Mohammadreza Mostajabi

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 3 papers; trusts 364 researchers and is trusted by 678 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 79 citations into it; #1,643 of 21,575 by trust here, #4,926 by citations
• Artificial Intelligence — 34 citations into it
• Media Technology — 12 citations into it
• Model Architectures — 9 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Mohammadreza Mostajabi trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Kaiming He
6. Ross B. Girshick
7. Ilya Sutskever
8. Yann LeCun
9. Andrea Vedaldi
10. Diederik P. Kingma

Who trusts Mohammadreza Mostajabi overall

1. Liang-Chieh Chen
2. Golnaz Ghiasi
3. George Papandreou
4. Seunghoon Hong
5. Guosheng Lin
6. Chunhua Shen
7. Alan L. Yuille
8. Ping Luo
9. Jifeng Dai
10. Subhransu Maji

Papers from Mohammadreza Mostajabi's perspective

Ordered by how strongly the researchers Mohammadreza Mostajabi 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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

• Feedforward semantic segmentation with zoom-out features (2014) — 484 citations
• Scaling Out-of-Distribution Detection for Real-World Settings (2022) — 690 citations
• DIODE: A Dense Indoor and Outdoor DEpth Dataset (2019) — 365 citations