M. Golparvar-Fard

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Aerospace Engineering — 5 citations into it

Whom M. Golparvar-Fard trusts overall

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

1. David Nistér
2. Noah Snavely
3. Matthew A. Brown
4. Anders Heyden
5. David G. Lowe
6. Sunil Arya
7. Michael Goesele
8. Marc Pollefeys
9. S. M. Seitz

Who trusts M. Golparvar-Fard overall

1. Hung-Lin Chi
2. Shih-Chung Jessy Kang

Papers from M. Golparvar-Fard's perspective

Ordered by how strongly the researchers M. Golparvar-Fard 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. Gradient-based learning applied to document recognition
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Detection, classification, and mapping of U.S. traffic signs using google street view images for roadway inventory management (2015)
• Evaluation of image-based modeling and laser scanning accuracy for emerging automated performance monitoring techniques (2011) — 414 citations