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  1. Christopher Wewer

    /departments/computer-vision-and-machine-learning/people/christopher-wewer

    date of event: 2024-09-30 - 2024-09-30 %C Milan, Italy %B ECCV 2024 Workshop on Wild 3D %I OpenReview.net PuRe BibTeX fulltext version 2023 4 Conference paper D2 C. Wewer, E. Ilg, B. Schiele, and J. E. Lenssen [...] handle.net/21.11116/0000-000D-C95E-8 %R 10.1109/ICCV51070.2023.00812 %D 2023 %B IEEE/CVF International Conference on Computer Vision %Z date of event: 2023-10-02 - 2023-10-06 %C Paris, France %B IEEE/CVF [...] 9325 2121 Fax +49 681 9325 2099 E-mail cwewer@mpi-inf.mpg.de Publications 2025 1 Paper D2 M. Asim, C. Wewer, T. Wimmer, B. Schiele, and J. E. Lenssen “MEt3R: Measuring Multi-View Consistency in Generated

  2. Clothing: Estimating 3D Humans in Clothing from Images and Videos.

    /departments/computer-vision-and-machine-learning/research/3d-reconstruction-and-perception-of-people/clothing-estimating-3d-humans-in-clothing-from-images-and-videos

    W. Xu, C. Theobalt and G. Pons-Moll IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) [2] Detailed Human Avatars from Monocular Video T. Alldieck, M. A. Magnor, W. Xu, C. Theobalt [...] Reconstruct People in Clothing from a Single RGB Camera T. Alldieck, M. A. Magnor, B. L. Bhatnagar, C. Theobalt and G. Pons-Moll 32nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019)

  3. Commonsense Knowledge

    /commonsense

    aspects, supplying even more expressiveness to CSK assertions. Ascent++ KB is a CSKB extracted from the C4 crawl using the Ascent++ pipeline. It consists of 2 million CSK assertions about 10K popular concepts [...] Engineering , 2022, doi: 10.1109/TKDE.2022.3206505. [ pdf ] Ascent 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 [...] mpi-inf.mpg.de/ Code: https://github.com/ychalier/dice Data: https://www.dropbox.com/sh/yqn3o1ngnx8c8fz/AADD2jHxBZm31IZ0n3U_Dnf8a?dl=0 WebChild WebChild is a large collection of commonsense knowledge,

  4. Commonsense knowledge extraction and consolidation

    /departments/databases-and-information-systems/teaching/ws2021/commonsense-knowledge-extraction-and-consolidation

    World Wide Web Conference. 2019. Commonsense explanations Reference 1: Semeval 2020 Task 4 subtask C Individual submissions see ArXiv or Google search for "SemEval 2020 Task 4" Physical commonsense Reference

  5. Completeness, Recall, and Negation in Open-World Knowledge Bases - ISWC'21 Tutorial

    /iswc-2021-tutorial

    Suchanek, F.M.: Predicting completeness in knowledge bases. In: WSDM (2017) 6. Galarraga, L.A., Teflioudi, C., Hose, K., Suchanek, F.: Amie: association rule mining under incomplete evidence in ontological knowledge [...] knowledge bases. In: WWW (2013) 7. Gashteovski, K., Gemulla, R., Kotnis, B., Hertling, S., Meilicke, C.: On aligning OpenIE extractions with knowledge bases: A case study. In: Eval4NLP (2020) 8. Ghosh, S [...] determining obligatory attributes in knowledge bases. In: WWW (2018) 12. Luggen, M., Difallah, D., Sarasua, C., Demartini, G., Cudr´e-Mauroux, P.: Non-parametric class completeness estimators for collaborative

  6. Completeness, Recall, and Negation in Open-World Knowledge Bases - KR 2021 tutorial

    /kr-2021-tutorial

    Suchanek, F.M.: Predicting completeness in knowledge bases. In: WSDM (2017) 6. Galarraga, L.A., Teflioudi, C., Hose, K., Suchanek, F.: Amie: association rule mining under incomplete evidence in ontological knowledge [...] knowledge bases. In: WWW (2013) 7. Gashteovski, K., Gemulla, R., Kotnis, B., Hertling, S., Meilicke, C.: On aligning OpenIE extractions with knowledge bases: A case study. In: Eval4NLP (2020) 8. Ghosh, S [...] determining obligatory attributes in knowledge bases. In: WWW (2018) 12. Luggen, M., Difallah, D., Sarasua, C., Demartini, G., Cudr´e-Mauroux, P.: Non-parametric class completeness estimators for collaborative

  7. Completeness, Recall, and Negation in Open-World Knowledge Bases - VLDB'21 Tutorial

    /vldb-2021-tutorial

    Suchanek, F.M.: Predicting completeness in knowledge bases. In: WSDM (2017) 6. Galarraga, L.A., Teflioudi, C., Hose, K., Suchanek, F.: Amie: association rule mining under incomplete evidence in ontological knowledge [...] knowledge bases. In: WWW (2013) 7. Gashteovski, K., Gemulla, R., Kotnis, B., Hertling, S., Meilicke, C.: On aligning OpenIE extractions with knowledge bases: A case study. In: Eval4NLP (2020) 8. Ghosh, S [...] determining obligatory attributes in knowledge bases. In: WWW (2018) 12. Luggen, M., Difallah, D., Sarasua, C., Demartini, G., Cudr´e-Mauroux, P.: Non-parametric class completeness estimators for collaborative

  8. Completeness, Recall, and Negation in Open-World Knowledge Bases - WWW'22 Tutorial

    /www-2022-tutorial

    Suchanek, F.M.: Predicting completeness in knowledge bases. In: WSDM (2017) 6. Galarraga, L.A., Teflioudi, C., Hose, K., Suchanek, F.: Amie: association rule mining under incomplete evidence in ontological knowledge [...] knowledge bases. In: WWW (2013) 7. Gashteovski, K., Gemulla, R., Kotnis, B., Hertling, S., Meilicke, C.: On aligning OpenIE extractions with knowledge bases: A case study. In: Eval4NLP (2020) 8. Ghosh, S [...] determining obligatory attributes in knowledge bases. In: WWW (2018) 12. Luggen, M., Difallah, D., Sarasua, C., Demartini, G., Cudr´e-Mauroux, P.: Non-parametric class completeness estimators for collaborative

  9. Computer Algebra

    /departments/algorithms-complexity/teaching/winter17/comp-alg

    Multipoint Evaluation and Applications ctd., Fast Polynomial Arithmetic over C 22.11.2017 Fast Polynomial Arithmetic over C ctd., Integral Domains, Ideals Chapter 2 : The Fast Fourier Transform and Fast [...] October, 2017 . Basic Information Lecturer: Michael Sagraloff Lectures: Monday and Wednesday 12-14 (c.t.), Room 24 in E1 4 Tutor: Anurag Pandey Tutorials: Thursday 08:30 am - 10:00 am, Room 24 in E1 4 (first

  10. Computer scientist expands knowledge of computers

    /news/press-release-articles/2020-1/saarbruecker-informatiker-christian-theobalt-zum-wissenschaftlichen-mitglied-der-max-planck-gesellschaft-berufen-1

    mpg.de/~srazniew/ https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/#c13511 Simon Razniewski Editor: Philipp Zapf-Schramm Competence Center Computer Science Saarland Informatics