Elena Arabadzhiyska

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Elena Arabadzhiyska trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Alexey Dosovitskiy
5. Andrew Zisserman
6. Jeff Donahue
7. Anna Bosch
8. Yangqing Jia
9. Evan Shelhamer
10. Kaiming He

Who trusts Elena Arabadzhiyska overall

1. Nantheera Anantrasirichai

Papers from Elena Arabadzhiyska's perspective

Ordered by how strongly the researchers Elena Arabadzhiyska 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. Gradient-based learning applied to document recognition
4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Deep Shading: Convolutional Neural Networks for Screen Space Shading (2016) — 175 citations