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Daniel Cremers

Prof. Dr.

19992024

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  • 2020

    Lifting methods for manifold-valued variational problems

    Vogt, T., Strekalovskiy, E., Cremers, D. & Lellmann, J., 3 Apr. 2020, Handbook of Variational Methods for Nonlinear Geometric Data. Springer International Publishing, S. 95-119 25 S.

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    4 Zitate (Scopus)

  • On the well-posedness of uncalibrated photometric stereo under general lighting

    Brahimi, M., Quéau, Y., Haefner, B. & Cremers, D., 2020, Advances in Computer Vision and Pattern Recognition. Springer Science and Business Media Deutschland GmbH, S. 147-176 30 S. (Advances in Computer Vision and Pattern Recognition).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    Open Access
    6 Zitate (Scopus)

  • q-Space Novelty Detection with Variational Autoencoders

    Vasilev, A., Golkov, V., Meissner, M., Lipp, I., Sgarlata, E., Tomassini, V., Jones, D. K. & Cremers, D., 2020, Mathematics and Visualization. Springer Science and Business Media Deutschland GmbH, S. 113-124 12 S. (Mathematics and Visualization).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    Open Access
    18 Zitate (Scopus)

  • TUM Flyers: Vision—Based MAV Navigation for Systematic Inspection of Structures

    Usenko, V., von Stumberg, L., Stückler, J. & Cremers, D., 2020, Springer Tracts in Advanced Robotics. Springer, S. 189-209 21 S. (Springer Tracts in Advanced Robotics; Band 136).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    2 Zitate (Scopus)
  • 2019

    A review and quantitative evaluation of direct visual-inertial odometry

    Von Stumberg, L., Usenko, V. & Cremers, D., 1 Jan. 2019, Multimodal Scene Understanding: Algorithms, Applications and Deep Learning. Elsevier, S. 159-198 40 S.

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    5 Zitate (Scopus)
  • 2018

    Image denoising—Old and new

    Moeller, M. & Cremers, D., 2018, Advances in Computer Vision and Pattern Recognition. Springer London, S. 63-91 29 S. (Advances in Computer Vision and Pattern Recognition).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    3 Zitate (Scopus)

  • Partial Single- and Multishape Dense Correspondence Using Functional Maps

    Litany, O., Rodolà, E., Bronstein, A., Bronstein, M. & Cremers, D., 2018, Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1. Kimmel, R. & Tai, X.-C. (Hrsg.). Elsevier B.V., S. 55-90 36 S. (Handbook of Numerical Analysis; Band 19).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    1 Zitat (Scopus)
  • 2016

    Applying random forests to the problem of dense non-rigid shape correspondence

    Vestner, M., Rodolà, E., Windheuser, T., Bulò, S. R. & Cremers, D., 2016, Visualization in Medicine and Life Sciences III - Towards Making an Impact. Linsen, L., Hege, H.-C. & Hamann, B. (Hrsg.). Springer Heidelberg, S. 231-248 18 S. (Mathematics and Visualization).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

  • Collision avoidance for quadrotors with a monocular camera

    Alvarez, H., Paz, L. M., Sturm, J. & Cremers, D., 2016, Springer Tracts in Advanced Robotics. Springer Verlag, S. 195-209 15 S. (Springer Tracts in Advanced Robotics; Band 109).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    58 Zitate (Scopus)
  • 2015

    Image segmentation with shape priors: Explicit versus implicit representations

    Cremers, D., 1 Jan. 2015, Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. Springer New York, S. 1909-1944 36 S.

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    4 Zitate (Scopus)

  • q-space deep learning for twelve-fold shorter and model-free diffusion MRI scans

    Golkov, V., Dosovitskiy, A., Sämann, P., Sperl, J. I., Sprenger, T., Czisch, M., Menzel, M. I., Gómez, P. A., Haase, A., Brox, T. & Cremers, D., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, S. 37-44 8 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9349).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    Open Access
    14 Zitate (Scopus)
  • 2013

    A sequential Monte Carlo method for multi-target tracking with the intensity filter

    Schikora, M., Koch, W., Streit, R. & Cremers, D., 2013, Advances in Intelligent Signal Processing and Data Mining: Theory and Applications. Springer Verlag, S. 55-87 33 S. (Studies in Computational Intelligence; Band 410).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    15 Zitate (Scopus)
  • 2006

    Integral invariants and shape matching

    Manay, S., Cremers, D., Hong, B. W., Yezzi, A. & Soatto, S., 2006, Modeling and Simulation in Science, Engineering and Technology. 9780817643768 Aufl. Springer Basel, S. 137-166 30 S. (Modeling and Simulation in Science, Engineering and Technology; Nr. 9780817643768).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    11 Zitate (Scopus)

  • Probabilistic kernel PCA and its application to statistical modeling and inference

    Cremers, D. & Kohlberger, T., 2006, Kernel Methods in Bioengineering, Signal and Image Processing. IGI Global, S. 346-373 28 S.

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    1 Zitat (Scopus)

  • Variational segmentation with shape priors

    Bergtholdh, M., Cremers, D. & Schurr, C., 2006, Handbook of Mathematical Models in Computer Vision. Springer US, S. 131-143 13 S.

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

  • 2004

    Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: teaching level sets to walk

    Cremers, D., Osher, S. J. & Soatto, S., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Rasmussen, C. E., Bulthoff, H. H., Scholkopf, B. & Giese, M. A. (Hrsg.). Springer Verlag, S. 36-44 9 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 3175).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    46 Zitate (Scopus)

  • Multiphase dynamic labeling for variational recognition-driven image segmentation

    Cremers, D., Sochen, N. & Schnörr, C., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Pajdla, T. & Matas, J. (Hrsg.). Springer Verlag, S. 74-86 13 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 3024).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    22 Zitate (Scopus)
  • 2003

    A generative model based approach to motion segmentation

    Cremers, D. & Yuille, A., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Michaelis, B. & Krell, G. (Hrsg.). Springer Verlag, S. 313-320 8 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 2781).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    8 Zitate (Scopus)

  • A multiphase level set framework for motion segmentation

    Cremers, D., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Griffin, L. D. & Lillholm, M. (Hrsg.). Springer Verlag, S. 599-614 16 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 2695).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    41 Zitate (Scopus)

  • Towards recognition-based variational segmentation using shape priors and dynamic labeling

    Cremers, D., Sochen, N. & Schnörr, C., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Griffin, L. D. & Lillholm, M. (Hrsg.). Springer Verlag, S. 388-400 13 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 2695).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Kapitel › Begutachtung

    112 Zitate (Scopus)