Fei Wang

Computer Vision and Pattern Recognition · with Situ · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Computational Mechanics — 8 citations into it
• Artificial Intelligence — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Fei Wang trusts overall

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

1. Dmitry Ulyanov
2. Sebastian Ruder
3. Hanbo Wang
4. E.J. Candes
5. Graham M. Gibson
6. Reinhard Heckel
7. Olaf Ronneberger
8. Andrea Vedaldi
9. Y. Bromberg
10. George Barbastathis

Papers from Fei Wang's perspective

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

Their papers

• Far-field super-resolution ghost imaging with a deep neural network constraint (2022) — 296 citations
• Phase imaging with an untrained neural network (2020) — 369 citations