Sareh Abolahrari Shirazi

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 3 papers; trusts 157 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #12,833 of 21,575 by trust here, #8,722 by citations
• Artificial Intelligence — 18 citations into it
• Aerospace Engineering — 13 citations into it; #3,461 of 6,421 by trust here, #2,086 by citations
• Representation & Self-Supervised Learning — 7 citations into it
• Media Technology — 5 citations into it; #3,590 of 3,621 by trust here, #2,479 by citations

Whom Sareh Abolahrari Shirazi trusts overall

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

1. Alex Krizhevsky
2. David G. Lowe
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Jeff Donahue
6. Radford M. Neal
7. Yann LeCun
8. Ilya Sutskever
9. Kaiming He
10. Yoshua Bengio

Who trusts Sareh Abolahrari Shirazi overall

1. Niko Sünderhauf
2. Roberto Arroyo
3. Pablo Fernández Alcantarilla
4. Lei Tai
5. Zhiwu Huang
6. Akihiko Torii
7. Tanner Schmidt
8. Chris Linegar

Papers from Sareh Abolahrari Shirazi's perspective

Ordered by how strongly the researchers Sareh Abolahrari Shirazi 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. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• On the performance of ConvNet features for place recognition (2015) — 555 citations
• Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free (2015) — 409 citations
• Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching (2011) — 308 citations