Sam Haaf

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Sam Haaf trusts overall

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

1. David G. Lowe
2. Diederik P. Kingma
3. Sergey Ioffe
4. Guorong Wu
5. Geoffrey E. Hinton
6. Dinggang Shen
7. Nitish Srivastava
8. Benson Mwangi
9. Jimmy Ba
10. Christian Szegedy

Who trusts Sam Haaf overall

1. Arvid Lundervold

Papers from Sam Haaf's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. ImageNet classification with deep convolutional neural networks
4. Dropout: a simple way to prevent neural networks from overfitting
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Deep Learning
10. Going deeper with convolutions

Their papers

• An unsupervised convolutional neural network-based algorithm for deformable image registration (2018) — 58 citations