Hema A. Murthy

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 66 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #18,961 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 23 citations into it; #30,752 of 35,345 by trust here, #17,776 by citations
• Radiology, Nuclear Medicine and Imaging — 11 citations into it; #2,470 of 3,265 by trust here, #1,861 by citations

Whom Hema A. Murthy trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Yann LeCun
7. Tomas Mikolov
8. Kaiming He
9. Xavier Glorot
10. Jimmy Ba

Who trusts Hema A. Murthy overall

1. Sanjay Chawla
2. Raghavendra Chalapathy

Papers from Hema A. Murthy's perspective

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

Their papers

• A Generative Model for Zero Shot Learning Using Conditional Variational Autoencoders (2017) — 328 citations
• The Blizzard Challenge 2013 - Indian Language Task (2013) — 39 citations