Shanshan Zhao

Computer Vision and Pattern Recognition · with Li · 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 — 50 citations into it
• Representation & Self-Supervised Learning — 19 citations into it

Whom Shanshan Zhao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. L. V. D. van der Maaten
4. Antonio Torralba
5. Yann LeCun
6. Diederik P. Kingma
7. Kaiming He
8. Yoshua Bengio
9. Shiv Shankar
10. Ilya Sutskever

Who trusts Shanshan Zhao overall

1. Divyat Mahajan
2. Kaiyang Zhou
3. Lixu Wang
4. Shruti Tople
5. Ziwei Liu
6. Shichao Xu

Papers from Shanshan Zhao's perspective

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

Their papers

• AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results (2020) — 43 citations
• Domain Generalization via Entropy Regularization (2020) — 317 citations