Patrick Lambert

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 23 citations into it
• Media Technology — 12 citations into it; #3,276 of 3,621 by trust here, #2,598 by citations
• Atmospheric Science — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Patrick Lambert trusts overall

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

1. Geoffrey E. Hinton
2. L. Eon Bottou
3. Yoshua Bengio
4. Ruslan Salakhutdinov
5. Alex Krizhevsky
6. Yann LeCun
7. Kaiming He
8. Ilya Sutskever
9. Diederik P. Kingma
10. Nitish Srivastava

Who trusts Patrick Lambert overall

1. Swalpa Kumar Roy

Papers from Patrick Lambert's perspective

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

Their papers

• 3-D Deep Learning Approach for Remote Sensing Image Classification (2018) — 765 citations