Xin Gao

Computer Vision and Pattern Recognition · with Ji · 2020

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 21 citations into it

Whom Xin Gao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Ruslan Salakhutdinov
5. Yoshua Bengio
6. Ilya Sutskever
7. Kaiming He
8. Diederik P. Kingma
9. Individualized Treat
10. Ross B. Girshick

Papers from Xin Gao's perspective

Ordered by how strongly the researchers Xin Gao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. GENERATIVE ADVERSARIAL NETS
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN (2020) — 59 citations