Jia Yan

Computer Vision and Pattern Recognition · with Deng · 2019

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #20,802 of 21,575 by trust here, #15,529 by citations
• Media Technology — 15 citations into it
• Artificial Intelligence — 11 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Jia Yan trusts overall

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

1. Kede Ma
2. Kaiming He
3. A. Bovik
4. Karen Simonyan
5. Diederik P. Kingma
6. Geoffrey E. Hinton
7. Andrew Zisserman
8. Sergey Ioffe
9. Alex Krizhevsky
10. Zhou Wang

Who trusts Jia Yan overall

1. Weixia Zhang

Papers from Jia Yan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network (2019) — 937 citations