Richard Kijowski

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 Richard Kijowski trusts overall

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

1. L. Eon Bottou
2. Kaiming He
3. Evan Shelhamer

Papers from Richard Kijowski's perspective

Ordered by how strongly the researchers Richard Kijowski 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. Fully convolutional networks for semantic segmentation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Caffe: Convolutional Architecture for Fast Feature Embedding
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Their papers

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