Volker Blanz

Computer Vision and Pattern Recognition · 1999–2019

A researcher in the Science corpus: 9 papers; trusts 30 researchers and is trusted by 3,290 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 133 citations into it; #619 of 21,575 by trust here, #1,495 by citations
• Computational Mechanics — 37 citations into it
• Computer Graphics and Computer-Aided Design — 18 citations into it
• Control and Systems Engineering — 14 citations into it
• Signal Processing — 13 citations into it; #2,107 of 7,572 by trust here, #3,428 by citations
• Artificial Intelligence — 10 citations into it

Whom Volker Blanz trusts overall

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

1. Thomas Vetter
2. Katherine L. Silversides
3. Vladimir Naumovich Vapni
4. Michael J. Jones
5. Wen Zhao
6. Tomaso A. Poggio
7. Paul A. Viola
8. Athinodoros S. Georghiades
9. Shigeo Abe
10. Robert Martin Haralick

Who trusts Volker Blanz overall

1. Anh Tuan Tran
2. Michael Zollhöfer
3. Tal Hassner
4. Sergey I. Nikolenko
5. Hao Li
6. Ayush Kumar Tewari
7. Michael J. Black
8. Thomas Vetter
9. James Booth
10. Brian Amberg

Papers from Volker Blanz's perspective

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

1. The Nature of Statistical Learning Theory
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. The FERET database and evaluation procedure for face-recognition algorithms
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. An Iterative Image Registration Technique with an Application to Stereo Vision
9. Going deeper with convolutions
10. Face Recognition Based on Fitting a 3D Morphable Model

Their papers

• A Morphable Model For The Synthesis Of 3D Faces (1999)
• Face Recognition Based on Fitting a 3D Morphable Model (2003) — 2,282 citations
• Face identification across different poses and illuminations with a 3D morphable model (2002) — 370 citations
• Reanimating Faces in Images and Video (2003) — 452 citations
• 3D Morphable Face Models—Past, Present, and Future (2019) — 530 citations
• Component-Based Face Recognition with 3D Morphable Models (2003) — 482 citations
• Face recognition based on a 3D morphable model (2006) — 73 citations
• Prototype-referenced shape encoding revealed by high-level aftereffects (2001) — 918 citations
• What Object Attributes Determine Canonical Views? (1999)