Yaoqi Sun

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yaoqi Sun trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Yann LeCun
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Zhedong Zheng
8. X. Zhang
9. Ross B. Girshick

Papers from Yaoqi Sun's perspective

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

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

Their papers

• Each Part Matters: Local Patterns Facilitate Cross-View Geo-Localization (2020) — 295 citations