Tarun Sharma

Computer Vision and Pattern Recognition · with Eberhardt · 2017

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 9 citations into it

Whom Tarun Sharma trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman
3. Matthew D. Zeiler
4. Geoffrey E. Hinton
5. Kaiming He
6. Rob Fergus
7. Alex Krizhevsky
8. Jia Deng
9. Yann LeCun
10. Yoshua Bengio

Papers from Tarun Sharma's perspective

Ordered by how strongly the researchers Tarun Sharma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet Large Scale Visual Recognition Challenge
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Microsoft COCO: Common Objects in Context
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• What are the Visual Features Underlying Human Versus Machine Vision? (2017) — 52 citations