K. Stevens

Computer Vision and Pattern Recognition · with Chaudhari · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #21,333 of 21,575 by trust here, #20,271 by citations

Whom K. Stevens trusts overall

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

1. Yann LeCun

Who trusts K. Stevens overall

1. Arvid Lundervold

Papers from K. Stevens's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Backpropagation Applied to Handwritten Zip Code Recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Image quality assessment: from error visibility to structural similarity
8. Handwritten Digit Recognition with a Back-Propagation Network
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Super-Resolution Musculoskeletal MRI Using Deep Learning (2018) — 357 citations