Nathan Louis

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #17,910 of 21,575 by trust here, #17,258 by citations
• Artificial Intelligence — 11 citations into it
• Multimodal Learning — 7 citations into it; #1,093 of 1,211 by trust here, #1,104 by citations

Whom Nathan Louis trusts overall

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

1. Andrej Karpathy
2. Li Fei-Fei
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yoshua Bengio
8. Ashish Vaswani
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Nathan Louis overall

1. Chen Sun

Papers from Nathan Louis's perspective

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

Their papers

• Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction (2018) — 105 citations