Ahmad Pesaranghader

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Ahmad Pesaranghader trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Andrew Zisserman
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. Scott E. Reed
10. Ross B. Girshick

Papers from Ahmad Pesaranghader's perspective

Ordered by how strongly the researchers Ahmad Pesaranghader 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. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Microsoft COCO: Common Objects in Context
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dual Adversarial Inference for Text-to-Image Synthesis (2019) — 40 citations