Patrick Grother

Computer Vision and Pattern Recognition · 1995–2019

A researcher in the Science corpus: 13 papers; trusts 162 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 71 citations into it; #5,080 of 21,575 by trust here, #2,373 by citations
• Signal Processing — 30 citations into it; #4,040 of 7,572 by trust here, #1,170 by citations
• Evaluation & Benchmarks — 14 citations into it; #883 of 3,147 by trust here, #1,856 by citations
• Artificial Intelligence — 10 citations into it
• Information Systems — 7 citations into it; #5,491 of 8,771 by trust here, #6,770 by citations
• Model Architectures — 5 citations into it

Whom Patrick Grother trusts overall

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

1. Kaiming He
2. Deepayan Sarkar
3. Florian Schroff
4. Gary B. Huang
5. Karen Simonyan
6. X. Zhang
7. Andrew Zisserman
8. Shaoqing Ren
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Patrick Grother overall

1. Dan Claudiu Ciresan
2. Gregory Cohen
3. Ueli Meier
4. J. Urgen Schmidhuber
5. Curtis G. Northcutt
6. Erik G. Miller
7. David Marco Sommer
8. Saeed Afshar
9. Eric Granger
10. Stepan Alekseevich Komkov

Papers from Patrick Grother's perspective

Ordered by how strongly the researchers Patrick Grother 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. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A (2015) — 720 citations
• The humanID gait challenge problem: data sets, performance, and analysis (2005) — 1,255 citations
• Ongoing face recognition vendor test (FRVT) part 2: (2018) — 109 citations
• Face recognition vendor test 2002 (2003) — 421 citations
• Face Recognition Vendor Test (FRVT) Performance of Face Identification Algorithms NIST IR 8009 (2014) — 155 citations
• Performance of Biometric Quality Measures (2007) — 359 citations
• Face Recognition Vendor Test (FRVT) part 2 :: identification (2019) — 85 citations
• IARPA Janus Benchmark - C: Face Dataset and Protocol (2018) — 701 citations
• Face Recognition Vendor Test (FRVT) - Performance of Automated Gender Classification Algorithms (2015) — 69 citations
• Face Recognition Vendor Test (FRVT) - Performance of Automated Age Estimation Algorithms (2014) — 23 citations
• Report on the Evaluation of 2D Still-Image Face Recognition Algorithms (2011) — 212 citations
• Image Formation Process (2009) — 1,815 citations
• NIST Special Database 19 Handprinted Forms and Characters Database (1995)