H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 9,234 71 World Ranking 8418 National Ranking 412

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His main research concerns Algorithm, Mathematical optimization, Optical flow, Flow and Artificial intelligence. His biological study spans a wide range of topics, including Digital image processing, Image compression, JPEG 2000 and Interpolation. Andrés Bruhn combines subjects such as Motion estimation and Image warping with his study of Mathematical optimization.

His biological study deals with issues like Energy functional, which deal with fields such as Robustness, Brightness constancy and Optical flow estimation. His research investigates the link between Optical flow and topics such as Multigrid method that cross with problems in Iterative method. His work in Artificial intelligence addresses subjects such as Computer vision, which are connected to disciplines such as Computer graphics.

His most cited work include:

  • High Accuracy Optical Flow Estimation Based on a Theory for Warping (2068 citations)
  • Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods (975 citations)
  • Highly Accurate Optic Flow Computation with Theoretically Justified Warping (360 citations)

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

Algorithm, Optical flow, Artificial intelligence, Computer vision and Mathematical optimization are his primary areas of study. The various areas that Andrés Bruhn examines in his Algorithm study include Flow, Smoothing, Image processing, Optical flow computation and Partial differential equation. His studies in Optical flow integrate themes in fields like Motion estimation, Ground truth, Energy functional and Benchmark.

His research integrates issues of Iterative method and Image warping in his study of Motion estimation. When carried out as part of a general Computer vision research project, his work on JPEG, Anisotropic diffusion and Image compression is frequently linked to work in Initialization, therefore connecting diverse disciplines of study. His Mathematical optimization research is multidisciplinary, incorporating elements of Embedding, Smoothness, Variational model, Photometric stereo and Robustness.

He most often published in these fields:

  • Algorithm (41.67%)
  • Optical flow (39.58%)
  • Artificial intelligence (35.42%)

What were the highlights of his more recent work (between 2016-2021)?

  • Optical flow (39.58%)
  • Artificial intelligence (35.42%)
  • Benchmark (12.50%)

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

His primary scientific interests are in Optical flow, Artificial intelligence, Benchmark, Motion interpolation and Ground truth. His Optical flow research is multidisciplinary, relying on both Flow, Algorithm and Applied mathematics. The various areas that Andrés Bruhn examines in his Flow study include Feature, Affine transformation, Motion estimation, Smoothness and Mathematical optimization.

His Algorithm study combines topics in areas such as Invariant, Image scaling, Brightness constancy and Confidence measures. His research in Artificial intelligence intersects with topics in Machine learning and Computer vision. In most of his Computer vision studies, his work intersects topics such as Robustness.

Between 2016 and 2021, his most popular works were:

  • ProFlow: Learning to Predict Optical Flow (24 citations)
  • Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo (12 citations)
  • Order-Adaptive and Illumination-Aware Variational Optical Flow Refinement. (8 citations)

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

  • Artificial intelligence
  • Computer vision
  • Algorithm

Andrés Bruhn mostly deals with Optical flow, Artificial intelligence, Computer vision, Benchmark and Topology. The concepts of his Optical flow study are interwoven with issues in Machine learning, Convolutional neural network and Leverage. His Artificial intelligence study combines topics from a wide range of disciplines, such as Shading and Variational method.

Computer vision connects with themes related to Robustness in his study. His Benchmark study incorporates themes from Algorithm, Metric, Image scaling and Ground truth. He merges many fields, such as Topology and Order, in his writings.

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

High Accuracy Optical Flow Estimation Based on a Theory for Warping

Thomas Brox;Andr ´ es Bruhn;Nils Papenberg;Joachim Weickert.
european conference on computer vision (2004)

2931 Citations

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

Highly Accurate Optic Flow Computation with Theoretically Justified Warping

Nils Papenberg;Andrés Bruhn;Thomas Brox;Stephan Didas.
International Journal of Computer Vision (2006)

571 Citations

Optic Flow in Harmony

Henning Zimmer;Andrés Bruhn;Joachim Weickert.
International Journal of Computer Vision (2011)

278 Citations

Variational optical flow computation in real time

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

236 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

Towards ultimate motion estimation: combining highest accuracy with real-time performance

A. Bruhn;J. Weickert.
international conference on computer vision (2005)

182 Citations

Image Compression with Anisotropic Diffusion

Irena Galić;Joachim Weickert;Martin Welk;Andrés Bruhn.
Journal of Mathematical Imaging and Vision (2008)

166 Citations

Complementary Optic Flow

Henning Zimmer;Andrés Bruhn;Joachim Weickert;Levi Valgaerts.
energy minimization methods in computer vision and pattern recognition (2009)

163 Citations

Lightweight binocular facial performance capture under uncontrolled lighting

Levi Valgaerts;Chenglei Wu;Andrés Bruhn;Hans-Peter Seidel.
international conference on computer graphics and interactive techniques (2012)

162 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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