Sayed Mohammad Ahmad
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 203 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it
- Artificial Intelligence — 15 citations into it
- Radiology, Nuclear Medicine and Imaging — 6 citations into it
Whom Sayed Mohammad Ahmad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Svetlana Lazebnik
- Fabio Alexandre Spanhol
- Chih-Jen Lin
- Li Fei-Fei
- Cordelia Schmid
- Alex Krizhevsky
- Andrew Zisserman
- Geoffrey E. Hinton
- Andrea Vedaldi
- Yann LeCun
Papers from Sayed Mohammad Ahmad's perspective
Ordered by how strongly the researchers Sayed Mohammad Ahmad trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)