Mingchen Gao

Computer Vision and Pattern Recognition · with Lu · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #19,769 of 21,575 by trust here, #3,489 by citations

Whom Mingchen Gao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Matthew D. Zeiler
5. David G. Lowe
6. Yann LeCun
7. Ilya Sutskever
8. Ross B. Girshick
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Mingchen Gao overall

1. Chaopeng Shen
2. Mohammad Mustafa Taye

Papers from Mingchen Gao's perspective

Ordered by how strongly the researchers Mingchen Gao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Learning Multiple Layers of Features from Tiny Images
5. Going deeper with convolutions
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Distinctive Image Features from Scale-Invariant Keypoints
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning (2016) — 5,088 citations