Weixuan Tang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 7 citations into it

Whom Weixuan Tang trusts overall

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

1. Jessica J. Fridrich
2. Tomáš Filler
3. Sergey Ioffe
4. Tomás Pevný
5. Christian Szegedy
6. Min Lin
7. Vojtech Holub
8. Vahid Sedighi
9. Guanshuo Xu
10. Alex Krizhevsky

Who trusts Weixuan Tang overall

1. Matthew Tancik
2. Hojjat Salehinejad
3. Ben Mildenhall

Papers from Weixuan Tang's perspective

Ordered by how strongly the researchers Weixuan Tang 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. Gradient-based learning applied to document recognition
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Automatic Steganographic Distortion Learning Using a Generative Adversarial Network (2017) — 361 citations