A. Plate

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it

Whom A. Plate trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton

Papers from A. Plate's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Visualizing and Understanding Convolutional Networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Improving neural networks by preventing co-adaptation of feature detectors
8. Gradient-based learning applied to document recognition
9. Caffe: Convolutional Architecture for Fast Feature Embedding
10. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Their papers

• Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound (2016) — 378 citations