Yunji Kim

Computer Vision and Pattern Recognition · with Kim · 2018

A researcher in the Science corpus: 1 paper; trusts 258 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it; #12,724 of 21,575 by trust here, #12,419 by citations
• Generative Models — 22 citations into it; #1,169 of 1,956 by trust here, #1,355 by citations
• Artificial Intelligence — 6 citations into it

Whom Yunji Kim trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Christian Szegedy
5. Kaiming He
6. Yoshua Bengio
7. Scott E. Reed
8. Andrew Zisserman
9. Yann LeCun
10. Jimmy Ba

Who trusts Yunji Kim overall

1. Bowen Li
2. Tsu-Jui Fu
3. Or Patashnik
4. Ming Cao
5. Tianhao Zhang
6. Seung Hyun Lee
7. Yahui Liu

Papers from Yunji Kim's perspective

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

Their papers

• Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language (2018) — 225 citations