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We found 232 hits for your search of 'c'"'.
  1. Anna Kukleva

    /departments/computer-vision-and-machine-learning/people/anna-kukleva

    11116/0000-000F-1644-C %R 10.1109/CVPR52733.2024.02490 %D 2024 %B 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition %Z date of event: 2024-06-17 - 2024-06-21 %C Seattle, WA, USA %B IEEE/CVF [...] http://hdl.handle.net/21.11116/0000-000F-C61E-1 %R 10.22028/D291-42679 %U urn:nbn:de:bsz:291--ds-426798 %F OTHER: hdl:20.500.11880/38297 %I Universität des Saarlandes %C Saarbrücken %D 2024 %P XIII, [...] net/21.11116/0000-000C-73A9-4 %R 10.1007/s11263-022-01723-4 %7 2022 %D 2023 %J International Journal of Computer Vision %O Int. J. Comput. Vis. %V 131 %& 626 %P 626 - 643 %I Springer %C New York, NY %@ false

  2. Anurag Das

    /departments/computer-vision-and-machine-learning/people/anurag-das

    handle.net/21.11116/0000-000C-6D3C-8 %R 10.1109/WACV56688.2023.00592 %D 2023 %B IEEE Winter Conference on Applications of Computer Vision %Z date of event: 2023-01-03 - 2023-01-07 %C Waikoloa Village, HI, USA [...] eng %U http://hdl.handle.net/21.11116/0000-000F-D86C-5 %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 %I [...] %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, Aleš ; Ricci, Elisa; Roth, Stefan;

  3. Approximation Algorithms for Profi t-maximizing Pricing Problems

    /news/spotlight-articles/optimization/approximation-algorithms-for-profi-t-maximizing-pricing-problems

    doors, etc. Each consumer C declares her budget B c , and once the prices are declared, among all the items in the consideration set S c , the cheapest one with price at most B c is purchased. Consideration [...] d-dimensional Euclidean space, and the consideration set S c of consumer C is the set of itempoints that dominate the point corresponding to C in every attribute; see the figure below. Examples of attributes [...] restriction. In particular, instead of looking at a full generality where each consumer C considers any set of items S c , it is reasonable to assume that each consumer has some criterion in mind for each

  4. Apratim Bhattacharyya

    /departments/computer-vision-and-machine-learning/people/alumni-and-former-members/apratim-bhattacharyya

    eng %U http://hdl.handle.net/21.11116/0000-0005-553C-9 %D 2019 %B 4th Workshop on Bayesian Deep Learning %Z date of event: 2019-12-13 - 2019-12-13 %C Vancouver, Canada %B Bayesian Deep Learning NeurIPS [...] date of event: 2019-05-06 - 2019-05-09 %C New Orleans, LA, USA %B International Conference on Learning Representations %U https://openreview.net/forum?id=rkgK3oC5Fm PuRe BibTeX fulltext version 9 Paper [...] 002C-26B1-A %U https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17280/16540 %D 2018 %B Thirty-Second AAAI Conference on Artificial Intelligence %Z date of event: 2018-02-02 - 2018-02-07 %C New

  5. Artificial Intelligence aided Design and Manufacturing

    /departments/computer-graphics/research/artificial-intelligence-aided-design-and-manufacturing

    image processing or machine learning. Solid skills in mathematics and related programming languages (C++ / Python / OpenGL) are also required. Please send your application or any inquiry to Dr. Vahid Babaei

  6. Ascent

    /ascent

    Ascent Ascent Advanced Semantics for Commonsense Knowledge Extraction Ascent ( A dvanced S emantics for C ommons e nse K n owledge Ex t raction) is a pipeline for automatically collecting, extracting and c

  7. Ascent++

    /ascentpp

    ranking by typicality and saliency scores. For high coverage, our method taps into the large-scale crawl C4 with broad web contents. The evaluation with human judgements shows the superior quality of the ASCENT++

  8. At the Institute

    /services/international-office/international-office-restricted/at-the-institute

    For binding papers, please use a special thermal binding machine located on the 1st floor, room 115C. It is easy to handle. Smoking is not allowed anywhere in our buildings. Even a small amount of smoke

  9. Automated Reasoning

    /departments/automation-of-logic/teaching/winter-20162017/automated-reasoning

    Hall HS001, Building E1 3 When & Where The course takes place every Tuesday, 14 - 16 (c.t.) and Thursday, 14 - 16 (c.t.) in lecture hall HS001, Building E1 3 . Registration Register here for this course

  10. Automated Reasoning

    /departments/automation-of-logic/teaching/winter-2022/2023/automated-reasoning

    16:00 - 18:00 (s.t.) and Thursdays, 14:00 - 16:00 (c.t.) Where Room 002, Building E1 5 Please note, the room has changed! Tutorials Fridays 10:00 - 12:00 (c.t.) Room 024, Building E1 4 Registration See below