Vijay Kumar

Artificial Intelligence · with Kaur · 2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Vijay Kumar trusts overall

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

1. Alex Krizhevsky
2. Jingqiao Zhang
3. Geoffrey E. Hinton
4. Steve Lawrence
5. François Chollet
6. Kyong Hwan Jin
7. Ilya Sutskever

Who trusts Vijay Kumar overall

1. Ali Narin

Papers from Vijay Kumar's perspective

Ordered by how strongly the researchers Vijay Kumar 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. Densely Connected Convolutional Networks
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays (2020) — 319 citations
• Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning (2020) — 523 citations
• Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks (2020) — 529 citations