Cheng Hong

Computer Vision and Pattern Recognition · with Liu · 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 Cheng Hong 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

Papers from Cheng Hong's perspective

Ordered by how strongly the researchers Cheng Hong 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. LIBSVM: A library for support vector machines
7. ImageNet: A large-scale hierarchical image database
8. Learning realistic human actions from movies
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

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