Yuval Netzer

Computer Vision and Pattern Recognition · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 2,767 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #733 of 21,575 by trust here, #814 by citations

Whom Yuval Netzer trusts overall

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

1. Honglak Lee
2. Navneet Dalal
3. Adam Coates
4. Geoffrey E. Hinton
5. Andrew Y. Ng
6. Yoshua Bengio
7. Alex Krizhevsky
8. Yann LeCun
9. Ian J. Goodfellow
10. Pascal Vincent

Who trusts Yuval Netzer overall

1. Yoshua Bengio
2. Andrea Vedaldi
3. Ruslan Salakhutdinov
4. Quoc V. Le
5. Trevor Darrell
6. Dacheng Tao
7. Ian J. Goodfellow
8. Fei Ye
9. Andrew Zisserman
10. Sergey Levine

Papers from Yuval Netzer's perspective

Ordered by how strongly the researchers Yuval Netzer 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Reading Digits in Natural Images with Unsupervised Feature Learning (2011) — 8,121 citations
• PhotoOCR: Reading Text in Uncontrolled Conditions (2013) — 511 citations