Shaolin Su

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Media Technology — 17 citations into it

Whom Shaolin Su trusts overall

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

1. Kede Ma
2. A. Bovik
3. Jongyoo Kim
4. Karen Simonyan
5. Kaiming He
6. Peng Ye
7. Deepti Ghadiyaram
8. Alex Krizhevsky
9. Anush K. Moorthy
10. Andrew Zisserman

Who trusts Shaolin Su overall

1. Jianyi Wang
2. Weixia Zhang
3. Junjie Ke
4. Sidi Yang
5. Haoning Wu
6. Kelvin C. K. Chan

Papers from Shaolin Su's perspective

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

Their papers

• Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network (2020) — 927 citations