- University of Tübingen
Maria-von-Linden Strasse 6
72076 Tübingen - Room 20-7/A18
- vguzov@mpi-inf.mpg.de, vladimir.guzov@uni-tuebingen.de
@vguzov | @guzov_vladimir |
About Me
I am a PhD student at the Real Virtual Humans group within the Department of Computer Science at the University of Tübingen and the department of Computer Vision and Machine Learning at the Max Planck Institute for Informatics, under supervision of Prof. Dr. Gerard Pons-Moll. I have done my Bachelor and Master research in the field of human reconstruction from depth images at Moscow State University Graphics and Media Lab. I am exploring a subject of human-object interactions and human motion capturing.
Research Interests
- Human body reconstruction
- Human performance capturing
- Camera and object localization
Recent Awards
- Our Human POSEitiong System publication was shortlisted for the Best paper award at CVPR 2021
Publications
Vladimir Guzov,
Julian Chibane,
Riccardo Marin,
Yannan He,
Yunus Saracoglu,
Torsten Sattler,
Gerard Pons-Moll
Interaction Replica: Tracking human–object interaction and scene changes from human motion
in International Conference on 3D Vision (3DV), 2024.
Interaction Replica: Tracking human–object interaction and scene changes from human motion
in International Conference on 3D Vision (3DV), 2024.
Verica Lazova,
Vladimir Guzov,
Kyle Olszewski,
Sergey Tulyakov,
Gerard Pons-Moll
Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation
in Winter Conference on Applications of Computer Vision (WACV), 2023.
Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation
in Winter Conference on Applications of Computer Vision (WACV), 2023.
Xiaohan Zhang,
Bharat Lal Bhatnagar,
Sebastian Starke,
Vladimir Guzov,
Gerard Pons-Moll
COUCH: Towards Controllable Human-Chair Interactions
in European Conference on Computer Vision (ECCV), 2022.
COUCH: Towards Controllable Human-Chair Interactions
in European Conference on Computer Vision (ECCV), 2022.
Vladimir Guzov,
Aymen Mir,
Torsten Sattler,
Gerard Pons-Moll
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
(First two authors contributed equally)
Oral, Best paper finalist
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
(First two authors contributed equally)
Oral, Best paper finalist