Andeep S. Toor

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 9 citations into it

Whom Andeep S. Toor trusts overall

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

1. Karen Simonyan
2. Oriol Vinyals
3. Andrew Zisserman
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Donald Geman
7. Ilya Sutskever
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Kaiming He

Papers from Andeep S. Toor's perspective

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

Their papers

• Question Part Relevance and Editing for Cooperative and Context-Aware VQA (C2VQA) (2017) — 12 citations