Sebastien C. Wong

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it; #19,281 of 21,575 by trust here, #9,305 by citations
• Artificial Intelligence — 9 citations into it; #31,391 of 35,345 by trust here, #13,544 by citations

Whom Sebastien C. Wong trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Karen Simonyan
4. Kaiming He
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Yoshua Bengio
8. Christian Szegedy
9. Adam Coates
10. Pierre Sermanet

Who trusts Sebastien C. Wong overall

1. Luis Perez
2. Markus Bayer
3. Eleonora Cagli
4. Hossam H. Sultan
5. Hiba Chougrad
6. Alberto Garcia-Garcia
7. Pietro Buzzega
8. Avraham Ruderman
9. Gabriele Merlin
10. Taban Eslami

Papers from Sebastien C. Wong's perspective

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

Their papers

• Understanding Data Augmentation for Classification: When to Warp? (2016) — 974 citations