Modhammad-R. Akbarzadeh-T.

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #17,536 of 21,575 by trust here, #20,756 by citations

Whom Modhammad-R. Akbarzadeh-T. trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton

Who trusts Modhammad-R. Akbarzadeh-T. overall

1. Cynthia Rudin
2. Alina Jade Barnett

Papers from Modhammad-R. Akbarzadeh-T.'s perspective

Ordered by how strongly the researchers Modhammad-R. Akbarzadeh-T. trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Caffe: Convolutional Architecture for Fast Feature Embedding
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Learning representations by back-propagating errors
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Efficient implementation of a generalized convolutional neural networks based on weighted euclidean distance (2017) — 15 citations