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Muhammed Kocabas
Muhammed Kocabas
Max Planck Institute for Intelligent Systems, ETH Zurich, Max Planck ETH Center for Learning
Dirección de correo verificada de tue.mpg.de - Página principal
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Año
VIBE: Video inference for human body pose and shape estimation
M Kocabas, N Athanasiou, MJ Black
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
11492020
PARE: Part attention regressor for 3d human body estimation
M Kocabas, CHP Huang, O Hilliges, MJ Black
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
4582021
Multiposenet: Fast multi-person pose estimation using pose residual network
M Kocabas, S Karagoz, E Akbas
Proceedings of the European conference on computer vision (ECCV), 417-433, 2018
3842018
Self-supervised learning of 3d human pose using multi-view geometry
M Kocabas, S Karagoz, E Akbas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3662019
ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Z Fan, O Taheri, D Tzionas, M Kocabas, M Kaufmann, MJ Black, ...
Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2, 2023
1562023
SPEC: Seeing people in the wild with an estimated camera
M Kocabas, CHP Huang, J Tesch, L Müller, O Hilliges, MJ Black
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1502021
HUGS: Human gaussian splats
M Kocabas, JHR Chang, J Gabriel, O Tuzel, A Ranjan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
962024
D-grasp: Physically plausible dynamic grasp synthesis for hand-object interactions
S Christen, M Kocabas, E Aksan, J Hwangbo, J Song, O Hilliges
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
912022
Human-aware object placement for visual environment reconstruction
H Yi, CHP Huang, D Tzionas, M Kocabas, M Hassan, S Tang, J Thies, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
692022
Learning to disambiguate strongly interacting hands via probabilistic per-pixel part segmentation
Z Fan, A Spurr, M Kocabas, S Tang, MJ Black, O Hilliges
2021 International Conference on 3D Vision (3DV), 1-10, 2021
612021
Learning to regress bodies from images using differentiable semantic rendering
SK Dwivedi, N Athanasiou, M Kocabas, MJ Black
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
572021
System for estimating a pose of one or more persons in a scene
E Akbas, M Kocabas, MS Karagoz, N Berme
US Patent 11,074,711, 2021
532021
System for estimating a three dimensional pose of one or more persons in a scene
E Akbas, M Kocabas, MS Karagoz, N Berme
US Patent 10,853,970, 2020
432020
Physically plausible full-body hand-object interaction synthesis
J Braun, S Christen, M Kocabas, E Aksan, O Hilliges
2024 International Conference on 3D Vision (3DV), 2024
332024
PACE: Human and Camera Motion Estimation from in-the-wild Videos
M Kocabas, Y Yuan, P Molchanov, Y Guo, MJ Black, O Hilliges, J Kautz, ...
2024 International Conference on 3D Vision (3DV), 2024
23*2024
Reconstructing action-conditioned human-object interactions using commonsense knowledge priors
X Wang, G Li, YL Kuo, M Kocabas, E Aksan, O Hilliges
2022 International Conference on 3D Vision (3DV), 353-362, 2022
232022
Tempclr: Reconstructing hands via time-coherent contrastive learning
A Ziani, Z Fan, M Kocabas, S Christen, O Hilliges
2022 International Conference on 3D Vision (3DV), 627-636, 2022
192022
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
Z Fan, M Parelli, ME Kadoglou, M Kocabas, X Chen, MJ Black, O Hilliges
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
182024
HMP: Hand motion priors for pose and shape estimation from video
E Duran, M Kocabas, V Choutas, Z Fan, MJ Black
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
92024
Simple multi person tracker
M Kocabas
GitHub, Inc., https://github.com/mkocabas/multi-person, 2019
22019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20