Muhammed Kocabas

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

About Me

I am a Ph.D. student with the Max Planck ETH Center for Learning Systems (CLS), supervised by Michael J. Black (MPI) and Otmar Hilliges (ETH). My research focuses on estimating human body pose and shape from images and videos. Such technology will be a crucial step towards next-gen telecommunication and entertainment, e.g., in immersive 3D video-conferencing and VR gaming.

Publications

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
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
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
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
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
Paper