Sunghun Joung

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 8 citations into it

Whom Sunghun Joung trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. Diederik P. Kingma
5. Shaoqing Ren
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yann LeCun
9. Yoshua Bengio
10. Piotr Doll'ar

Papers from Sunghun Joung's perspective

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

Their papers

• Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature Learning (2019) — 15 citations