Fei Wu

Computer Vision and Pattern Recognition · with Jing · 2020

A researcher in the Science corpus: 3 papers; trusts 359 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 113 citations into it
• Generative Models — 55 citations into it
• Artificial Intelligence — 47 citations into it
• Multimodal Learning — 25 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 12 citations into it
• Media Technology — 8 citations into it
• Biophysics — 5 citations into it

Whom Fei Wu trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ross B. Girshick
6. Yoshua Bengio
7. Karen Simonyan
8. Yann LeCun
9. Ilya Sutskever
10. Christian Szegedy

Papers from Fei Wu's perspective

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

Their papers

• DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis (2020) — 308 citations
• Dynamic attention network for semantic segmentation (2020) — 35 citations
• DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis (2020) — 224 citations