Mohammadreza Babaee

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #15,861 of 21,575 by trust here, #16,367 by citations

Whom Mohammadreza Babaee trusts overall

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

1. Sergey Ioffe
2. Chris Stauffer
3. Olivier Barnich
4. Marc Van Droogenbroeck
5. Marc Braham
6. Arthur P. Dempster
7. Ahmed M. Elgammal
8. Pierre-Luc St-Charles
9. Martin Hofmann
10. Kyungnam Kim

Who trusts Mohammadreza Babaee overall

1. Thierry Bouwmans
2. Muhamad Risqi U. Saputra
3. L. Dang
4. Andrew Markham
5. Sajid Javed
6. Sara Beery
7. Kyungbok Min
8. Paul Voigtlaender

Papers from Mohammadreza Babaee's perspective

Ordered by how strongly the researchers Mohammadreza Babaee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Going deeper with convolutions
5. Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Background Subtraction (Encyclopedia of Biometrics)
8. ViBe: A Universal Background Subtraction Algorithm for Video Sequences (IEEE Transactions on Image Processing)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Deep Convolutional Neural Network for Background Subtraction (2017) — 88 citations
• A deep convolutional neural network for video sequence background subtraction (2018) — 381 citations