Saba Dadsetan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Media Technology — 24 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 10 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Saba Dadsetan trusts overall

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

1. Alex Krizhevsky
2. Ilya Sutskever
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Kaiming He
6. A. Bovik
7. Yoshua Bengio
8. Yann LeCun
9. Kede Ma
10. Jimmy Ba

Who trusts Saba Dadsetan overall

1. Weixia Zhang

Papers from Saba Dadsetan's perspective

Ordered by how strongly the researchers Saba Dadsetan 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency (2021) — 429 citations