Fan Tang

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 204 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it
• Generative Models — 61 citations into it
• Artificial Intelligence — 32 citations into it
• Computer Graphics and Computer-Aided Design — 18 citations into it

Whom Fan Tang trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Alec Radford
7. Ilya Sutskever
8. Yann LeCun
9. Ross B. Girshick
10. Jimmy Ba

Who trusts Fan Tang overall

1. Jiwoo Chung

Papers from Fan Tang's perspective

Ordered by how strongly the researchers Fan Tang 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. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Inversion-based Style Transfer with Diffusion Models (2022) — 478 citations
• StyTr2: Image Style Transfer with Transformers (2021) — 433 citations
• DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis (2021) — 128 citations
• Selective clustering for representative paintings selection (2019) — 9 citations