J. Cheney

Computer Vision and Pattern Recognition · with Grother · 2015–2018

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

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #19,631 of 21,575 by trust here, #7,249 by citations

Whom J. Cheney trusts

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

1. Paul A. Viola (in Computer Vision and Pattern Recognition)
2. Michael J. Jones (in Computer Vision and Pattern Recognition)

Who trusts J. Cheney

1. Ramalingam Chellappa (in Computer Vision and Pattern Recognition)
2. Joy Buolamwini (in Computer Vision and Pattern Recognition)

Papers from J. Cheney's perspective

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

1. Robust Real-Time Face Detection
2. Attribute and simile classifiers for face verification
3. Learning Face Representation from Scratch
4. Deep Face Recognition
5. Face recognition in unconstrained videos with matched background similarity
6. Face Detection without Bells and Whistles
7. Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A
8. The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
9. Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection
10. WIDER FACE: A Face Detection Benchmark

Their papers

• Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A (2015) — 720 citations
• IARPA Janus Benchmark - C: Face Dataset and Protocol (2018) — 701 citations