Mohammad Saeed Abrishami
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 65 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it; #11,615 of 21,575 by trust here, #17,757 by citations
- Artificial Intelligence — 9 citations into it
- Generative Models — 5 citations into it
- Model Architectures — 5 citations into it
Whom Mohammad Saeed Abrishami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Kaiming He
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Andrew Zisserman
- Xavier Glorot
- Nitish Srivastava
Who trusts Mohammad Saeed Abrishami overall
Papers from Mohammad Saeed Abrishami's perspective
Ordered by how strongly the researchers Mohammad Saeed Abrishami 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions