Wenpeng Xiao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Generative Models — 20 citations into it

Whom Wenpeng Xiao trusts overall

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

1. Tero Karras
2. Yujun Shen
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Rameen Abdal

Papers from Wenpeng Xiao's perspective

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

Their papers

• From Continuity to Editability: Inverting GANs with Consecutive Images (2021) — 41 citations