Jan Neumann

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 211 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #21,387 of 21,575 by trust here, #10,334 by citations
• Artificial Intelligence — 30 citations into it; #35,008 of 35,345 by trust here, #15,236 by citations
• Model Architectures — 5 citations into it

Whom Jan Neumann trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ilya Sutskever
4. Matthew D. Zeiler
5. Yoshua Bengio
6. Karen Simonyan
7. Navneet Dalal
8. Kaiming He
9. Yann LeCun
10. Alex Graves

Who trusts Jan Neumann overall

1. Mubarak Shah

Papers from Jan Neumann's perspective

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

• Learning Temporal Regularity in Video Sequences (2016) — 1,362 citations