Sharon Alpert

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it; #8,556 of 21,575 by trust here, #10,500 by citations

Whom Sharon Alpert trusts overall

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

1. Patrik O. Hoyer
2. Jitendra Malik
3. Jianbo Shi
4. Pedro F. Felzenszwalb
5. Stuart Geman
6. Luc M. Vincent
7. Yi Ma
8. Dan Huttenlocher
9. Donald Geman
10. David R. Martin

Who trusts Sharon Alpert overall

1. João Carreira
2. Guanbin Li
3. Ran Margolin
4. Cristian Sminchisescu
5. Vida Movahedi
6. Huchuan Lu
7. Xi Li
8. Pablo Arbeláez
9. Ali Borji
10. Na Tong

Papers from Sharon Alpert's perspective

Ordered by how strongly the researchers Sharon Alpert 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration (2007) — 621 citations