Jonathan Brandt

Computer Vision and Pattern Recognition · 2005–2016

A researcher in the Science corpus: 7 papers; trusts 378 researchers and is trusted by 1,437 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it; #1,084 of 21,575 by trust here, #2,055 by citations
• Artificial Intelligence — 36 citations into it; #5,534 of 35,345 by trust here, #16,771 by citations
• Model Architectures — 9 citations into it; #1,189 of 2,278 by trust here, #708 by citations
• Aerospace Engineering — 7 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Jonathan Brandt trusts overall

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

1. Paul A. Viola
2. David G. Lowe
3. Robert E. Schapire
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Yann LeCun
7. Yoshua Bengio
8. Karen Simonyan
9. Pedro F. Felzenszwalb
10. Ross B. Girshick

Who trusts Jonathan Brandt overall

1. Wanli Ouyang
2. Zhaowei Cai
3. Piotr Doll'ar
4. Tadas Baltrusaitis
5. Adrian Bulat
6. Jitendra Malik
7. Junjie Yan
8. Xiaogang Wang
9. Ping Luo
10. Stefanos P. Zafeiriou

Papers from Jonathan Brandt's perspective

Ordered by how strongly the researchers Jonathan Brandt 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A convolutional neural network cascade for face detection (2015) — 1,329 citations
• Top-Down Neural Attention by Excitation Backprop (2016) — 1,058 citations
• Interactive Facial Feature Localization (2012) — 1,008 citations
• Robust object detection via soft cascade (2005) — 388 citations
• Probabilistic Elastic Matching for Pose Variant Face Verification (2013) — 228 citations
• Exemplar-Based Face Parsing (2013) — 113 citations
• DeepFont: Identify Your Font from An Image (2015) — 136 citations