Gefei Wang

Computer Vision and Pattern Recognition · with Jiao · 2021

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #20,059 of 21,575 by trust here, #18,782 by citations
• Generative Models — 30 citations into it
• Artificial Intelligence — 19 citations into it; #32,717 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Signal Processing — 7 citations into it

Whom Gefei Wang trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yang Song
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Kaiming He
7. Yann LeCun
8. Laurent Dinh
9. Stefano Ermon
10. Peter L. Bartlett

Who trusts Gefei Wang overall

1. Stefano Peluchetti
2. Valentin De Bortoli
3. James Thornton

Papers from Gefei Wang's perspective

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

Their papers

• Deep Generative Learning via Schrödinger Bridge (2021) — 148 citations