Junseok Park

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 21 citations into it
• Multimodal Learning — 15 citations into it
• Graph Learning — 9 citations into it
• Natural Language Processing — 7 citations into it

Whom Junseok Park trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Kaiming He
5. Alex Krizhevsky
6. Sepp Hochreiter
7. Jimmy Ba
8. Yann LeCun
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Junseok Park's perspective

Ordered by how strongly the researchers Junseok Park 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

• DialGraph: Sparse Graph Learning Networks for Visual Dialog (2020) — 4 citations