Venkatesan Rajinikanth
Computer Vision and Pattern Recognition · with Ahuja · 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 Venkatesan Rajinikanth trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
- Ilya Sutskever (in Computer Vision and Pattern Recognition)
Papers from Venkatesan Rajinikanth's perspective
Ordered by how strongly the researchers Venkatesan Rajinikanth trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Et al
- Γ and B
- ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
- Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection (Radiology)
- CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) (Radiology)
- CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
- SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size
Their papers
- Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices (2020) — 313 citations