Farzad Khalvati

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Farzad Khalvati trusts overall

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

1. Chih-Jen Lin
2. Alex Krizhevsky
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Pascal Vincent

Papers from Farzad Khalvati's perspective

Ordered by how strongly the researchers Farzad Khalvati 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Extracting and composing robust features with denoising autoencoders
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Autoencoding the retrieval relevance of medical images (2015) — 41 citations