Qing-Yuan Jiang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 242 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it; #4,703 of 21,575 by trust here, #12,419 by citations
• Information Retrieval & Search — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom Qing-Yuan Jiang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Wu-Jun Li
4. Andrea Vedaldi
5. Wei David Liu
6. Ilya Sutskever
7. Karen Simonyan
8. Kaiming He
9. Yoshua Bengio
10. Yann LeCun

Who trusts Qing-Yuan Jiang overall

1. Cheng Deng
2. Erkun Yang
3. Li Liu
4. Yuming Shen
5. Fumin Shen
6. Chao Li
7. Tadas Baltrusaitis
8. Jian Zhang
9. Miaomiao Cheng
10. Hengtong Hu

Papers from Qing-Yuan Jiang's perspective

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

Their papers

• Deep Cross-Modal Hashing (2016) — 752 citations