Bong-Nam Kang

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 235 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 6 citations into it

Whom Bong-Nam Kang trusts overall

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

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

Papers from Bong-Nam Kang's perspective

Ordered by how strongly the researchers Bong-Nam 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. 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection (2018) — 63 citations