Ahmed BenHamida
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it
Whom Ahmed BenHamida trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
- Ilya Sutskever (in Computer Vision and Pattern Recognition)
Papers from Ahmed BenHamida's perspective
Ordered by how strongly the researchers Ahmed BenHamida 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)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Improving neural networks by preventing co-adaptation of feature detectors
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions