Gerard Pons-Moll (Senior Researcher)

Dr. Gerard Pons-Moll

Address
Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
Location
E1 4 - Room 605
Phone
+49 681 9325 2135
Fax
+49 681 9325 2099
Email
Get email via email

Group Homepage

 

Please visit my group website: http://virtualhumans.mpi-inf.mpg.de

 

    Offers

    If you are interested in doing a PhD on related areas, contact me direclty or send your application to d2-application@mpi-inf.mpg.de. We also have projects for bachelor and master theses and research internships of 6 months.

    Publications -- MPII only

    Sattar, H., Pons-Moll, G., & Fritz, M. (n.d.). Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV 2019). Waikoloa Village, HI, USA.
    (Accepted/in press)
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    BibTeX
    @inproceedings{sattar19wacv, TITLE = {Fashion is Taking Shape: {U}nderstanding Clothing Preference Based on Body Shape From Online Sources}, AUTHOR = {Sattar, Hosnieh and Pons-Moll, Gerard and Fritz, Mario}, LANGUAGE = {eng}, YEAR = {2019}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {2018 IEEE Winter Conference on Applications of Computer Vision (WACV 2019)}, ADDRESS = {Waikoloa Village, HI, USA}, }
    Endnote
    %0 Conference Proceedings %A Sattar, Hosnieh %A Pons-Moll, Gerard %A Fritz, Mario %+ Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society %T Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources : %G eng %U http://hdl.handle.net/21.11116/0000-0001-B309-B %D 2018 %B IEEE Winter Conference on Applications of Computer Vision %Z date of event: 2019-01-08 - 2019-01-10 %C Waikoloa Village, HI, USA %B 2018 IEEE Winter Conference on Applications of Computer Vision
    Yu, T., Zheng, Z., Guo, K., Zhao, J., Dai, Q., Li, H., … Liu, Y. (n.d.). DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor. In 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018). Salt Lake City, UT, USA.
    (Accepted/in press)
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    BibTeX
    @inproceedings{DoubleFusion, TITLE = {{DoubleFusion}: {R}eal-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor}, AUTHOR = {Yu, Tao and Zheng, Zherong and Guo, Kaiwen and Zhao, Jianhui and Dai, Qionghai and Li, Hao and Pons-Moll, Gerard and Liu, Yebin}, LANGUAGE = {eng}, YEAR = {2018}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)}, ADDRESS = {Salt Lake City, UT, USA}, }
    Endnote
    %0 Conference Proceedings %A Yu, Tao %A Zheng, Zherong %A Guo, Kaiwen %A Zhao, Jianhui %A Dai, Qionghai %A Li, Hao %A Pons-Moll, Gerard %A Liu, Yebin %+ External Organizations External Organizations External Organizations External Organizations External Organizations External Organizations Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society External Organizations %T DoubleFusion: Real-time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor : %G eng %U http://hdl.handle.net/21.11116/0000-0001-1E30-8 %D 2018 %B 31st IEEE Conference on Computer Vision and Pattern Recognition %Z date of event: 2018-06-18 - 2018-06-22 %C Salt Lake City, UT, USA %B 31st IEEE Conference on Computer Vision and Pattern Recognition
    Alldieck, T., Magnor, M. A., Xu, W., Theobalt, C., & Pons-Moll, G. (n.d.). Video Based Reconstruction of 3D People Models. In 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018). Salt Lake City, UT, USA.
    (Accepted/in press)
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    BibTeX
    @inproceedings{alldieck2018video, TITLE = {Video Based Reconstruction of {3D} People Models}, AUTHOR = {Alldieck, Thiemo and Magnor, Marcus A. and Xu, Weipeng and Theobalt, Christian and Pons-Moll, Gerard}, LANGUAGE = {eng}, YEAR = {2018}, PUBLREMARK = {Accepted}, MARGINALMARK = {$\bullet$}, BOOKTITLE = {31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018)}, ADDRESS = {Salt Lake City, UT, USA}, }
    Endnote
