Ngan T. H. Le

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 255 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 54 citations into it
• Artificial Intelligence — 34 citations into it
• Cognitive Neuroscience — 24 citations into it
• Electrical and Electronic Engineering — 24 citations into it
• Efficiency & Compression — 19 citations into it
• Model Architectures — 17 citations into it
• Signal Processing — 15 citations into it
• Cellular and Molecular Neuroscience — 7 citations into it

Whom Ngan T. H. Le trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Ross B. Girshick
6. Yoshua Bengio
7. Ilya Sutskever
8. Karen Simonyan
9. Shaoqing Ren
10. Diederik P. Kingma

Papers from Ngan T. H. Le's perspective

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

Their papers

• ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks (2019) — 41 citations
• Spiking Neural Networks and Their Applications: A Review (2022) — 572 citations