Anna K. Jerebko

Computer Vision and Pattern Recognition · 2009–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it

Whom Anna K. Jerebko trusts

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

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Anna K. Jerebko's perspective

Ordered by how strongly the researchers Anna K. Jerebko 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. ImageNet Large Scale Visual Recognition Challenge
5. ImageNet classification with deep convolutional neural networks
6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Supervised learning from multiple experts: whom to trust when everyone lies a bit (2009) — 391 citations
• 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes (2017) — 158 citations