Walter Wohlkinger

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #6,635 of 21,575 by trust here, #11,083 by citations
• Aerospace Engineering — 25 citations into it; #828 of 6,421 by trust here, #1,890 by citations
• Geology — 14 citations into it; #111 of 687 by trust here, #281 by citations
• Computational Mechanics — 9 citations into it
• Artificial Intelligence — 8 citations into it
• 3D Vision & Pose — 6 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Walter Wohlkinger trusts overall

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

1. Dekang Lin
2. Radu Bogdan Rusu
3. Federico Tombari
4. Robert Osada
5. Thomas A. Funkhouser
6. M. Kazhdan
7. Antonio Torralba
8. Daniel Scharstein
9. Samuele Salti
10. Kevin Lai

Who trusts Walter Wohlkinger overall

1. Marcus Gualtieri
2. Andreas ten Pas
3. Jeffrey Mahler
4. Giseop Kim
5. Li He
6. Priyanka Mandikal
7. Dmytro Bobkov
8. Samuele Salti
9. Robert W. Platt
10. Daniel Kappler

Papers from Walter Wohlkinger's perspective

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

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

Their papers

• 3DNet: Large-scale object class recognition from CAD models (2012) — 178 citations
• Ensemble of shape functions for 3D object classification (2011) — 405 citations
• Hobbit, a care robot supporting independent living at home: First prototype and lessons learned (2016) — 334 citations
• Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation (2012) — 385 citations