A. Brown

Computer Vision and Pattern Recognition · with Bain · 2020

A researcher in the Science corpus: 1 paper; trusts 208 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it
• Artificial Intelligence — 21 citations into it
• Multimodal Learning — 12 citations into it

Whom A. Brown trusts overall

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

1. Diederik P. Kingma
2. Andrew Zisserman
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Kaiming He
6. Michael I. Jordan
7. Yoshua Bengio
8. Karen Simonyan
9. Makarand Tapaswi
10. Yann LeCun

Papers from A. Brown's perspective

Ordered by how strongly the researchers A. Brown 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
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

• Condensed Movies: Story Based Retrieval with Contextual Embeddings (2020) — 127 citations