Rahil Garnavi

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #18,315 of 21,575 by trust here, #10,677 by citations
• Artificial Intelligence — 18 citations into it; #29,811 of 35,345 by trust here, #12,761 by citations
• Evaluation & Benchmarks — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 6 citations into it

Whom Rahil Garnavi trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Walter J. Scheirer
4. Martin Thoma
5. Geoffrey E. Hinton
6. Kaiming He
7. Abhijit Bendale

Who trusts Rahil Garnavi overall

1. Vishal M. Patel
2. Poojan Oza

Papers from Rahil Garnavi's perspective

Ordered by how strongly the researchers Rahil Garnavi 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. ImageNet: A large-scale hierarchical image database
4. ImageNet Large Scale Visual Recognition Challenge
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Generative OpenMax for Multi-Class Open Set Classification (2017) — 469 citations
• Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images (2017) — 142 citations
• Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis (2017) — 96 citations
• Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images (2015) — 379 citations