Muhammad Majid

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #16,825 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 34 citations into it; #27,414 of 35,345 by trust here, #25,809 by citations
• Media Technology — 9 citations into it

Whom Muhammad Majid trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yann LeCun
5. Ilya Sutskever
6. Nitish Srivastava
7. Ruslan Salakhutdinov
8. Xavier Glorot
9. Kaiming He
10. Diederik P. Kingma

Who trusts Muhammad Majid overall

1. Adnan Qayyum
2. Shiv Ram Dubey

Papers from Muhammad Majid's perspective

Ordered by how strongly the researchers Muhammad Majid 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Medical Image Analysis using Convolutional Neural Networks: A Review (2017) — 1,280 citations
• Medical image retrieval using deep convolutional neural network (2017) — 400 citations