Chi-Hieu Pham

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Media Technology — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Model Architectures — 8 citations into it
• Optimization & Training — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 6 citations into it

Whom Chi-Hieu Pham trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Yoshua Bengio
4. Karen Simonyan
5. Yann LeCun
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Jiwon Kim
9. Andrew Zisserman
10. Chao Dong

Who trusts Chi-Hieu Pham overall

1. Jun Shi
2. S. Kevin Zhou

Papers from Chi-Hieu Pham's perspective

Ordered by how strongly the researchers Chi-Hieu Pham 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Multiscale brain MRI super-resolution using deep 3D convolutional networks (2019) — 357 citations