Bin Yu

Computer Vision and Pattern Recognition · with Ji · 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 Bin Yu trusts overall

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

1. David G. Lowe
2. Geoffrey E. Hinton
3. Josef Sivic
4. Alex Krizhevsky
5. Andrew Zisserman
6. Quoc V. Le
7. Yoshua Bengio
8. Nicolas Pugeault
9. Yann LeCun
10. Liefeng Bo

Papers from Bin Yu's perspective

Ordered by how strongly the researchers Bin Yu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Distinctive Image Features from Scale-Invariant Keypoints
9. Histograms of oriented gradients for human detection
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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