Yubin Yang

Computer Vision and Pattern Recognition · 2002–2021

A researcher in the Science corpus: 4 papers; trusts 679 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 100 citations into it; #14,328 of 21,575 by trust here, #12,419 by citations
• Media Technology — 35 citations into it; #2,212 of 3,621 by trust here, #1,696 by citations
• Artificial Intelligence — 30 citations into it; #17,769 of 35,345 by trust here, #19,018 by citations
• Model Architectures — 24 citations into it
• Computational Mechanics — 16 citations into it
• Optimization & Training — 8 citations into it
• Efficiency & Compression — 5 citations into it

Whom Yubin Yang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Shaoqing Ren
6. Diederik P. Kingma
7. Karen Simonyan
8. Yoshua Bengio
9. Yann LeCun
10. X. Zhang

Who trusts Yubin Yang overall

1. Xin Tao
2. Ying Tai
3. Haokui Zhang
4. Jie Li
5. Yulun Zhang
6. Hongyun Gao
7. Wenqi Ren
8. Fahad Shamshad
9. Salman Hameed Khan
10. Tobias Plötz

Papers from Yubin Yang's perspective

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

Their papers

• Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections (2016) — 429 citations
• Lung cancer cell identification based on artificial neural network ensembles (2002) — 394 citations
• SA-Net: Shuffle Attention for Deep Convolutional Neural Networks (2021) — 777 citations
• Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (2016) — 1,698 citations