Edwin G. Ng

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Multimodal Learning — 22 citations into it
• Artificial Intelligence — 17 citations into it

Whom Edwin G. Ng trusts overall

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

1. Geoffrey E. Hinton
2. Jiasen Lu
3. Kaiming He
4. Alex Krizhevsky
5. Peter Anderson
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ross B. Girshick
10. Yann LeCun

Papers from Edwin G. Ng's perspective

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

Their papers

• Understanding Guided Image Captioning Performance across Domains (2020) — 32 citations