Elena Prokofyeva

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #13,933 of 21,575 by trust here, #18,266 by citations
• Radiology, Nuclear Medicine and Imaging — 24 citations into it; #1,523 of 3,265 by trust here, #2,754 by citations
• Ophthalmology — 23 citations into it; #81 of 222 by trust here, #156 by citations

Whom Elena Prokofyeva trusts overall

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

1. Michael David Abràmoff
2. Yuri Boykov
3. Philipp Krahenbuhl
4. Thorsten Joachims
5. Isabelle M Guyon
6. Ana Maria Mendonça
7. Sanjiv Kumar
8. John D. Lafferty
9. Nikos Komodakis
10. Attila Budai

Who trusts Elena Prokofyeva overall

1. Zengqiang Yan
2. Xin Yang

Papers from Elena Prokofyeva's perspective

Ordered by how strongly the researchers Elena Prokofyeva 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

Their papers

• A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images (2017) — 471 citations