Zaid Khan
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 167 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it; #20,447 of 21,575 by trust here, #20,756 by citations
- Artificial Intelligence — 9 citations into it; #33,500 of 35,345 by trust here, #33,294 by citations
- Safety, Robustness & Interpretability — 8 citations into it
- Signal Processing — 6 citations into it
Whom Zaid Khan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Leslie N. Smith
- Antonio Torralba
- Jia Deng
- Andrew Zisserman
- Joy Buolamwini
- Geoffrey E. Hinton
- Jeremy Howard
- Alex Krizhevsky
- Sebastian Benthall
Who trusts Zaid Khan overall
Papers from Zaid Khan's perspective
Ordered by how strongly the researchers Zaid Khan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge