Ru Yang

Computer Vision and Pattern Recognition · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #15,621 of 21,575 by trust here, #10,154 by citations

Whom Ru Yang trusts overall

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

1. Andrew Zisserman
2. Josef Sivic
3. David G. Lowe
4. Svetlana Lazebnik
5. Li Fei-Fei

Who trusts Ru Yang overall

1. Parnian Afshar

Papers from Ru Yang's perspective

Ordered by how strongly the researchers Ru Yang 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. Distinctive Image Features from Scale-Invariant Keypoints
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Retrieval of Brain Tumors by Adaptive Spatial Pooling and Fisher Vector Representation (2016) — 275 citations
• Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition (2015) — 815 citations