Tony P. Pridmore

Computer Vision and Pattern Recognition · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it
• Plant Science — 27 citations into it
• Genetics — 10 citations into it

Whom Tony P. Pridmore trusts overall

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

1. Fabio Fiorani
2. Mark Stitt

Papers from Tony P. Pridmore's perspective

Ordered by how strongly the researchers Tony P. Pridmore 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. ImageNet Large Scale Visual Recognition Challenge
4. Histograms of oriented gradients for human detection
5. Object Detection with Discriminatively Trained Part Based Models
6. Learning a similarity metric discriminatively, with application to face verification
7. "GrabCut": interactive foreground extraction using iterated graph cuts
8. Online dictionary learning for sparse coding
9. Snakes: Active contour models
10. Recurrent Instance Segmentation

Their papers

• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• Plant Phenomics, From Sensors to Knowledge. (2017) — 482 citations
• Deep machine learning provides state-of-the-art performance in image-based plant phenotyping (2016) — 365 citations
• Colocalization of fluorescent markers in confocal microscope images of plant cells (2008) — 366 citations