Kye-Hyeon Kim

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #20,713 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 5 citations into it

Whom Kye-Hyeon Kim trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Sergey Ioffe
4. Christian Szegedy
5. Spyros Gidaris
6. Shaoqing Ren
7. X. Zhang
8. Geoffrey E. Hinton
9. Sean Bell
10. Alex Krizhevsky

Who trusts Kye-Hyeon Kim overall

1. Shangbang Long
2. Xiongwei Wu
3. Cong Yao
4. Minghui Liao
5. Sergey I. Nikolenko
6. Robert J. Wang
7. Xinyu Zhou
8. Zhengxia Zou
9. Li Liu
10. Xin He

Papers from Kye-Hyeon Kim's perspective

Ordered by how strongly the researchers Kye-Hyeon Kim 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection (2016) — 218 citations