J. Priest

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it

Whom J. Priest trusts

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

1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from J. Priest's perspective

Ordered by how strongly the researchers J. Priest 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. Learning Multiple Layers of Features from Tiny Images
3. Long Short-Term Memory
4. Densely Connected Convolutional Networks
5. Training Products of Experts by Minimizing Contrastive Divergence
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
8. Long-term recurrent convolutional networks for visual recognition and description
9. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
10. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

Their papers

• Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources (2018) — 616 citations
• Weakly supervised classification of rare aortic valve malformations using unlabeled cardiac MRI sequences (2018) — 20 citations
• Sequence to Medical Phenotypes: A Framework for Interpretation of Human Whole Genome DNA Sequence Data (2015) — 23 citations