Sepehr Valipour

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Sepehr Valipour trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman
3. Ken Chatfield
4. Paulo Ricardo Lisboa de Almeida
5. Alex Krizhevsky
6. Andrea Vedaldi
7. Geoffrey E. Hinton
8. Christian Szegedy
9. Ilya Sutskever
10. Kaiming He

Papers from Sepehr Valipour's perspective

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

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

Their papers

• Parking-stall vacancy indicator system, based on deep convolutional neural networks (2016) — 86 citations