Nick Schneider

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #19,419 of 21,575 by trust here, #10,334 by citations
• Aerospace Engineering — 11 citations into it

Whom Nick Schneider trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Andreas Geiger
6. Yoshua Bengio
7. Heiko Hirschmüller
8. Christian Szegedy
9. Ross B. Girshick
10. Diederik P. Kingma

Who trusts Nick Schneider overall

1. Jamie Watson
2. Yinda Zhang
3. Matteo Poggi
4. Xinjing Cheng
5. Tianwei Yin
6. Fangchang Ma
7. Fredrik K. Gustafsson
8. Clément Godard
9. Danfei Xu
10. Peter Karkus

Papers from Nick Schneider's perspective

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

Their papers

• Sparsity Invariant CNNs (2017) — 967 citations