Mun-Cheon Kang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 282 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 15 citations into it
• Model Architectures — 6 citations into it

Whom Mun-Cheon Kang trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Karen Simonyan
7. Christian Szegedy
8. Tsung-Yi Lin
9. Shaoqing Ren
10. Yann LeCun

Papers from Mun-Cheon Kang's perspective

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

Their papers

• Parallel Feature Pyramid Network for Object Detection (2018) — 286 citations