Abderrahim Elmoataz

Computer Vision and Pattern Recognition · 2008–2012

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #11,280 of 21,575 by trust here, #12,992 by citations
• Computational Mechanics — 8 citations into it; #4,830 of 10,001 by trust here, #4,937 by citations
• Computational Theory and Mathematics — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Geometry and Topology — 5 citations into it

Whom Abderrahim Elmoataz trusts overall

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

1. Gabriel Taubin
2. Stanley J. Osher
3. Mikhail Belkin
4. Tony F. Chan
5. Matthias Hein
6. Sergios Theodoridis
7. Ulrich Pinkall
8. Alain Bensoussan
9. Joel Friedman
10. A. Buades

Who trusts Abderrahim Elmoataz overall

1. Stamatios Lefkimmiatis
2. G. Peyr'e
3. G. Yu
4. Xiaoqun Zhang
5. David K. Hammond
6. David I. Shuman
7. Guillermo Sapiro
8. Sébastien Bougleux
9. Martin Burger
10. Karthik Raoaroor

Papers from Abderrahim Elmoataz's perspective

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

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

Their papers

• Multiscale Convolutional Neural Networks for Vision-Based Classification of Cells (2012) — 51 citations
• Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing (2008) — 506 citations