Alina Zare

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 7 citations into it

Whom Alina Zare trusts overall

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

1. Jose M. P. Nascimento
2. Kaiming He
3. Radford M. Neal
4. Philip E. Dennison

Who trusts Alina Zare overall

1. Genping Zhao

Papers from Alina Zare's perspective

Ordered by how strongly the researchers Alina Zare 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. Selective Search for Object Recognition
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks (2019) — 318 citations
• Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing (2014) — 365 citations