Christopher Targett

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #5,128 of 21,575 by trust here, #4,525 by citations

Whom Christopher Targett trusts overall

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

1. Matthew D. Hoffman
2. Geoffrey E. Hinton
3. Yangqing Jia
4. Michael S. Lew
5. Alex Krizhevsky

Who trusts Christopher Targett overall

1. Xu Chen
2. Ruining He
3. Yongfeng Zhang
4. Julian McAuley
5. Han-Jia Ye
6. Qizhe Xie
7. Qingyao Ai
8. Wang-Cheng Kang
9. Hanxiong Chen
10. Jan Lukes

Papers from Christopher Targett's perspective

Ordered by how strongly the researchers Christopher Targett 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Image-Based Recommendations on Styles and Substitutes (2015) — 2,890 citations