Stefan Popov

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 738 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 112 citations into it; #7,116 of 21,575 by trust here, #4,344 by citations
• Artificial Intelligence — 39 citations into it; #27,689 of 35,345 by trust here, #25,809 by citations
• Evaluation & Benchmarks — 25 citations into it
• Model Architectures — 9 citations into it
• Aerospace Engineering — 6 citations into it

Whom Stefan Popov trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Christian Szegedy
6. Ilya Sutskever
7. Shaoqing Ren
8. Yann LeCun
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Stefan Popov overall

1. Qin Liu
2. Konstantin Sofiiuk
3. Jordi Pont-Tuset
4. Bowen Cheng
5. Hao Yang
6. Jasper R. R. Uijlings
7. Bharat Singh
8. Theodora Kontogianni
9. Christopher Xie
10. Wonpyo Park

Papers from Stefan Popov's perspective

Ordered by how strongly the researchers Stefan Popov 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• The Open Images Dataset V4 (2018) — 1,627 citations
• Large-Scale Interactive Object Segmentation With Human Annotators (2019) — 260 citations
• Revisiting Knowledge Transfer for Training Object Class Detectors (2017) — 73 citations