Yingge Qu

Computer Vision and Pattern Recognition · 2006–2008

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #9,365 of 21,575 by trust here, #13,542 by citations
• Computer Graphics and Computer-Aided Design — 6 citations into it; #638 of 1,584 by trust here, #976 by citations

Whom Yingge Qu trusts overall

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

1. Stanley J. Osher
2. Anat Levin
3. Manik Varma
4. Yair Weiss
5. Andrew Zisserman
6. Dani Lischinski
7. David G. Lowe
8. James A. Sethian
9. Michael Ashikhmin
10. Alexei A. Efros

Who trusts Yingge Qu overall

1. Zezhou Cheng
2. Xiaobo An
3. Satoshi Iizuka
4. Gustav Larsson
5. Qingxiong Yang
6. Fabio Pellacini
7. Michael Maire
8. Edgar Simo-Serra
9. Bin Sheng
10. Richard Zhang

Papers from Yingge Qu's perspective

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

Their papers

• Manga colorization (2006) — 349 citations
• Intrinsic colorization (2008) — 74 citations