Wan-Chun Ma

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Generative Models — 32 citations into it

Whom Wan-Chun Ma trusts overall

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

1. Tero Karras
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Jun-Yan Zhu
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Karen Simonyan

Papers from Wan-Chun Ma's perspective

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

Their papers

• AgileGAN (2021) — 60 citations