Davis E. King

Computer Vision and Pattern Recognition · 2009–2015

A researcher in the Science corpus: 2 papers; trusts 161 researchers and is trusted by 273 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #5,465 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 5 citations into it; #942 of 35,345 by trust here, #7,241 by citations

Whom Davis E. King trusts overall

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

1. Chih-Jen Lin
2. Navneet Dalal
3. Thorsten Joachims
4. Xiangxin Zhu
5. Vidit Jain
6. Svetlana Lazebnik
7. Oncel Tuzel
8. Sariel Har-Peled
9. Yaakov Engel
10. Choon Hui Teo

Who trusts Davis E. King overall

1. Joon Son Chung
2. Andrew Zisserman
3. Tadas Baltrusaitis
4. Arsha Nagrani
5. Yotam Nitzan
6. Yuval Nirkin
7. Lele Chen
8. Kimmo Kärkkäinen
9. Yuezun Li
10. James Booth

Papers from Davis E. King's perspective

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

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

Their papers

• Dlib-ml: A Machine Learning Toolkit (2009) — 3,585 citations
• Max-Margin Object Detection (2015) — 181 citations