D. Electrical

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #5,997 of 21,575 by trust here, #13,815 by citations

Whom D. Electrical trusts overall

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

1. Matthew A. Turk
2. Kah Kay Sung
3. P. Jonathon Phillips
4. Tomaso A. Poggio
5. Alex Pentland
6. Harry Wechsler
7. Hyeonjoon Moon

Who trusts D. Electrical overall

1. Anil K. Jain
2. Bingpeng Ma
3. Haiping Lu
4. Igor Kviatkovsky
5. P. Jonathon Phillips
6. Tong Xiao
7. Wen Zhao
8. Arun A. Ross
9. Ancong Wu
10. Zhenyu Cui

Papers from D. Electrical's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Eigenfaces for Recognition
3. Example-Based Learning for View-Based Human Face Detection
4. Rectified Linear Units Improve Restricted Boltzmann Machines
5. ImageNet Large Scale Visual Recognition Challenge
6. The FERET database and evaluation procedure for face-recognition algorithms
7. The FERET evaluation methodology for face-recognition algorithms
8. A Survey on Transfer Learning
9. PyTorch: An Imperative Style, High-Performance Deep Learning Library
10. Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

Their papers

• Computational and Performance Aspects of PCA-Based Face-Recognition Algorithms (2001) — 577 citations
• Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms (2020) — 372 citations
• sbi: A toolkit for simulation-based inference (2020) — 349 citations