Andrew D. Kane

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #12,223 of 21,575 by trust here, #4,001 by citations

Whom Andrew D. Kane trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Karen Simonyan
7. Yann LeCun

Who trusts Andrew D. Kane overall

1. Sergey I. Nikolenko
2. Konstantinos Kamnitsas
3. Guotai Wang

Papers from Andrew D. Kane's perspective

Ordered by how strongly the researchers Andrew D. Kane 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. GENERATIVE ADVERSARIAL NETS
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation (2016) — 3,360 citations
• Unsupervised domain adaptation in brain lesion segmentation with adversarial networks (2016) — 544 citations