M. Saha

Artificial Intelligence · with Chakraborty · 2020

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Model Architectures — 13 citations into it

Whom M. Saha trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Karen Simonyan

Papers from M. Saha's perspective

Ordered by how strongly the researchers M. Saha 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: A large-scale hierarchical image database
3. ImageNet Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Densely Connected Convolutional Networks
7. Rethinking the Inception Architecture for Computer Vision
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Going deeper with convolutions

Their papers

• COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data (2020) — 376 citations