Omid Taheri

Perceiving Systems Postdoctoral Researcher

I am a PostDoc researcher in Perceiving Systems at the Max Planck Institute for Intelligent Systems, where I completed my Ph.D. under the guidance of Professor Michael J. Black and Dr. Dimitrios Tzionas. My research focuses on creating Virtual Humans that move and interact with 3D scenes and objects in a manner that closely mimics real human behavior.

My research interests are broad and span multiple areas, including precise motion capture (MoCap) using multimodal sensors (IMUs, cameras, pressure sensors, etc.), 3D reconstruction from images, human-scene interaction, and 3D representation. Recently, I've expanded my focus to include cutting-edge AI topics such as diffusion models and Large Language Models (LLMs) for enhancing object interaction and scene understanding.

These interests include:

  • Virtual Avatar Animation
  • Human-Object Interaction
  • Grasp Prediction
  • Motion Synthesis and Tracking
  • Object-Interaction Detection
  • 3D Geometry Representation
  • Diffusion Models
  • Large Language Models (LLMs)

My work aims to advance the development of human-centered AI that can accurately perceive human actions, understand complex interactions, and generate realistic virtual representations for applications in ambient intelligence, virtual assistants, mixed reality, and the Metaverse.

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Perceiving Systems Conference Paper InteractVLM: 3D Interaction Reasoning from 2D Foundational Models Dwivedi, S. K., Antić, D., Tripathi, S., Taheri, O., Schmid, C., Black, M. J., Tzionas, D. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025, Accepted (Accepted) Project Paper Code Video BibTeX
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Perceiving Systems Conference Paper CHOIR: A Versatile and Differentiable Hand-Object Interaction Representation Morales, T., Taheri, O., Lacey, G. In Winter Conference on Applications of Computer Vision (WACV), February 2025 (Published) GitHub Paper URL BibTeX
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Perceiving Systems Conference Paper HUMOS: Human Motion Model Conditioned on Body Shape Tripathi, S., Taheri, O., Lassner, C., Black, M. J., Holden, D., Stoll, C. In European Conference on Computer Vision (ECCV 2024), LNCS, Springer Cham, October 2024 (Published) project arXiv BibTeX
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Perceiving Systems Conference Paper WANDR: Intention-guided Human Motion Generation Diomataris, M., Athanasiou, N., Taheri, O., Wang, X., Hilliges, O., Black, M. J. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 927,936, IEEE Computer Society, CVPR, June 2024 (Published) project website arXiv YouTube Video Code CVF DOI URL BibTeX
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Perceiving Systems Conference Paper GRIP: Generating Interaction Poses Using Spatial Cues and Latent Consistency Taheri, O., Zhou, Y., Tzionas, D., Zhou, Y., Ceylan, D., Pirk, S., Black, M. J. In International Conference on 3D Vision (3DV 2024), 3DV, March 2024 (Published) Paper SupMat Poster URL BibTeX
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Perceiving Systems Article InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction from Multi-view RGB-D Images Huang, Y., Taheri, O., Black, M. J., Tzionas, D. International Journal of Computer Vision (IJCV), 132(7):2551-2566, 2024 (Published) Paper DOI URL BibTeX
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Perceiving Systems Conference Paper 3D Human Pose Estimation via Intuitive Physics Tripathi, S., Müller, L., Huang, C. P., Taheri, O., Black, M. J., Tzionas, D. In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR) , 4713-4725, CVPR, June 2023 (Published) Project Page Moyo Dataset DOI URL BibTeX
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Perceiving Systems Conference Paper ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation Fan, Z., Taheri, O., Tzionas, D., Kocabas, M., Kaufmann, M., Black, M. J., Hilliges, O. In IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 12943-12954, CVPR, June 2023 (Published) Project Page Code Paper arXiv Video DOI URL BibTeX
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Perceiving Systems Conference Paper InterCap: Joint Markerless 3D Tracking of Humans and Objects in Interaction Huang, Y., Taheri, O., Black, M. J., Tzionas, D. In Pattern Recognition, 281-299, Lecture Notes in Computer Science, 13485, (Editors: Andres, Björn and Bernard, Florian and Cremers, Daniel and Frintrop, Simone and Goldlücke, Bastian and Ihrke, Ivo), Springer, Cham, 44th DAGM German Conference on Pattern Recognition (DAGM GCPR 2022), September 2022 (Published) Code Data YouTube Video pdf DOI URL BibTeX
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