Zicheng Liu

Computer Vision and Pattern Recognition · with Hong · 2013

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 6 citations into it

Whom Zicheng Liu trusts overall

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

1. David G. Lowe
2. Chih-Jen Lin
3. Jaeyong Sung
4. Navneet Dalal
5. Yang Wang
6. Aaron F. Bobick
7. Hao Zhang
8. Ivan Laptev
9. Pyry Matikainen
10. Colin Ponce

Papers from Zicheng Liu's perspective

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

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

Their papers

• RGB-Depth feature for 3D human activity recognition (2013) — 37 citations