Horea-Bogdan Muresan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 7 citations into it

Whom Horea-Bogdan Muresan trusts overall

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

1. Yann LeCun
2. J. Urgen Schmidhuber
3. Dan Claudiu Ciresan
4. Shaoqing Ren
5. Tony F. Chan
6. Suchet Bargoti
7. Christian Szegedy
8. Geoffrey E. Hinton
9. Kaiming He
10. Rupesh Kumar Srivastava

Who trusts Horea-Bogdan Muresan overall

1. Farhad Shiri
2. Sercan Ö. Arik
3. Thinagaran Perumal
4. Gaurav Kumar Nayak
5. Norwati Mustapha

Papers from Horea-Bogdan Muresan's perspective

Ordered by how strongly the researchers Horea-Bogdan Muresan 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Fruit recognition from images using deep learning (2017) — 440 citations