Alexandru-Lucian Gînsca

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 337 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 36 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Model Architectures — 12 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Alexandru-Lucian Gînsca trusts overall

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

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

Papers from Alexandru-Lucian Gînsca's perspective

Ordered by how strongly the researchers Alexandru-Lucian Gînsca 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Learning Prototypes for Visual Relationship Detection (2018) — 7 citations
• Harnessing noisy Web images for deep representation (2017) — 13 citations