Mohammad Hesam Hesamian

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 31 citations into it

Whom Mohammad Hesam Hesamian trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Christian Szegedy
5. Matthew D. Zeiler
6. Nitish Srivastava
7. Yoshua Bengio
8. Karen Simonyan
9. Yann LeCun
10. Ross B. Girshick

Who trusts Mohammad Hesam Hesamian overall

1. Adnan Qayyum
2. Nima Tajbakhsh
3. Junaid Qadir

Papers from Mohammad Hesam Hesamian's perspective

Ordered by how strongly the researchers Mohammad Hesam Hesamian 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges (2019) — 1,522 citations