K. Boetzel

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 K. Boetzel trusts

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

1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
3. Ilya Sutskever (in Computer Vision and Pattern Recognition)

Papers from K. Boetzel's perspective

Ordered by how strongly the researchers K. Boetzel 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Improving neural networks by preventing co-adaptation of feature detectors
6. Visualizing and Understanding Convolutional Networks
7. Caffe: Convolutional Architecture for Fast Feature Embedding
8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
9. Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks
10. Brain tumor segmentation with Deep Neural Networks

Their papers

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