Search

We found 232 hits for your search of 'c'"'.
  1. Gaze-Based Human-Computer Interaction

    /departments/computer-vision-and-machine-learning/research/gaze-based-human-computer-interaction

    four recording sessions in a mobile setting. We show that InvisibleEye achieves a top person-speci c gaze estimation accuracy of 1.79° using four cameras with a resolution of only 5 × 5 pixels. Our evaluations

  2. Generative Models of 3D People

    /departments/computer-vision-and-machine-learning/research/generative-models-of-3d-people

    [3]. (Right) Virtual try-on: a) Scan of a subject wearing clothes; b) image with a new body shape; c) estimated new body shape and pose; d) new body wearing the captured clothes. NOTE: For more information

  3. Gerard Pons-Moll

    /departments/computer-vision-and-machine-learning/people/gerard-pons-moll

    2024-03-21 %C Davos, Switzerland %B 3DV 2024 %P 903 - 913 %I IEEE Computer Society %@ 979-8-3503-6245-9 DOI PuRe BibTeX 5 Article D2 D6 R. Yunus, J. E. Lenssen, M. Niemeyer, Y. Liao, C. Rupprecht, C. Theobalt [...] net/21.11116/0000-000E-B1C4-C %R 10.1109/CVPR52733.2024.01950 %D 2024 %B 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition %Z date of event: 2024-06-17 - 2024-06-21 %C Seattle, WA, USA %B [...] http://hdl.handle.net/21.11116/0000-000C-2A8C-8 %R 10.1007/978-3-031-20086-1_9 %D 2022 %B 17th European Conference on Computer Vision %Z date of event: 2022-10-23 - 2022-10-27 %C Tel Aviv, Israel %B Computer Vision

  4. Gründungsprojekt des Max-Planck-Instituts für Informatik erhält Hauptpreis im Gründerwettbewerb "IKT Innovativ"

    /news/press-release-articles/2013/gruendungsprojekt-des-max-planck-instituts-fuer-informatik-erhaelt-hauptpreis-im-gruenderwettbewerb-ikt-innovativ

    g unter: www.uni-saarland.de/pressefotos Weitere Informationen: A. Elhayek, C. Stoll, N. Hasler, K. I. Kim, H.-P. Seidel, C. Theobalt Spatio-temporal Motion Tracking with Unsynchronized Cameras, IEEE

  5. HIGGINS

    /departments/databases-and-information-systems/research/yago-naga/higgins

    CSV HTML Movie Cast Random Set CSV HTML Book Plots Random Set CSV HTML Book Cast Random Set CSV HTML C. Comparison of Higgins Components Format: (<question id> , <movie/book title> , <entity one> , <entity

  6. HTML Test Page

    /services/dev/html-test-page

    notations: e x , sin 2 x , and some nested superscripts (exponents) too: e x 2 and f(x) g(x) a+b+c (where 2 and a+b+c should appear as exponents of exponents). text in monospace font ( tt markup used) underlined [...] text ( font color=red markup used) Origin of Species (a book title; cite markup used) a[i] = b[i] + c[i); (computer code; code markup used) here we have some deleted text ( del markup used) an octet is

  7. Haiyang Wang

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/haiyang-wang

    %D 2024 %B 18th European Conference on Computer Vision %Z date of event: 2024-09-29 - 2024-10-04 %C Milano, Italy %B Computer Vision -- ECCV 2024 %E Leondardis, Ale&#353; ; Ricci, Elisa; Roth, Stefan;

  8. Haoran Wang

    /departments/computer-vision-and-machine-learning/people/haoran-wang

    code will be available at github.com/JoyHuYY1412/PersonaHOI 2024 2 Paper D2 D6 H. Wang, M. Mendiratta, C. Theobalt, and A. Kortylewski “FaceGPT: Self-supervised Learning to Chat about 3D Human Faces,” 2024

  9. Hosnieh Sattar

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/hosnieh-sattar

    http://hdl.handle.net/21.11116/0000-0006-977C-5 %R 10.1016/j.neucom.2020.01.028 %7 2020 %D 2020 %J Neurocomputing %V 387 %& 369 %P 369 - 382 %I Elsevier %C Amsterdam %@ false DOI PuRe BibTeX 2019 3 Conference [...] net/11858/00-001M-0000-0025-01C3-4 %R 10.1109/CVPR.2015.7298700 %D 2015 %B IEEE Conference on Computer Vision and Pattern Recognition %Z date of event: 2015-06-08 - 2015-06-10 %C Boston, MA, USA %B IEEE Conference [...] 1 %D 2021 %B 16th European Conference on Compute Vision %Z date of event: 2020-08-23 - 2020-08-28 %C Glasgow, UK %X Modern approaches to pose and body shape estimation have recently achieved<br>strong

  10. Human Pose and Shape Estimation from Images and Video

    /departments/computer-vision-and-machine-learning/research/3d-reconstruction-and-perception-of-people/human-pose-and-shape-estimation-from-images-and-video

    Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation M. Omran, C. Lassner,, G. Pons-Moll, P. Gehler and B. Schiele 3DV 2018 , International Conference on 3D Vision, [...] Estimation from Monocular RGB D. Mehta, O. Sotnychenko, F. Mueller, W. Xu, S. Sridhar, G. Pons-Moll and C. Theobalt 3DV 2018 , International Conference on 3D Vision, 2018 [3] In the Wild Human Pose Estimation