Mohammad Jahanbakht

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Electrical and Electronic Engineering — 9 citations into it
• Model Architectures — 8 citations into it
• Ocean Engineering — 8 citations into it

Whom Mohammad Jahanbakht trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Kaiming He
4. Charu C. Aggarwal
5. Yoshua Bengio
6. Christian Szegedy
7. Alex Krizhevsky
8. Richard Socher
9. Jonas Adler
10. Hemani Kaushal

Papers from Mohammad Jahanbakht's perspective

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

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

Their papers

• Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey (2020) — 361 citations