Manoranjan Paul

Artificial Intelligence · 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 Manoranjan Paul trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Karen Simonyan
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Jonathan Munro
7. Andrew Zisserman
8. Jia Deng
9. Ross B. Girshick
10. Yoshua Bengio

Papers from Manoranjan Paul's perspective

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

Their papers

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