Sidike Paheding

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 87 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 36 citations into it
• Radiology, Nuclear Medicine and Imaging — 29 citations into it
• Neurology — 9 citations into it
• Biomedical Engineering — 6 citations into it

Whom Sidike Paheding trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Md. Zahangir Alom
6. Tom Fawcett
7. David Martin Ward Powers
8. Ross B. Girshick
9. Evan Shelhamer
10. Yoshua Bengio

Papers from Sidike Paheding's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications (2020) — 1,569 citations