Chiranjibi Sitaula

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 223 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Artificial Intelligence — 17 citations into it
• Radiology, Nuclear Medicine and Imaging — 10 citations into it
• Model Architectures — 8 citations into it
• Infectious Diseases — 5 citations into it

Whom Chiranjibi Sitaula trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. François Chollet
5. Geoffrey E. Hinton
6. Navneet Dalal
7. Christian Szegedy
8. Andrew Zisserman
9. Ilya Sutskever
10. Individualized Treat

Papers from Chiranjibi Sitaula's perspective

Ordered by how strongly the researchers Chiranjibi Sitaula 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Attention-based VGG-16 model for COVID-19 chest X-ray image classification (2020) — 308 citations