Dong-Jin Kim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 17 citations into it
• Multimodal Learning — 10 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Generative Models — 6 citations into it

Whom Dong-Jin Kim trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Ilya Sutskever
8. Oriol Vinyals
9. Jimmy Ba
10. Chin-Yew Lin

Who trusts Dong-Jin Kim overall

1. Matteo Stefanini
2. Marcella Cornia

Papers from Dong-Jin Kim's perspective

Ordered by how strongly the researchers Dong-Jin Kim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach (2019) — 61 citations