Mona Fathollahi Ghezelghieh

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 107 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 8 citations into it

Whom Mona Fathollahi Ghezelghieh trusts overall

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

1. João Carreira
2. Alex Krizhevsky
3. Andrea Vedaldi
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Jia Deng
7. Karen Simonyan
8. Yann LeCun
9. Sijin Li
10. Andrew Zisserman

Who trusts Mona Fathollahi Ghezelghieh overall

1. Georgios Pavlakos
2. Julieta Martinez
3. Xiaowei Zhou
4. Rayat Hossain
5. Javier Romero
6. Carl Doersch

Papers from Mona Fathollahi Ghezelghieh's perspective

Ordered by how strongly the researchers Mona Fathollahi Ghezelghieh 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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

• Learning Camera Viewpoint Using CNN to Improve 3D Body Pose Estimation (2016) — 57 citations