publications

2026

1. 

   LEXIS: LatEnt ProXimal Interaction Signatures for 3D HOI from an Image NEW

   Dimitrije Antić, Alvaro Budria^*, Georgios Paschalidis^*, Sai Kumar Dwivedi, and Dimitrios Tzionas

   ^* Equal contribution

   arXiv2026

   arXiv Bib Website

   @article{antic2026lexis,
     title = {{LEXIS}: {LatEnt} {ProXimal} Interaction Signatures for {3D} {HOI} from an Image},
     author = {Anti\'{c}, Dimitrije and Budria*, Alvaro and Paschalidis*, Georgios and Dwivedi, Sai Kumar and Tzionas, Dimitrios},
     journal = {arXiv preprint arXiv:2604.20800},
     year = {2026},
   }

2025

1. 

   SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image

   Dimitrije Antić, Georgios Paschalidis, Shashank Tripathi, Theo Gevers, Sai Kumar Dwivedi, and Dimitrios Tzionas

   ICCV2025

   arXiv Bib Website

   @inproceedings{antic2025sdfit,
     title = {{SDFit}: {3D} Object Pose and Shape by Fitting a Morphable {SDF} to a Single Image},
     author = {Anti\'{c}, Dimitrije and Paschalidis, Georgios and Tripathi, Shashank and Gevers, Theo and Dwivedi, Sai Kumar and Tzionas, Dimitrios},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
     month = oct,
     year = {2025},
   }

2. 

   InteractVLM: 3D Interaction Reasoning from 2D Foundational Models

   Sai Kumar Dwivedi, Dimitrije Antić, Shashank Tripathi, Omid Taheri, Cordelia Schmid, Michael J. Black, and Dimitrios Tzionas

   CVPR2025

   arXiv Bib PDF Code Website

   @inproceedings{dwivedi_interactvlm_2025,
     title = {{InteractVLM}: {3D} Interaction Reasoning from {2D} Foundational Models},
     author = {Dwivedi, Sai Kumar and Anti\'{c}, Dimitrije and Tripathi, Shashank and Taheri, Omid and Schmid, Cordelia and Black, Michael J. and Tzionas, Dimitrios},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2025},
   }

3. 

   3D Whole-Body Grasp Synthesis with Directional Controllability

   Georgios Paschalidis, Romana Wilschut, Dimitrije Antić, Omid Taheri, and Dimitrios Tzionas

   3DV2025

   arXiv Bib Code Website

   @inproceedings{paschalidis2025cwgrasp,
     title = {{3D} {W}hole-Body Grasp Synthesis with Directional Controllability},
     author = {Paschalidis, Georgios and Wilschut, Romana and Anti\'{c}, Dimitrije and Taheri, Omid and Tzionas, Dimitrios},
     booktitle = {{International Conference on 3D Vision (3DV)}},
     year = {2025},
     month = mar,
   }

2024

1. 

   CloSe: A 3D Clothing Segmentation Dataset and Model

   Dimitrije Antić, Garvita Tiwari, Batuhan Ozcomlekci, Riccardo Marin, and Gerard Pons-Moll

   3DV2024

   arXiv Bib PDF Code Website

   @inproceedings{antic2024close,
     title = {CloSe: A 3D Clothing Segmentation Dataset and Model},
     author = {Anti\'{c}, Dimitrije and Tiwari, Garvita and Ozcomlekci, Batuhan and Marin, Riccardo and Pons-Moll, Gerard},
     booktitle = {International Conference on 3D Vision (3DV)},
     month = mar,
     year = {2024},
   }

2022

1. 

   Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields

   Garvita Tiwari, Dimitrije Antić, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, and Gerard Pons-Moll

   ECCV2022  Best Paper Honorable Mention

   arXiv Bib Website

   @inproceedings{tiwari22posendf,
     author = {Tiwari, Garvita and Anti\'{c}, Dimitrije and Lenssen, Jan Eric and Sarafianos, Nikolaos and Tung, Tony and Pons-Moll, Gerard},
     booktitle = {European Conference on Computer Vision (ECCV)},
     month = oct,
     title = {Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields},
     year = {2022},
   }

2. 

   On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

   Maximilian Seitzer, Arash Tavakoli, Dimitrije Antic, and Georg Martius

   ICLR2022

   arXiv Bib Code

   @inproceedings{Seitzer2022PitfallsOfUncertainty,
     author = {Seitzer, Maximilian and Tavakoli, Arash and Antic, Dimitrije and Martius, Georg},
     booktitle = {International Conference on Learning Representations},
     month = apr,
     publisher = {arXiv},
     title = {On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks},
     year = {2022},
   }