Songzhi Su

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it

Whom Songzhi Su trusts overall

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

1. David G. Lowe

Papers from Songzhi Su's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Distinctive Image Features from Scale-Invariant Keypoints
3. Histograms of oriented gradients for human detection
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. This PDF file includes: Materials and Methods
6. A Fast Learning Algorithm for Deep Belief Nets
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Feature learning based on SAE-PCA network for human gesture recognition in RGBD images (2015) — 111 citations