Ming-yu Chen

Computer Vision and Pattern Recognition · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 151 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 11 citations into it

Whom Ming-yu Chen trusts overall

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

1. Ivan Laptev
2. David G. Lowe
3. Piotr Doll'ar
4. Christian Schüldt
5. Yan Ke
6. Juan Carlos Niebles
7. Cordelia Schmid
8. Marcin Marszalek
9. Kaiming He
10. Geoffrey E. Hinton

Who trusts Ming-yu Chen overall

1. Yi Yang
2. Jun Wan
3. Zhongwen Xu
4. Q. Ruan
5. E. Bermejo
6. Alexander G. Hauptmann
7. Chuang Gan
8. Minnan Luo
9. Zhigang Ma
10. Xiaojun Chang

Papers from Ming-yu Chen's perspective

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

Their papers

• Comparing Evaluation Protocols on the KTH Dataset (2010) — 67 citations
• MoSIFT: Recognizing Human Actions in Surveillance Videos (2009) — 403 citations