Ciprian Stirbu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 19 citations into it

Whom Ciprian Stirbu trusts overall

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

1. Kaiming He
2. Ross B. Girshick

Papers from Ciprian Stirbu's perspective

Ordered by how strongly the researchers Ciprian Stirbu 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. GENERATIVE ADVERSARIAL NETS
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Microsoft COCO: Common Objects in Context
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning From Demonstration in the Wild (2018) — 77 citations