Alan B. McMillan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 7 citations into it

Whom Alan B. McMillan trusts overall

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

1. L. Eon Bottou

Papers from Alan B. McMillan's perspective

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

1. Fully convolutional networks for semantic segmentation
2. Caffe: Convolutional Architecture for Fast Feature Embedding
3. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
4. ImageNet classification with deep convolutional neural networks
5. What is the best multi-stage architecture for object recognition?
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Large-Scale Machine Learning with Stochastic Gradient Descent
9. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Deep learning Mr imaging–based attenuation correction for PeT/Mr imaging 1 (2017)