Qinquan Gao

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 96 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #9,825 of 21,575 by trust here, #6,542 by citations
• Artificial Intelligence — 16 citations into it
• Media Technology — 12 citations into it; #1,482 of 3,621 by trust here, #839 by citations

Whom Qinquan Gao trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Christian Szegedy
5. X. Zhang
6. Alex Krizhevsky
7. Bruce Fischl
8. Shaoqing Ren
9. Yoshua Bengio
10. Yann LeCun

Who trusts Qinquan Gao overall

1. Saeed Anwar
2. Yochai Blau

Papers from Qinquan Gao's perspective

Ordered by how strongly the researchers Qinquan Gao 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. Et al
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Image Super-Resolution Using Dense Skip Connections (2017) — 1,272 citations
• Convolutional Neural Networks-Based MRI Image Analysis for the Alzheimer’s Disease Prediction From Mild Cognitive Impairment (2018) — 338 citations
• Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge (2013) — 882 citations