Informatics 9 - Chair of Computer Vision and Artificial Intelligence

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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, p. 95-119 25 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    5 Scopus citations
  • 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, p. 147-176 30 p. (Advances in Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
    6 Scopus citations
  • 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, p. 113-124 12 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
    21 Scopus citations
  • 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, p. 189-209 21 p. (Springer Tracts in Advanced Robotics; vol. 136).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    2 Scopus citations
  • 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, p. 159-198 40 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    5 Scopus citations
  • 2018

    Image denoising—Old and new

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

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    3 Scopus citations
  • 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. (eds.). Elsevier B.V., p. 55-90 36 p. (Handbook of Numerical Analysis; vol. 19).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    1 Scopus citations
  • 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. (eds.). Springer Heidelberg, p. 231-248 18 p. (Mathematics and Visualization).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  • 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, p. 195-209 15 p. (Springer Tracts in Advanced Robotics; vol. 109).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    60 Scopus citations
  • 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, p. 1909-1944 36 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    5 Scopus citations
  • 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, p. 37-44 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9349).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    Open Access
    14 Scopus citations
  • 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, p. 55-87 33 p. (Studies in Computational Intelligence; vol. 410).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    15 Scopus citations