Minh Hung Le

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Minh Hung Le trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Christian Szegedy
4. Andrew Zisserman
5. X. Zhang
6. Geert J. S. Litjens
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Shaoqing Ren
10. Daniel Rueckert

Who trusts Minh Hung Le overall

1. Arvid Lundervold
2. Tharindu Fernando

Papers from Minh Hung Le's perspective

Ordered by how strongly the researchers Minh Hung Le 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks (2017) — 154 citations