Do Hang Nga

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 255 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 11 citations into it

Whom Do Hang Nga trusts overall

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

1. Ivan Laptev
2. Karen Simonyan
3. Andrew Zisserman
4. Marcin Marszalek
5. Cordelia Schmid
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Kishore K. Reddy
9. Yushi Jing
10. Kaiming He

Papers from Do Hang Nga's perspective

Ordered by how strongly the researchers Do Hang Nga 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automatic Construction of Action Datasets Using Web Videos with Density-Based Cluster Analysis and Outlier Detection (2015) — 3 citations