    %0 Conference Proceedings %A Alldieck, Thiemo %A Magnor, Marcus A. %A Xu, Weipeng %A Theobalt, Christian %A Pons-Moll, Gerard %+ External Organizations External Organizations External Organizations Computer Graphics, MPI for Informatics, Max Planck Society Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society %T Video Based Reconstruction of 3D People Models : %G eng %U http://hdl.handle.net/21.11116/0000-0001-1E24-6 %D 2018 %B 31st IEEE Conference on Computer Vision and Pattern Recognition %Z date of event: 2018-06-18 - 2018-06-22 %C Salt Lake City, UT, USA %B 31st IEEE Conference on Computer Vision and Pattern Recognition
    Omran, M., Lassner,, C., Pons-Moll, G., Gehler, P., & Schiele, B. (2018). Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation. In 3DV 2018 , International Conference on 3D Vision. Verona, Italy: IEEE. doi:10.1109/3DV.2018.00062
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    BibTeX
    @inproceedings{omran2018nbf, TITLE = {Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation}, AUTHOR = {Omran, Mohamed and Lassner,, Christoph and Pons-Moll, Gerard and Gehler, Peter and Schiele, Bernt}, LANGUAGE = {eng}, ISBN = {978-1-5386-8425-2 ; 978-1-5386-8426-9}, DOI = {10.1109/3DV.2018.00062}, PUBLISHER = {IEEE}, YEAR = {2018}, MARGINALMARK = {$\bullet$}, DATE = {2018}, BOOKTITLE = {3DV 2018 , International Conference on 3D Vision}, PAGES = {484--494}, ADDRESS = {Verona, Italy}, }
    Endnote
    %0 Conference Proceedings %A Omran, Mohamed %A Lassner,, Christoph %A Pons-Moll, Gerard %A Gehler, Peter %A Schiele, Bernt %+ Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society External Organizations Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society External Organizations Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society %T Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation : %G eng %U http://hdl.handle.net/21.11116/0000-0001-E564-C %R 10.1109/3DV.2018.00062 %D 2018 %B International Conference on 3D Vision %Z date of event: 2018-09-05 - 2018-09-08 %C Verona, Italy %B 3DV 2018 %P 484 - 494 %I IEEE %@ 978-1-5386-8425-2 978-1-5386-8426-9
    Von Marcard, T., Henschel, R., Black, M. J., Rosenhahn, B., & Pons-Moll, G. (2018). Recovering Accurate {3D} Human Pose in the Wild Using {IMUs} and a Moving Camera. In Computer Vision -- ECCV 2018. Munich, Germany: Springer. doi:10.1007/978-3-030-01249-6_37
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    BibTeX
    @inproceedings{Marcard_ECCV2018, TITLE = {Recovering Accurate {\textbraceleft}{3D}{\textbraceright} Human Pose in the Wild Using {\textbraceleft}{IMUs}{\textbraceright} and a Moving Camera}, AUTHOR = {von Marcard, Timo and Henschel, Roberto and Black, Michael J. and Rosenhahn, Bodo and Pons-Moll, Gerard}, LANGUAGE = {eng}, ISBN = {978-3-030-01248-9}, DOI = {10.1007/978-3-030-01249-6_37}, PUBLISHER = {Springer}, YEAR = {2018}, MARGINALMARK = {$\bullet$}, DATE = {2018}, BOOKTITLE = {Computer Vision -- ECCV 2018}, PAGES = {614--631}, SERIES = {Lecture Notes in Computer Science}, VOLUME = {11214}, ADDRESS = {Munich, Germany}, }
    Endnote
    %0 Conference Proceedings %A von Marcard, Timo %A Henschel, Roberto %A Black, Michael J. %A Rosenhahn, Bodo %A Pons-Moll, Gerard %+ External Organizations External Organizations External Organizations External Organizations Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society %T Recovering Accurate {3D} Human Pose in the Wild Using {IMUs} and a Moving Camera : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5B61-B %R 10.1007/978-3-030-01249-6_37 %D 2018 %B 15th European Conference on Computer Vision %Z date of event: 2018-09-08 - 2018-09-14 %C Munich, Germany %B Computer Vision -- ECCV 2018 %P 614 - 631 %I Springer %@ 978-3-030-01248-9 %B Lecture Notes in Computer Science %N 11214
    Alldieck, T., Magnor, M. A., Xu, W., Theobalt, C., & Pons-Moll, G. (2018). Detailed Human Avatars from Monocular Video. In 3DV 2018 , International Conference on 3D Vision. Verona, Italy: IEEE. doi:10.1109/3DV.2018.00022
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    BibTeX
    @inproceedings{Alldieck_3DV2018, TITLE = {Detailed Human Avatars from Monocular Video}, AUTHOR = {Alldieck, Thiemo and Magnor, Marcus A. and Xu, Weipeng and Theobalt, Christian and Pons-Moll, Gerard}, LANGUAGE = {eng}, ISBN = {978-1-5386-8425-2 ; 978-1-5386-8426-9}, DOI = {10.1109/3DV.2018.00022}, PUBLISHER = {IEEE}, YEAR = {2018}, MARGINALMARK = {$\bullet$}, DATE = {2018}, BOOKTITLE = {3DV 2018 , International Conference on 3D Vision}, PAGES = {98--109}, ADDRESS = {Verona, Italy}, }
