Sicheng Wang

Computer Vision and Pattern Recognition · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Media Technology — 9 citations into it

Whom Sicheng Wang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Kai Zhang
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Ilya Sutskever
8. Diederik P. Kingma
9. Karen Simonyan

Papers from Sicheng Wang's perspective

Ordered by how strongly the researchers Sicheng Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Plug-and-Play Methods Provably Converge with Properly Trained Denoisers (2019) — 451 citations