Seyed Sadegh Mohseni Salehi

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 87 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #17,796 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 12 citations into it; #23,410 of 35,345 by trust here, #21,878 by citations
• Radiology, Nuclear Medicine and Imaging — 10 citations into it
• Aerospace Engineering — 7 citations into it
• Biomedical Engineering — 5 citations into it

Whom Seyed Sadegh Mohseni Salehi trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Amos Tversky
4. Tom Fawcett
5. Evan Shelhamer
6. Geoffrey E. Hinton
7. Du Q. Huynh
8. A. Gholipour
9. Karen Simonyan
10. Alex Krizhevsky

Who trusts Seyed Sadegh Mohseni Salehi overall

1. Arvid Lundervold
2. Davood Karimi
3. Michael Yeung
4. Hoel Kervadec
5. Wentao Zhu
6. Septimiu E. Salcudean
7. Shruti Jadon
8. Evis Sala

Papers from Seyed Sadegh Mohseni Salehi's perspective

Ordered by how strongly the researchers Seyed Sadegh Mohseni Salehi 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. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration (2018) — 123 citations
• Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks (2017) — 1,143 citations