Muhammed Kocabas

PhD Student
mkocabas@inf.ethz.ch
Max Planck Institute for Intelligent Systems, Tübingen, Germany
https://ps.is.mpg.de/person/mkocabas
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About Me

I graduated with a Ph.D. degree from Advanced Interactive Technologies lab at ETH Zurich with funding from the Max Planck ETH Center for Learning Systems (CLS). I was supervised by Michael J. Black (MPI) and Otmar Hilliges (ETH). Now, I work as an ML Scientist at Meshcapade.


Links:

Research Interests

My research focuses on estimating human body pose and shape from images and videos, human-object interaction, and 3D human modeling.

Publications

PromptHMR: Promptable Human Mesh Recovery
Yufu Wang, Yu Sun, Priyanka Patel, Kostas Daniilidis, Michael J. Black, Muhammed Kocabas
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2025
Video Paper Code
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video
Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Muhammed Kocabas, Xu Chen, Michael J. Black, Otmar Hilliges
Computer Vision and Pattern Recognition (CVPR), 2024
Accepted as Highlight (Top 11.9%)
Video Paper Code
HUGS: Human Gaussian Splats
Muhammed Kocabas, Rick Chang, James Gabriel, Oncel Tuzel, Anurag Ranjan
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024
Video Paper Code
Physically Plausible Full-Body Hand-Object Interaction Synthesis
Jona Braun, Sammy Christen, Muhammed Kocabas, Emre Aksan, Otmar Hilliges
International Conference on 3D Vision 2024 (3DV), 2024
Accepted as Spotlight Presentation
Video Paper Code
Muhammed Kocabas, Ye Yuan, Pavlo Molchanov, Yunrong Guo, Michael J. Black, Otmar Hilliges, Jan Kautz, Umar Iqbal
International Conference on 3D Vision (3DV 2024), 2024
Accepted as Spotlight Presentation
Video Paper
HMP: Hand Motion Priors for Pose and Shape Estimation from Video
Enes Duran, Muhammed Kocabas, Vasileios Choutas, Zicong Fan, Michael J. Black
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Video Paper Code
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Zicong Fan, Omid Taheri, Dimitrios Tzionas, Muhammed Kocabas, Manuel Kaufmann, Michael Black, Otmar Hilliges
Computer Vision and Pattern Recognition (CVPR), 2023
Video Paper Code
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning
Andrea Ziani*, Zicong Fan*, Muhammed Kocabas, Sammy Christen, Otmar Hilliges * Equal contribution
International Conference on 3D Vision (3DV), 2022
Video Paper Code
Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors
Xi Wang*, Gen Li*, Yen-Ling Kuo, Muhammed Kocabas, Emre Aksan, Otmar Hilliges * Equal contribution
International Conference on 3D Vision (3DV), 2022
Video Paper
D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions
Sammy Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges
Computer Vision and Pattern Recognition (CVPR), 2022
Video Paper Code
Human-Aware Object Placement for Visual Environment Reconstruction
Hongwei Yi, Chun-Hao Paul Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, Michael J. Black
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022
Video Paper Data Code
Learning to Disambiguate Strongly Interacting Hands via Probabilistic Per-pixel Part Segmentation
Zicong Fan, Adrian Spurr, Muhammed Kocabas, Siyu Tang, Michael Black, Otmar Hilliges
International Conference on 3D Vision (3DV), 2021
Accepted as Oral Presentation
SPEC: Seeing People in the wild with an Estimated Camera
Muhammed Kocabas, Chun-Hao Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, Michael Black
Proceedings of the International Conference on Computer Vision 2021, 2021
Video Paper Data Code
PARE: Part Attention Regressor for 3D Human Body Estimation
Muhammed Kocabas, Chun-Hao Huang, Otmar Hilliges, Michael Black
Proceedings of the International Conference on Computer Vision 2021, 2021
Video Paper Code
Learning To Regress Bodies From Images Using Differentiable Semantic Rendering
Sai Kumar Dwivedi, Nikos Athanasiou, Muhammed Kocabas, Michael J. Black
Proceedings of the International Conference on Computer Vision 2021, 2021
Video Paper Code
VIBE: Video Inference for Human Body Pose and Shape Estimation
Muhammed Kocabas, Nikos Athanasiou, Michael J. Black
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2020
Video Talk Paper Code

Academic Activities

Reviewing

I've served as a reviewer for CVPR, ECCV, ICCV, ICLR, NeurIPS, TPAMI, TVGC, Siggraph, and Siggraph Asia.

Teaching