Hamid Izadinia

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 4 papers; trusts 662 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 88 citations into it; #3,378 of 21,575 by trust here, #10,334 by citations
• Artificial Intelligence — 23 citations into it; #8,889 of 35,345 by trust here, #17,776 by citations
• Evaluation & Benchmarks — 13 citations into it
• Aerospace Engineering — 12 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Media Technology — 7 citations into it
• 3D Vision & Pose — 5 citations into it

Whom Hamid Izadinia trusts overall

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

1. David G. Lowe
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Antonio Torralba
5. Kaiming He
6. Ross B. Girshick
7. Karen Simonyan
8. Andrew Zisserman
9. Alexei A. Efros
10. Derek Hoiem

Who trusts Hamid Izadinia overall

1. Chen Sun
2. Vignesh Ramanathan
3. Ramkant Nevatia
4. Fereshteh Sadeghi
5. Basura Fernando
6. Xiaojun Chang
7. Arash Vahdat
8. Li Fei-Fei
9. Heng Tao Shen
10. Armand Joulin

Papers from Hamid Izadinia's perspective

Ordered by how strongly the researchers Hamid Izadinia 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Classifiers from Image Tags in the Wild (2015) — 63 citations
• Incorporating Scene Context and Object Layout into Appearance Modeling (2014) — 47 citations
• Recognizing Complex Events Using Large Margin Joint Low-Level Event Model (2012) — 121 citations
• IM2CAD (2016) — 215 citations