Wei Yang
Computer Vision and Pattern Recognition · with Feng · 2014–2016
A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it; #14,061 of 21,575 by trust here, #9,872 by citations
- Artificial Intelligence — 8 citations into it
- Biomedical Engineering — 5 citations into it
Whom Wei Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman
- Florent Perronnin
- Andrea Vedaldi
- Karen Simonyan
- Josef Sivic
- Svetlana Lazebnik
- David G. Lowe
- Geoffrey E. Hinton
- Alex Krizhevsky
- Vladimir Katkovnik
Who trusts Wei Yang overall
Papers from Wei Yang's perspective
Ordered by how strongly the researchers Wei Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
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
- Denoising of 3D magnetic resonance images by using higher-order singular value decomposition (2015) — 105 citations
- Denoising of 3 D Magnetic Resonance Images by Using 1 Higher-Order Singular Value Decomposition 2 (2014)