M. Geetha

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 17 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 7 citations into it

Whom M. Geetha trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Matthew D. Zeiler
5. Yann LeCun
6. Fisher Yu
7. David H. Hubel
8. Yoshua Bengio
9. Rob Fergus
10. Kaiming He

Papers from M. Geetha's perspective

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

Their papers

• A review on deep convolutional neural networks (2017) — 543 citations