María Vanrell

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #11,874 of 21,575 by trust here, #10,677 by citations

Whom María Vanrell trusts overall

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

1. Neil D. B. Bruce
2. Hae Jong Seo
3. Tilke Judd
4. Lingyun Zhang

Who trusts María Vanrell overall

1. Ming-Ming Cheng
2. Ali Borji
3. Tam V. Nguyen
4. Shigang Wang
5. Mengnan Du
6. Congyan Lang

Papers from María Vanrell's perspective

Ordered by how strongly the researchers María Vanrell 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. Histograms of oriented gradients for human detection
4. Object Detection with Discriminatively Trained Part Based Models
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Color attributes for object detection (2012) — 321 citations
• Saliency estimation using a non-parametric low-level vision model (2011) — 374 citations