Mengqing Jiang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #16,837 of 21,575 by trust here, #3,827 by citations
• Artificial Intelligence — 20 citations into it; #32,153 of 35,345 by trust here, #5,120 by citations

Whom Mengqing Jiang trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Christian Szegedy
5. Ross B. Girshick
6. Karen Simonyan
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. X. Zhang

Who trusts Mengqing Jiang overall

1. Wenguan Wang
2. Meng-Hao Guo
3. Jianbing Shen
4. Xiatian Zhu
5. Junsuk Choe
6. Kohei Yamamoto
7. Levi D. McClenny
8. Yulun Zhang
9. Fei Wang

Papers from Mengqing Jiang's perspective

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

Their papers

• Residual Attention Network for Image Classification (2017) — 3,644 citations