Xiaolin Wu

Computer Vision and Pattern Recognition · with Zhang · 2016

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #13,127 of 21,575 by trust here, #16,787 by citations

Whom Xiaolin Wu trusts overall

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

1. Volker Blanz
2. David Freedman
3. Naomi S. Altman
4. Corinna Cortes
5. Alex Krizhevsky
6. Rajkiran Gottumukkal
7. Thomas Vetter
8. Josh Tenenbaum
9. Ammad Ali
10. Vladimir Naumovich Vapnik

Who trusts Xiaolin Wu overall

1. Jake Goldenfein
2. Joy Buolamwini
3. Tyler Schnoebelen
4. Jamie Hayes

Papers from Xiaolin Wu's perspective

Ordered by how strongly the researchers Xiaolin Wu 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Automated Inference on Criminality using Face Images (2016) — 118 citations