Imran Naseem

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #9,016 of 21,575 by trust here, #16,787 by citations

Whom Imran Naseem trusts overall

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

1. Ming-Hsuan Yang
2. David Ruppert
3. Peter N. Belhumeur
4. Matthew A. Turk
5. Jen-Tzung Chien
6. David J. Kriegman
7. Athinodoros S. Georghiades
8. Kuang-chih Lee
9. Xudong Jiang
10. Jian Yang

Who trusts Imran Naseem overall

1. Ran He
2. Arnout Devos
3. Jian Yang
4. Julien Mairal
5. Munawar Hayat
6. Weishi Zheng
7. Mohamed Loey
8. Zheng Zhang
9. Ali Cheraghian
10. Matthias Grossglauser

Papers from Imran Naseem's perspective

Ordered by how strongly the researchers Imran Naseem 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. Gradient-based learning applied to document recognition
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Linear Regression for Face Recognition (2010) — 1,012 citations