Alireza Bab-Hadiashar

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 99 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it
• Aerospace Engineering — 37 citations into it
• Geology — 11 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Alireza Bab-Hadiashar trusts overall

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

1. David G. Lowe
2. David Nistér
3. Sebastian Thrun
4. Radu Bogdan Rusu
5. Tim Bailey
6. Geir Evensen
7. Michael Montemerlo
8. Peter Henry
9. Krystian Mikolajczyk
10. Davide Scaramuzza

Papers from Alireza Bab-Hadiashar's perspective

Ordered by how strongly the researchers Alireza Bab-Hadiashar trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Distinctive Image Features from Scale-Invariant Keypoints
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• An Overview to Visual Odometry and Visual SLAM: Applications to Mobile Robotics (2015) — 308 citations