Grady Jensen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 204 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 19 citations into it; #21,884 of 35,345 by trust here, #21,878 by citations
• Model Architectures — 11 citations into it
• Optimization & Training — 5 citations into it

Whom Grady Jensen trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. Diederik P. Kingma
6. Yann LeCun
7. Karen Simonyan
8. Christian Szegedy
9. Yoshua Bengio
10. Sergey Ioffe

Who trusts Grady Jensen overall

1. Md. Zahangir Alom
2. Fabian Isensee
3. Satya Prakash Singh
4. Yao Qin

Papers from Grady Jensen's perspective

Ordered by how strongly the researchers Grady Jensen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• CNN-based Segmentation of Medical Imaging Data (2017) — 473 citations