Arthur Philip Cracknell
Computer Vision and Pattern Recognition · 2006–2016
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it
- Media Technology — 10 citations into it
- Ecology — 8 citations into it; #8,388 of 10,717 by trust here, #8,686 by citations
- Artificial Intelligence — 7 citations into it
- Environmental Engineering — 6 citations into it; #4,670 of 5,479 by trust here, #3,797 by citations
- Atmospheric Science — 5 citations into it
Whom Arthur Philip Cracknell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Arthur Philip Cracknell overall
Papers from Arthur Philip Cracknell's perspective
Ordered by how strongly the researchers Arthur Philip Cracknell trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Random Forests
- Multi-column deep neural networks for image classification
- Textural Features for Image Classification
- Joint Deep Learning for Pedestrian Detection
- Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks (IEEE Geoscience and Remote Sensing Letters)
- Deep Learning Face Representation from Predicting 10,000 Classes
- A convolutional neural network cascade for face detection
- Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration
- Deep Learning-Based Classification of Hyperspectral Data
Their papers
- Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images (2016) — 399 citations
- Use of UK-DMC 2 and ALOS PALSAR for studying the age of oil palm trees in southern peninsular Malaysia (2013) — 82 citations
- Long‐range persistence in global Aerosol Index dynamics (2006) — 137 citations