Mohamed Lamine Mekhalfi

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #13,237 of 21,575 by trust here, #16,367 by citations
• Computational Mechanics — 5 citations into it; #5,852 of 10,001 by trust here, #6,287 by citations

Whom Mohamed Lamine Mekhalfi trusts overall

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

1. Yi Yang
2. Gitta Kutyniok
3. Shawn D. Newsam
4. David L. Donoho
5. Lijun Zhao
6. Navneet Dalal
7. E.J. Candes
8. Ping Tang
9. Yaakov Tsaig
10. Kaiming He

Who trusts Mohamed Lamine Mekhalfi overall

1. Gong Cheng
2. Souleyman Chaib
3. Qi Wang
4. Yanfeng Gu
5. Qiqi Zhu
6. Esam Othman
7. Junwei Han
8. Hongxun Yao
9. Shaoteng Liu
10. Huan Liu

Papers from Mohamed Lamine Mekhalfi's perspective

Ordered by how strongly the researchers Mohamed Lamine Mekhalfi 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. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Histograms of oriented gradients for human detection
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Land-Use Classification With Compressive Sensing Multifeature Fusion (2015) — 75 citations