Sakshi Ahuja

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Sakshi Ahuja trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Ilya Sutskever
6. Xingyi Yang
7. Kaiming He
8. Xiaosong Wang
9. KC Santosh
10. Yoshua Bengio

Who trusts Sakshi Ahuja overall

1. Gonçalo Marques
2. Muhammet Fatih Aslan
3. Deevyankar Agarwal

Papers from Sakshi Ahuja's perspective

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

Their papers

• Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices (2020) — 313 citations