Weilun Wang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Generative Models — 26 citations into it

Whom Weilun Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Prafulla Dhariwal
6. Yoshua Bengio
7. Alex Nichol
8. Tero Karras
9. Karen Simonyan
10. Yann LeCun

Papers from Weilun Wang's perspective

Ordered by how strongly the researchers Weilun Wang 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. ImageNet: A large-scale hierarchical image database
4. GENERATIVE ADVERSARIAL NETS
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• DIRE for Diffusion-Generated Image Detection (2023) — 554 citations