Jin Chen

Computer Vision and Pattern Recognition · with Kramer · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #13,996 of 21,575 by trust here, #16,367 by citations
• Molecular Biology — 7 citations into it

Whom Jin Chen trusts overall

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

1. Iain Matthews

Who trusts Jin Chen overall

1. Massimo Minervini
2. Jean-Michel Pape

Papers from Jin Chen's perspective

Ordered by how strongly the researchers Jin Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. The FERET evaluation methodology for face-recognition algorithms
2. Active Appearance Models Revisited (International Journal of Computer Vision)
3. Chlorophyll fluorescence: a probe of photosynthesis in vivo. (Annual Review of Plant Biology)
4. Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
5. Phenomics: the next challenge (Nature reviews genetics)
6. Annotated Image Datasets of Rosette Plants
7. Multi-leaf tracking from fluorescence plant videos
8. Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]
9. A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
10. Finely-grained annotated datasets for image-based plant phenotyping

Their papers

• Multi-modality imagery database for plant phenotyping (2016) — 71 citations
• Multi-leaf tracking from fluorescence plant videos (2014) — 53 citations