Seunghyeon Kim

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 158 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Seunghyeon Kim trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Andrew Zisserman
7. Navneet Dalal
8. Shaoqing Ren
9. Yoshua Bengio
10. Yann LeCun

Papers from Seunghyeon Kim's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection (2019) — 338 citations