Subrato Bharati

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 6 citations into it

Whom Subrato Bharati trusts overall

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

1. Evan Shelhamer
2. Wentao Zhu
3. Xiaosong Wang
4. Jonathan Long
5. Jeremy Irvin
6. Kaiming He
7. Trevor Darrell
8. Arnaud Arindra Adiyoso Setio
9. Chaochun Liu
10. Geoffrey E. Hinton

Papers from Subrato Bharati's perspective

Ordered by how strongly the researchers Subrato Bharati 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Attention is All you Need (Neural Information Processing Systems)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Hybrid deep learning for detecting lung diseases from X-ray images (2020) — 397 citations