Paul C. Miller

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 124 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #10,817 of 21,575 by trust here, #12,172 by citations
• Artificial Intelligence — 14 citations into it
• Biomedical Engineering — 6 citations into it; #3,316 of 10,734 by trust here, #5,917 by citations
• Model Architectures — 5 citations into it

Whom Paul C. Miller trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Ilya Sutskever
5. Michael C. Mozer
6. Yann LeCun
7. Andrew Zisserman
8. Yoshua Bengio
9. Kilian Q. Weinberger
10. Nitish Srivastava

Who trusts Paul C. Miller overall

1. Mang Ye
2. Liang Zheng

Papers from Paul C. Miller's perspective

Ordered by how strongly the researchers Paul C. Miller 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Recurrent Convolutional Network for Video-Based Person Re-identification (2016) — 589 citations
• Deep Android Malware Detection (2017) — 480 citations