Qingyun Sun

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Reinforcement Learning — 11 citations into it

Whom Qingyun Sun trusts overall

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

1. Kaiming He
2. Stéphane Ross
3. Yann LeCun
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Karol Gregor
7. Yoshua Bengio
8. Diederik P. Kingma
9. X. Zhang
10. Ilya Sutskever

Who trusts Qingyun Sun overall

1. Sifan Wang

Papers from Qingyun Sun's perspective

Ordered by how strongly the researchers Qingyun Sun 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. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• How to Close Sim-Real Gap? Transfer with Segmentation! (2020) — 10 citations
• Neural Proximal Gradient Descent for Compressive Imaging (2018) — 174 citations