Tae Soo Kim

Computer Vision and Pattern Recognition · with Qiao · 2017

A researcher in the Science corpus: 2 papers; trusts 235 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #6,000 of 21,575 by trust here, #9,722 by citations
• Artificial Intelligence — 18 citations into it
• Model Architectures — 11 citations into it
• Biomedical Engineering — 7 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Tae Soo Kim trusts overall

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

1. Kaiming He
2. Matthew D. Zeiler
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Karen Simonyan
8. Rob Fergus
9. Ilya Sutskever
10. X. Zhang

Who trusts Tae Soo Kim overall

1. Yifan Zhang
2. Lei Shi
3. Jun Liu
4. Jian Cheng
5. Hanqing Lu
6. Wei Peng
7. Ke Cheng
8. Jue Wang
9. Zhan Chen
10. Maosen Li

Papers from Tae Soo Kim's perspective

Ordered by how strongly the researchers Tae Soo 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• UnrealCV: Virtual Worlds for Computer Vision (2017) — 251 citations
• Interpretable 3D Human Action Analysis with Temporal Convolutional Networks (2017) — 661 citations