Kanggeon Kim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it

Whom Kanggeon Kim trusts

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

1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
3. Xiaoou Tang (in Computer Vision and Pattern Recognition)
4. Karen Simonyan (in Computer Vision and Pattern Recognition)
5. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
6. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from Kanggeon Kim's perspective

Ordered by how strongly the researchers Kanggeon Kim trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. FaceNet: A unified embedding for face recognition and clustering
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild (2019) — 102 citations