Adrian-Alexandru Tulbure

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 287 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Artificial Intelligence — 25 citations into it
• Model Architectures — 9 citations into it
• Efficiency & Compression — 6 citations into it

Whom Adrian-Alexandru Tulbure trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. David G. Lowe
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Shaoqing Ren
8. Yann LeCun
9. Ilya Sutskever
10. Andrew Zisserman

Papers from Adrian-Alexandru Tulbure's perspective

Ordered by how strongly the researchers Adrian-Alexandru Tulbure 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A review on modern defect detection models using DCNNs – Deep convolutional neural networks (2021) — 309 citations