Ismail Elezi

Computer Vision and Pattern Recognition · with Leal-Taix'e · 2020

A researcher in the Science corpus: 1 paper; trusts 194 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Generative Models — 14 citations into it
• Artificial Intelligence — 9 citations into it

Whom Ismail Elezi trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Navneet Dalal
5. Kaiming He
6. Yoshua Bengio
7. Yann LeCun
8. Jimmy Ba
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Ismail Elezi's perspective

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

Their papers

• CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks (2020) — 234 citations