Werner Stuetzle

Computer Vision and Pattern Recognition · 1981–2009

A researcher in the Science corpus: 8 papers; trusts 121 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 104 citations into it
• Media Technology — 39 citations into it
• Artificial Intelligence — 28 citations into it
• Evaluation & Benchmarks — 14 citations into it
• Statistics and Probability — 10 citations into it; #2,113 of 12,932 by trust here, #1,382 by citations
• Model Architectures — 7 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it
• Optimization & Training — 5 citations into it; #1,137 of 2,601 by trust here, #2,081 by citations

Whom Werner Stuetzle trusts overall

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

1. Leo Breiman
2. Jerome H. Friedman
3. W. Hoeffding
4. Tong Zhang
5. M. Stone
6. Emanuel Parzen
7. Peter Hall
8. Peter Buhlmann
9. Alex Krizhevsky
10. Kaiming He

Who trusts Werner Stuetzle overall

1. Jianqing Fan
2. Francis R. Bach
3. Yoshua Bengio
4. M. A. Carreira-Perpiñán
5. Jerome H. Friedman
6. Kenji Fukumizu
7. Jean D. Opsomer
8. Balaji Lakshminarayanan
9. Trevor J. Hastie
10. Sethu Vijayakumar

Papers from Werner Stuetzle's perspective

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

Their papers

• Surface light fields for 3D photography (2000) — 559 citations
• Using labeled data to evaluate change detectors in a multivariate streaming environment (2009) — 2,818 citations
• Capturing tree crown formation through implicit surface reconstruction using airborne lidar data (2009) — 214 citations
• OBSERVATIONS ON BAGGING (2006) — 104 citations
• Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications (2005) — 321 citations
• Surface reconstruction from unorganized points (1992)
• PROJECTION PURSUIT DENSITY ESTIMATION (1984)
• Projection Pursuit Regression (1981)