Kumar Ayush

Computer Vision and Pattern Recognition · with Babu · 2015

A researcher in the Science corpus: 1 paper; trusts 185 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #10,325 of 21,575 by trust here, #14,151 by citations
• Cognitive Neuroscience — 13 citations into it; #3,909 of 10,852 by trust here, #6,526 by citations
• Sensory Systems — 11 citations into it
• Artificial Intelligence — 8 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Kumar Ayush trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Ilya Sutskever
6. Christian Szegedy
7. Kaiming He
8. Laurent Itti
9. Yoshua Bengio
10. Yann LeCun

Who trusts Kumar Ayush overall

1. Wenguan Wang
2. Marcella Cornia
3. Matthias Kümmerer
4. Jianbing Shen
5. Junting Pan

Papers from Kumar Ayush's perspective

Ordered by how strongly the researchers Kumar Ayush 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations (2015) — 512 citations