Ye Xu

Computer Vision and Pattern Recognition · with Furao · 2010–2013

A researcher in the Science corpus: 4 papers; trusts 113 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #13,712 of 21,575 by trust here, #11,083 by citations
• Artificial Intelligence — 14 citations into it; #22,144 of 35,345 by trust here, #17,412 by citations
• Statistical Learning Theory — 6 citations into it
• Optimization & Training — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it; #2,645 of 3,145 by trust here, #2,148 by citations

Whom Ye Xu trusts overall

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

1. Bernd Fritzke
2. David G. Lowe
3. Trevor J. Hastie
4. Thorsten Joachims
5. Li Fei-Fei
6. Antonio Torralba
7. Geoffrey E. Hinton
8. Sam T. Roweis
9. Aristidis C. Likas
10. Rob Fergus

Who trusts Ye Xu overall

1. Kuilin Chen
2. Yusuke Iwasawa
3. Chi-Guhn Lee
4. Jindong Wang
5. Saeid Motiian
6. Haoliang Li
7. Lucas Mansilla
8. Min Du
9. Shujun Wang

Papers from Ye Xu's perspective

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

Their papers

• Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias (2013) — 497 citations
• An incremental learning vector quantization algorithm for pattern classification (2012) — 49 citations
• Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace (2010) — 16 citations
• Mining Invariants from Console Logs for System Problem Detection (2010) — 395 citations