Hossein Ghanei-Yakhdan

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 501 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 152 citations into it
• Safety, Risk, Reliability and Quality — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Aerospace Engineering — 16 citations into it
• Global and Planetary Change — 11 citations into it

Whom Hossein Ghanei-Yakhdan trusts overall

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

1. Martin Danelljan
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ross B. Girshick
7. Diederik P. Kingma
8. Yoshua Bengio
9. Andrea Vedaldi
10. Yann LeCun

Papers from Hossein Ghanei-Yakhdan's perspective

Ordered by how strongly the researchers Hossein Ghanei-Yakhdan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations
• Deep Learning for Visual Tracking: A Comprehensive Survey (2019) — 361 citations