Fei Zhao

Computer Vision and Pattern Recognition · with Geng · 2024

A researcher in the Science corpus: 1 paper; trusts 444 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 93 citations into it
• Artificial Intelligence — 58 citations into it
• Multimodal Learning — 43 citations into it
• Natural Language Processing — 15 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Generative Models — 8 citations into it
• Signal Processing — 6 citations into it
• Media Technology — 5 citations into it

Whom Fei Zhao trusts overall

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

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

Papers from Fei Zhao's perspective

Ordered by how strongly the researchers Fei Zhao 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Multimodal Data Fusion (2024) — 427 citations