Julian Chibane (PhD Student)

“Unimotion: Unifying 3D Human Motion Synthesis and Understanding,” in 3DV 2025, 12th International Conference on 3D Vision, Singapore.

@inproceedings{Li3DV25,
TITLE = {Unimotion: {U}nifying {3D} Human Motion Synthesis and Understanding},
AUTHOR = {Li, Chuqiao and Chibane, Julian and He, Yannan and Pearl, Naama and Geiger, Andreas and Pons-Moll, Gerard},
LANGUAGE = {eng},
PUBLISHER = {IEEE},
YEAR = {2025},
PUBLREMARK = {Accepted},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {3DV 2025, 12th International Conference on 3D Vision},
ADDRESS = {Singapore},
}

%0 Conference Proceedings
%A Li, Chuqiao
%A Chibane, Julian
%A He, Yannan
%A Pearl, Naama
%A Geiger, Andreas
%A Pons-Moll, Gerard
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Unimotion: Unifying 3D Human Motion Synthesis and Understanding : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0010-8BDD-9
%D 2025
%B 12th International Conference on 3D Vision
%Z date of event: 2025-03-25 - 2025-03-28
%C Singapore
%B 3DV 2025
%I IEEE

“Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion,” in 3DV 2024, 11th International Conference on 3D Vision, Davos, Switzerland, 2024.

@inproceedings{Guzov3DV24,
TITLE = {Interaction Replica: {T}racking Human--Object Interaction and Scene Changes From Human Motion},
AUTHOR = {Guzov, Vladimir and Chibane, Julian and Marin, Riccardo and He, Yannan and Saracoglu, Yunus and Sattler, Torsten and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {979-8-3503-6245-9},
DOI = {10.1109/3DV62453.2024.00072},
PUBLISHER = {IEEE},
YEAR = {2024},
MARGINALMARK = {$\bullet$},
DATE = {2024},
BOOKTITLE = {3DV 2024, 11th International Conference on 3D Vision},
PAGES = {1006--1016},
ADDRESS = {Davos, Switzerland},
}

%0 Conference Proceedings
%A Guzov, Vladimir
%A Chibane, Julian
%A Marin, Riccardo
%A He, Yannan
%A Saracoglu, Yunus
%A Sattler, Torsten
%A Pons-Moll, Gerard
%+ External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
External Organizations
External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000F-BABE-A
%R 10.1109/3DV62453.2024.00072
%D 2024
%B 11th International Conference on 3D Vision
%Z date of event: 2024-03-18 - 2024-03-21
%C Davos, Switzerland
%B 3DV 2024
%P 1006 - 1016
%I IEEE
%@ 979-8-3503-6245-9

“Object Pop-Up: Can We Infer 3D Objects and their Poses from Human Interactions Alone?,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.

@inproceedings{petrov2020objectpopup,
TITLE = {Object Pop-Up: {C}an We Infer {3D} Objects and their Poses from Human Interactions Alone?},
AUTHOR = {Petrov, Ilya A. and Marin, Riccardo and Chibane, Julian and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {979-8-3503-0129-8},
DOI = {10.1109/CVPR52729.2023.00458},
PUBLISHER = {IEEE},
YEAR = {2023},
MARGINALMARK = {$\bullet$},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023)},
PAGES = {4726--4736},
ADDRESS = {Vancouver, Canada},
}

%0 Conference Proceedings
%A Petrov, Ilya A.
%A Marin, Riccardo
%A Chibane, Julian
%A Pons-Moll, Gerard
%+ External Organizations
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
%T Object Pop-Up: Can We Infer 3D Objects and their Poses from 
Human Interactions Alone? : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000D-159E-A
%R 10.1109/CVPR52729.2023.00458
%D 2023
%B 36th IEEE/CVF Conference on Computer Vision and Pattern Recognition
%Z date of event: 2023-06-18 - 2023-06-23
%C Vancouver, Canada
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 4726 - 4736
%I IEEE
%@ 979-8-3503-0129-8

“Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using Bounding Boxes,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.

@inproceedings{Chibane_ECCV2022,
TITLE = {{Box2Mask}: {W}eakly Supervised {3D} Semantic Instance Segmentation using Bounding Boxes},
AUTHOR = {Chibane, Julian and Engelmann, Francis and Tran, Anh Tuan and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-3-031-19820-5},
DOI = {10.1007/978-3-031-19821-2_39},
PUBLISHER = {Springer},
YEAR = {2022},
DATE = {2022},
BOOKTITLE = {Computer Vision -- ECCV 2022},
EDITOR = {Avidan, Shai and Brostow, Gabriel and Ciss{\'e}, Moustapha and Farinella, Giovanni and Hassner, Tal},
PAGES = {681--699},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {13691},
ADDRESS = {Tel Aviv, Israel},
}

%0 Conference Proceedings
%A Chibane, Julian
%A Engelmann, Francis
%A Tran, Anh Tuan
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using Bounding Boxes : 
%G eng
%U http://hdl.handle.net/21.11116/0000-000C-2A9A-8
%R 10.1007/978-3-031-19821-2_39
%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 -- ECCV 2022
%E Avidan, Shai; Brostow, Gabriel; Cissé, Moustapha; Farinella, Giovanni; Hassner, Tal
%P 681 - 699
%I Springer
%@ 978-3-031-19820-5
%B Lecture Notes in Computer Science
%N 13691
%U https://rdcu.be/c26Up

“Stereo Radiance Fields (SRF): Learning View Synthesis from Sparse Views of Novel Scenes,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Nashville, TN, USA (Virtual), 2021.

