Jiaming Li

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 8 citations into it
• Generative Models — 6 citations into it

Whom Jiaming Li trusts overall

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

1. Diederik P. Kingma
2. François Chollet
3. Geoffrey E. Hinton
4. Individualized Treat
5. L. V. D. van der Maaten
6. Ilya Loshchilov
7. Justus Thies
8. Davide Cozzolino
9. Alex Krizhevsky
10. Max Welling

Who trusts Jiaming Li overall

1. Yong Zhang
2. Chuangchuang Tan
3. Junyi Cao
4. Yibing Song

Papers from Jiaming Li's perspective

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

Their papers

• Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection (2021) — 345 citations