F. Wang

Computer Vision and Pattern Recognition · with Wang · 2014–2017

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

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #18,636 of 21,575 by trust here, #16,787 by citations
• Signal Processing — 6 citations into it; #6,498 of 7,572 by trust here, #5,086 by citations

Whom F. Wang trusts overall

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

1. R. Caruana
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Paul A. Viola
5. Yann LeCun
6. Christian Szegedy
7. Yoshua Bengio
8. Kaiming He
9. Neeraj Kumar
10. Karen Simonyan

Who trusts F. Wang overall

1. Kimmo Kärkkäinen

Papers from F. Wang's perspective

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

Their papers

• Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach (2017) — 299 citations
• Generation of gene-modified cynomolgus monkey via Cas9/RNA-mediated gene targeting in one-cell embryos. (2014) — 1,061 citations