Mohammad Hajizadeh Saffar

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 216 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #19,080 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 14 citations into it
• Model Architectures — 9 citations into it

Whom Mohammad Hajizadeh Saffar trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yann LeCun
5. Kaiming He
6. Evan Shelhamer
7. Karen Simonyan
8. Yoshua Bengio
9. Ilya Sutskever
10. Jeff Donahue

Who trusts Mohammad Hajizadeh Saffar overall

1. Fahad Lateef
2. Mennatullah Siam
3. Yassine Ruichek
4. Xizhou Zhu
5. Sara Elkerdawy

Papers from Mohammad Hajizadeh Saffar's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• STFCN: Spatio-Temporal FCN for Semantic Video Segmentation (2016) — 57 citations