@inproceedings{chibane21srf,
TITLE = {Stereo Radiance Fields {(SRF)}: {L}earning View Synthesis from Sparse Views of Novel Scenes},
AUTHOR = {Chibane, Julian and Bansal, Aayush and Lazova, Verica and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-1-6654-4509-2},
DOI = {10.1109/CVPR46437.2021.00782},
PUBLISHER = {IEEE},
YEAR = {2021},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)},
PAGES = {7907--7916},
ADDRESS = {Nashville, TN, USA (Virtual)},
}

%0 Conference Proceedings
%A Chibane, Julian
%A Bansal, Aayush
%A Lazova, Verica
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
External Organizations
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Stereo Radiance Fields (SRF): Learning View Synthesis from 
Sparse Views of Novel Scenes : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0008-326F-4
%R 10.1109/CVPR46437.2021.00782
%D 2021
%B 34th IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2021-06-19 - 2021-06-25
%C Nashville, TN, USA (Virtual)
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 7907 - 7916
%I IEEE
%@ 978-1-6654-4509-2

“Neural Unsigned Distance Fields for Implicit Function Learning,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), Virtual Event, 2020.

@inproceedings{Chibane_NeurIPs2020,
TITLE = {Neural Unsigned Distance Fields for Implicit Function Learning},
AUTHOR = {Chibane, Julian and Mir, Aymen and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {9781713829546},
PUBLISHER = {Curran Associates, Inc.},
YEAR = {2020},
BOOKTITLE = {Advances in Neural Information Processing Systems 33 (NeurIPS 2020)},
EDITOR = {Larochelle, H. and Ranzato, M. and Hadsell, R. and Balcan, M. F. and Lin, H.},
PAGES = {21638--21652},
ADDRESS = {Virtual Event},
}

%0 Conference Proceedings
%A Chibane, Julian
%A Mir, Aymen
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Neural Unsigned Distance Fields for Implicit Function Learning : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-6FCB-9
%D 2020
%B 34th Conference on Neural Information Processing Systems
%Z date of event: 2020-12-06 - 2020-12-12
%C Virtual Event
%B Advances in Neural Information Processing Systems 33
%E Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.
%P 21638 - 21652
%I Curran Associates, Inc.
%@ 9781713829546
%U https://papers.nips.cc/paper/2020/file/f69e505b08403ad2298b9f262659929a-Paper.pdf

“Implicit Feature Networks for Texture Completion from Partial 3D Data,” in Computer Vision -- ECCV Workshops 2020, Glasgow, UK, 2020.

@inproceedings{Chibane_ECCVW20,
TITLE = {Implicit Feature Networks for Texture Completion from Partial {3D} Data},
AUTHOR = {Chibane, Julian and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-3-030-66095-6},
DOI = {10.1007/978-3-030-66096-3_48},
PUBLISHER = {Springer},
YEAR = {2020},
DATE = {2020},
BOOKTITLE = {Computer Vision -- ECCV Workshops 2020},
EDITOR = {Bartoli, Adrien and Fusiello, Andrea},
PAGES = {717--725},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {12536},
ADDRESS = {Glasgow, UK},
}

%0 Conference Proceedings
%A Chibane, Julian
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Implicit Feature Networks for Texture Completion from Partial 3D Data : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-D88B-9
%R 10.1007/978-3-030-66096-3_48
%D 2020
%B 16th European Conference on Computer Vision
%Z date of event: 2020-08-23 - 2020-08-28
%C Glasgow, UK
%B Computer Vision -- ECCV Workshops 2020
%E Bartoli, Adrien; Fusiello, Andrea
%P 717 - 725
%I Springer
%@ 978-3-030-66095-6
%B Lecture Notes in Computer Science
%N 12536

“Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.

@inproceedings{chibane20ifnet,
TITLE = {Implicit Functions in Feature Space for {3D} Shape Reconstruction and Completion},
AUTHOR = {Chibane, Julian and Alldieck, Thiemo and Pons-Moll, Gerard},
LANGUAGE = {eng},
ISBN = {978-1-7281-7168-5},
DOI = {10.1109/CVPR42600.2020.00700},
PUBLISHER = {IEEE},
YEAR = {2020},
BOOKTITLE = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)},
PAGES = {6968--6979},
ADDRESS = {Seattle, WA, USA (Virtual)},
}

%0 Conference Proceedings
%A Chibane, Julian
%A Alldieck, Thiemo
%A Pons-Moll, Gerard
%+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
%T Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion : 
%G eng
%U http://hdl.handle.net/21.11116/0000-0007-7023-3
%R 10.1109/CVPR42600.2020.00700
%D 2020
%B 33rd IEEE Conference on Computer Vision and Pattern Recognition
%Z date of event: 2020-06-14 - 2020-06-19
%C Seattle, WA, USA (Virtual)
%B IEEE/CVF Conference on Computer Vision and Pattern Recognition
%P 6968 - 6979
%I IEEE
%@ 978-1-7281-7168-5