Hung Le Minh

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Hung Le Minh trusts overall

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

1. Ross B. Girshick

Papers from Hung Le Minh's perspective

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

1. Going deeper with convolutions
2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Fully convolutional networks for semantic segmentation
6. Gradient-based learning applied to document recognition
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: A large-scale hierarchical image database

Their papers

• Co‐trained convolutional neural networks for automated detection of prostate cancer in multi‐parametric MRI (2017) — 143 citations