Zeshan Hussain

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 19 citations into it; #15,190 of 35,345 by trust here, #11,192 by citations
• Generative Models — 7 citations into it

Whom Zeshan Hussain trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Karen Simonyan
7. Jost Tobias Springenberg
8. Diederik P. Kingma
9. Ilya Sutskever
10. Benjamin Graham

Who trusts Zeshan Hussain overall

1. Ekin Dogus Cubuk
2. Khaled Alomar
3. Barret Zoph
4. Raphael Gontijo Lopes
5. Halil Ibrahim Aysel
6. Alex Hernandez-Garcia
7. Han-Jia Ye

Papers from Zeshan Hussain's perspective

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

Their papers

• Learning to Compose Domain-Specific Transformations for Data Augmentation (2017) — 367 citations
• Differential Data Augmentation Techniques for Medical Imaging Classification Tasks (2017) — 366 citations