Tareq Abed Mohammed

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #17,303 of 21,575 by trust here, #16,367 by citations

Whom Tareq Abed Mohammed trusts overall

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

1. Vincent Dumoulin

Who trusts Tareq Abed Mohammed overall

1. Jaeyong Kang
2. Sabeen Ahmed
3. Qian Li

Papers from Tareq Abed Mohammed's perspective

Ordered by how strongly the researchers Tareq Abed Mohammed trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Understanding of a convolutional neural network (2017) — 3,297 citations