Christian Plagemann

Computer Vision and Pattern Recognition · 2006–2012

A researcher in the Science corpus: 7 papers; trusts 17 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #5,227 of 21,575 by trust here, #6,671 by citations
• Reinforcement Learning — 14 citations into it
• Artificial Intelligence — 12 citations into it; #11,003 of 35,345 by trust here, #17,412 by citations
• Control and Systems Engineering — 8 citations into it; #1,676 of 8,257 by trust here, #1,139 by citations

Whom Christian Plagemann trusts overall

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

1. Richard S. Sutton
2. Christopher K. I. Williams
3. Martin A. Riedmiller
4. A. G. Ramm
5. Carl E. Rasmussen
6. Rémi Coulom
7. Ronald Poppe
8. David G. Lowe
9. Yaakov Engel
10. Christopher G. Atkeson

Who trusts Christian Plagemann overall

1. Meng Ding
2. Fei Han
3. Varun Ganapathi
4. Jamie Shotton
5. Brian Holt
6. Jonathan Ko
7. Dieter Fox
8. Ross B. Girshick
9. Min Jiang
10. Guoliang Fan

Papers from Christian Plagemann's perspective

Ordered by how strongly the researchers Christian Plagemann 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. Reinforcement Learning: An Introduction
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Real time motion capture using a single time-of-flight camera (2010) — 425 citations
• Real-time identification and localization of body parts from depth images (2010) — 339 citations
• Real-Time Human Pose Tracking from Range Data (2012) — 166 citations
• Most likely heteroscedastic Gaussian process regression (2007) — 413 citations
• Learning Relational Navigation Policies (2006) — 36 citations
• Autonomous blimp control using model-free reinforcement learning in a continuous state and action space (2007) — 43 citations
• A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving (2010) — 75 citations