Asifullah Khan

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 4 papers; trusts 512 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 191 citations into it
• Artificial Intelligence — 127 citations into it
• Generative Models — 50 citations into it
• Model Architectures — 50 citations into it
• Signal Processing — 19 citations into it
• Natural Language Processing — 18 citations into it
• Optimization & Training — 15 citations into it
• Media Technology — 14 citations into it

Whom Asifullah Khan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Ross B. Girshick
6. Kaiming He
7. Ilya Sutskever
8. Ruslan Salakhutdinov
9. Diederik P. Kingma
10. Sepp Hochreiter

Who trusts Asifullah Khan overall

1. Tausif Diwan
2. Andre da Silva Abade
3. Lucas Prado Osco
4. Grandhi Sai Anirudh
5. Paulo Ferreira

Papers from Asifullah Khan's perspective

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

Their papers

• A survey of the recent architectures of deep convolutional neural networks (2019) — 2,740 citations
• Wind power prediction using deep neural network based meta regression and transfer learning (2017) — 341 citations
• Recent Progress on Generative Adversarial Networks (GANs): A Survey (2019) — 552 citations
• Raman spectroscopy based analysis of milk using random forest classification (2018) — 73 citations