Guorun Yang

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Aerospace Engineering — 6 citations into it

Whom Guorun Yang trusts overall

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

1. Kaiming He
2. Andreas Geiger
3. Heiko Hirschmüller
4. Yann LeCun
5. Evan Shelhamer
6. Geoffrey E. Hinton
7. Ross B. Girshick
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Guorun Yang overall

1. Gangwei Xu
2. Hamid Laga
3. Xingyu Liu
4. Xiaoyang Guo
5. Xiaodong Gu
6. Maximilian Durner
7. Laurent Valentin Jospin
8. Xianqi Wang

Papers from Guorun Yang's perspective

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

Their papers

• SegStereo: Exploiting Semantic Information for Disparity Estimation (2018) — 377 citations
• A novel deep learning framework for state of health estimation of lithium-ion battery (2020) — 349 citations