H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 49 Citations 10,120 201 World Ranking 3013 National Ranking 134

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mathematical analysis
  • Statistics

Christoph Schnörr spends much of his time researching Artificial intelligence, Pattern recognition, Algorithm, Mathematical optimization and Segmentation. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Computer vision. In his study, Segmentation-based object categorization, Cluster analysis, Spectral clustering, Ambient space and Dimension is inextricably linked to Linear subspace, which falls within the broad field of Pattern recognition.

The various areas that Christoph Schnörr examines in his Algorithm study include Image processing, Quadratic equation, Multigrid method, Discretization and Optical flow. His Mathematical optimization study incorporates themes from Tomographic reconstruction, Convex optimization, Regular polygon, Range and Computation. His research in Segmentation intersects with topics in Function and Image.

His most cited work include:

  • Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods (975 citations)
  • Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional (295 citations)
  • A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion (267 citations)

What are the main themes of his work throughout his whole career to date?

Christoph Schnörr focuses on Algorithm, Artificial intelligence, Mathematical optimization, Segmentation and Computer vision. His Algorithm research is multidisciplinary, incorporating elements of Image processing, Flow, Optical flow and Regular polygon. His research on Artificial intelligence often connects related topics like Pattern recognition.

His research integrates issues of Smoothing, Graphical model, Applied mathematics and Convex optimization in his study of Mathematical optimization. His Nonlinear system research extends to the thematically linked field of Segmentation. His study in the fields of Object under the domain of Computer vision overlaps with other disciplines such as Particle image velocimetry.

He most often published in these fields:

  • Algorithm (40.57%)
  • Artificial intelligence (29.87%)
  • Mathematical optimization (28.30%)

What were the highlights of his more recent work (between 2014-2021)?

  • Algorithm (40.57%)
  • Artificial intelligence (29.87%)
  • Mathematical optimization (28.30%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Algorithm, Artificial intelligence, Mathematical optimization, Flow and Manifold. The study incorporates disciplines such as Regular polygon, Convex optimization, Graphical model and Numerical integration in addition to Algorithm. His work deals with themes such as Filter, Computer vision and Pattern recognition, which intersect with Artificial intelligence.

His Pattern recognition research incorporates themes from Image processing and Feature. His research integrates issues of Probabilistic logic, Image segmentation and Applied mathematics in his study of Mathematical optimization. His work in Flow addresses subjects such as Basis, which are connected to disciplines such as Dynamical system and Krylov subspace.

Between 2014 and 2021, his most popular works were:

  • A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems (140 citations)
  • Image Labeling by Assignment (37 citations)
  • Higher-order segmentation via multicuts (26 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Mathematical analysis
  • Algorithm

Christoph Schnörr mainly investigates Algorithm, Artificial intelligence, Regular polygon, Manifold and Flow. His Algorithm study combines topics in areas such as Numerical integration, Segmentation, Metric space and Graphical model. His work on Image segmentation is typically connected to Data structure as part of general Segmentation study, connecting several disciplines of science.

His research in Image segmentation intersects with topics in Range, Discrete optimization, Mathematical optimization and Rounding. His Artificial intelligence research includes elements of Computer vision and Pattern recognition. His Manifold study incorporates themes from Point, Vector space and Image.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods

Andrés Bruhn;Joachim Weickert;Christoph Schnörr.
International Journal of Computer Vision (2005)

1690 Citations

Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional

Daniel Cremers;Florian Tischhäuser;Joachim Weickert;Christoph Schnörr.
International Journal of Computer Vision (2002)

459 Citations

A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion

Joachim Weickert;Christoph Schnörr.
International Journal of Computer Vision (2001)

419 Citations

Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint

Joachim Weickert;Christoph Schnörr.
Journal of Mathematical Imaging and Vision (2001)

368 Citations

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems

Jorg H. Kappes;Bjoern Andres;Fred A. Hamprecht;Christoph Schnorr.
computer vision and pattern recognition (2013)

339 Citations

Shape statistics in kernel space for variational image segmentation

Daniel Cremers;Timo Kohlberger;Christoph Schnörr.
Pattern Recognition (2003)

325 Citations

Combined SVM-Based Feature Selection and Classification

Julia Neumann;Christoph Schnörr;Gabriele Steidl.
Machine Learning (2005)

286 Citations

Variational optical flow computation in real time

A. Bruhn;J. Weickert;C. Feddern;T. Kohlberger.
IEEE Transactions on Image Processing (2005)

236 Citations

Nonlinear Shape Statistics in Mumford-Shah Based Segmentation

Daniel Cremers;Timo Kohlberger;Christoph Schnörr.
european conference on computer vision (2002)

227 Citations

A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods

Andrés Bruhn;Joachim Weickert;Timo Kohlberger;Christoph Schnörr.
International Journal of Computer Vision (2006)

218 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Christoph Schnörr

Daniel Cremers

Daniel Cremers

Technical University of Munich

Publications: 92

Joachim Weickert

Joachim Weickert

Saarland University

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Nikos Paragios

Nikos Paragios

École Centrale Paris

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Xue-Cheng Tai

Xue-Cheng Tai

Hong Kong Baptist University

Publications: 37

Thomas Brox

Thomas Brox

University of Freiburg

Publications: 35

Gabriele Steidl

Gabriele Steidl

Technical University of Berlin

Publications: 35

Andrés Bruhn

Andrés Bruhn

University of Stuttgart

Publications: 34

Thomas Pock

Thomas Pock

Graz University of Technology

Publications: 28

Carsten Rother

Carsten Rother

Heidelberg University

Publications: 24

Horst Bischof

Horst Bischof

Graz University of Technology

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Martin Rumpf

Martin Rumpf

University of Bonn

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Anthony Yezzi

Anthony Yezzi

Georgia Institute of Technology

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Bodo Rosenhahn

Bodo Rosenhahn

University of Hannover

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Stefano Soatto

Stefano Soatto

University of California, Los Angeles

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Yuri Boykov

Yuri Boykov

University of Waterloo

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