Souleyman Chaib

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 237 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #10,672 of 21,575 by trust here, #15,955 by citations
• Media Technology — 29 citations into it; #1,477 of 3,621 by trust here, #2,280 by citations
• Artificial Intelligence — 6 citations into it
• Remote Sensing — 6 citations into it
• Ocean Engineering — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Souleyman Chaib trusts overall

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

1. Gong Cheng
2. Geoffrey E. Hinton
3. Anil M. Cheriyadat
4. Andrew Zisserman
5. Alex Krizhevsky
6. Josef Sivic
7. Karen Simonyan
8. Fan Zhang
9. David G. Lowe
10. Svetlana Lazebnik

Who trusts Souleyman Chaib overall

1. Gong Cheng
2. Qi Wang
3. Junwei Han
4. Wei Zhang
5. Shaoteng Liu
6. Jocelyn Chanussot
7. Ping Tang
8. Xuelong Li
9. Lei Guo
10. Xingxing Xie

Papers from Souleyman Chaib's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Feature Fusion for VHR Remote Sensing Scene Classification (2017) — 419 citations
• An Informative Feature Selection Method Based on Sparse PCA for VHR Scene Classification (2016) — 29 citations