Seyed Mojtaba Marvasti-Zadeh

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 501 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 152 citations into it
• Safety, Risk, Reliability and Quality — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Aerospace Engineering — 16 citations into it
• Global and Planetary Change — 11 citations into it

Whom Seyed Mojtaba Marvasti-Zadeh trusts overall

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

1. Martin Danelljan
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ross B. Girshick
7. Andrea Vedaldi
8. Diederik P. Kingma
9. Yoshua Bengio
10. Andrew Zisserman

Papers from Seyed Mojtaba Marvasti-Zadeh's perspective

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

Their papers

• The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations
• Deep Learning for Visual Tracking: A Comprehensive Survey (2019) — 361 citations