Simon Hessner - Supervised

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 123 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #9,482 of 21,575 by trust here, #16,367 by citations

Whom Simon Hessner - Supervised trusts overall

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

1. Karen Simonyan
2. Xun Huang
3. Andrew Zisserman
4. Justin Johnson
5. Leon A. Gatys
6. Serge J. Belongie
7. Tsung-Yi Lin
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Kaiming He

Who trusts Simon Hessner - Supervised overall

1. Dae Young Park
2. Lyle Regenwetter
3. C. Stringer
4. Kwang Hee Lee
5. Amin Heyrani Nobari
6. Tim Wang
7. Dan Hendrycks
8. Faez Ahmed
9. Cameron Fabbri
10. Michalis Michaelos

Papers from Simon Hessner - Supervised's perspective

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

Their papers

• Image Style Transfer using Convolutional Neural Networks (2018)