    Endnote
    %0 Conference Proceedings %A Alldieck, Thiemo %A Magnor, Marcus A. %A Xu, Weipeng %A Theobalt, Christian %A Pons-Moll, Gerard %+ Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society External Organizations Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society %T Detailed Human Avatars from Monocular Video : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5C40-F %R 10.1109/3DV.2018.00022 %D 2018 %B International Conference on 3D Vision %Z date of event: 2018-09-05 - 2018-09-08 %C Verona, Italy %B 3DV 2018 %P 98 - 109 %I IEEE %@ 978-1-5386-8425-2 978-1-5386-8426-9
    Mehta, D., Sotnychenko, O., Mueller, F., Xu, W., Sridhar, S., Pons-Moll, G., & Theobalt, C. (2018). Single-Shot Multi-person 3D Pose Estimation from Monocular RGB. In 3DV 2018 , International Conference on 3D Vision. Verona, Italy: IEEE. doi:10.1109/3DV.2018.00024
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    BibTeX
    @inproceedings{Mehta_3DV2018, TITLE = {Single-Shot Multi-person {3D} Pose Estimation from Monocular {RGB}}, AUTHOR = {Mehta, Dushyant and Sotnychenko, Oleksandr and Mueller, Franziska and Xu, Weipeng and Sridhar, Srinath and Pons-Moll, Gerard and Theobalt, Christian}, LANGUAGE = {eng}, ISBN = {978-1-5386-8425-2 ; 978-1-5386-8426-9}, DOI = {10.1109/3DV.2018.00024}, PUBLISHER = {IEEE}, YEAR = {2018}, MARGINALMARK = {$\bullet$}, DATE = {2018}, BOOKTITLE = {3DV 2018 , International Conference on 3D Vision}, PAGES = {120--130}, ADDRESS = {Verona, Italy}, }
    Endnote
    %0 Conference Proceedings %A Mehta, Dushyant %A Sotnychenko, Oleksandr %A Mueller, Franziska %A Xu, Weipeng %A Sridhar, Srinath %A Pons-Moll, Gerard %A Theobalt, Christian %+ Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society External Organizations Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society Computer Graphics, MPI for Informatics, Max Planck Society %T Single-Shot Multi-person 3D Pose Estimation from Monocular RGB : %G eng %U http://hdl.handle.net/21.11116/0000-0002-5C46-9 %R 10.1109/3DV.2018.00024 %D 2018 %B International Conference on 3D Vision %Z date of event: 2018-09-05 - 2018-09-08 %C Verona, Italy %B 3DV 2018 %P 120 - 130 %I IEEE %@ 978-1-5386-8425-2 978-1-5386-8426-9
    Huang, Y., Kaufmann, M., Aksan, E., Black, M. J., Hilliges, O., & Pons-Moll, G. (2018). Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time. ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia 2018), 37(6). doi:10.1145/3272127.3275108
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    BibTeX
    @article{DIP:SIGGRAPHAsia:2018, TITLE = {Deep Inertial Poser: {L}earning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time}, AUTHOR = {Huang, Yinghao and Kaufmann, Manuel and Aksan, Emre and Black, Michael J. and Hilliges, Otmar and Pons-Moll, Gerard}, LANGUAGE = {eng}, ISSN = {0730-0301}, ISBN = {978-1-4503-6008-1}, DOI = {10.1145/3272127.3275108}, PUBLISHER = {ACM}, ADDRESS = {New York, NY}, YEAR = {2018}, MARGINALMARK = {$\bullet$}, DATE = {2018}, JOURNAL = {ACM Transactions on Graphics (Proc. ACM SIGGRAPH Asia)}, VOLUME = {37}, NUMBER = {6}, EID = {185}, BOOKTITLE = {Proceedings of ACM SIGGRAPH Asia 2018}, }
    Endnote
    %0 Journal Article %A Huang, Yinghao %A Kaufmann, Manuel %A Aksan, Emre %A Black, Michael J. %A Hilliges, Otmar %A Pons-Moll, Gerard %+ External Organizations External Organizations External Organizations External Organizations External Organizations Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society %T Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time : %G eng %U http://hdl.handle.net/21.11116/0000-0002-9C1E-E %R 10.1145/3272127.3275108 %7 2018 %D 2018 %J ACM Transactions on Graphics %O TOG %V 37 %N 6 %Z sequence number: 185 %I ACM %C New York, NY %@ false %B Proceedings of ACM SIGGRAPH Asia 2018 %O ACM SIGGRAPH Asia 2018 Tokyo, Japan, December 04 - 07, 2018 SA'18 SA 2018 %@ 978-1-4503-6008-1