Ali Mohammad Pazandeh

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 364 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #21,301 of 21,575 by trust here, #9,563 by citations
• Artificial Intelligence — 18 citations into it; #34,924 of 35,345 by trust here, #13,962 by citations

Whom Ali Mohammad Pazandeh trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Ross B. Girshick
4. Andrew Zisserman
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Yann LeCun
9. Yoshua Bengio
10. Jitendra Malik

Who trusts Ali Mohammad Pazandeh overall

1. Fang Wan
2. Yi Zhu
3. Shuyang Sun

Papers from Ali Mohammad Pazandeh's perspective

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

Their papers

• Weakly Supervised Cascaded Convolutional Networks (2016) — 312 citations
• Efficient Two-Stream Motion and Appearance 3D CNNs for Video Classification (2016) — 77 citations