Seoungyoon Kang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #14,227 of 21,575 by trust here, #16,787 by citations
• Biomedical Engineering — 13 citations into it; #5,224 of 10,734 by trust here, #8,278 by citations
• 3D Vision & Pose — 6 citations into it
• Artificial Intelligence — 5 citations into it; #23,048 of 35,345 by trust here, #25,809 by citations

Whom Seoungyoon Kang trusts overall

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

1. Sepp Hochreiter
2. Amir Shahroudy
3. Xiaodong Yang
4. Jun Liu
5. Lu Xia
6. Yong Du
7. Christian Szegedy
8. Di Wu
9. Geoffrey E. Hinton

Who trusts Seoungyoon Kang overall

1. Chenyang Si
2. Ankit Thakkar

Papers from Seoungyoon Kang's perspective

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

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

Their papers

• Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks (2017) — 375 citations