abdal
5. Shuai Yang
6. Chenlin Meng
7. Jing-Hao Xue
8. Frank Lindseth
9. Rudolf Mester
10. Peihao Zhu

Papers from Youngjoo Jo's perspective

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

Their papers

• SC-FEGAN: Face Editing Generative Adversarial Network With User’s Sketch and Color (2019) — 327 citations