Jun Liu

Computer Vision and Pattern Recognition · with Tan · 2003–2010

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #6,226 of 21,575 by trust here, #8,612 by citations
• Artificial Intelligence — 6 citations into it

Whom Jun Liu trusts overall

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

1. Bernhard Schölkopf
2. Jun Liu
3. Marco Loog
4. Alex Smola
5. J. Platt
6. Robert P. W. Duin
7. Petr Somol
8. Paul A. Viola
9. Nicolai Meinshausen
10. Trevor J. Hastie

Who trusts Jun Liu overall

1. Ruiping Wang
2. Cristina Marghes
3. Wilman W. W. Zou
4. Mehrtash Harandi
5. Meng Yang
6. Xiaohang Jin
7. Jie Gui
8. Mengchen Liu
9. André Anjos
10. Yonghui Xu

Papers from Jun Liu's perspective

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

Their papers

• Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model (2010) — 578 citations
• Efficient and robust feature extraction by maximum margin criterion (2003) — 970 citations