Scholar
Jonas Kulhanek
Google Scholar ID: YDNzfN4AAAAJ
Czech Technical University in Prague
Citations & Impact
Citations
654
H-index
10
i10-index
10
Publications
15
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering, NeurIPS 2025
- - NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods, NeurIPS 2025
- - WildGaussians: 3D Gaussian Splatting in the Wild, NeurIPS 2024
- - WaterSplatting: Fast Underwater 3D Scene Reconstruction Using Gaussian Splatting, 3DV 2025
- - Dynamic 3D Gaussian Fields for Urban Areas, NeurIPS 2024
- - Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra, ICCV 2023
- - ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers, ECCV 2022
- - SymFormer: End-to-end symbolic regression using transformer-based architecture, IEEE Access 2024
- - AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models, NLP4ConvAI, EMNLP 2021
- - Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning, ICRA 2021, RA-L
- - Vision-based Navigation Using Deep Reinforcement Learning, ECMR 2019
Research Experience
- - Position: Research Scientist
- - Work Experience:
- - November 2025: Joined Apple as a Research Scientist
- - May 2025: Completed an internship at Google Zurich
- - July 2022 to January 2023: Joined the ELLIS program, researching towards a unified 3D scene representation
- - November 2022: Completed an internship at Meta Reality Labs
- - September 2021: Started PhD at CTU under the supervision of Torsten Sattler
- - Before February 2021: Junior researcher at CIIRC, CTU, focusing on visual navigation and neural scene representation
Education
- - Degree: Master's
- - University: Charles University, Faculty of Mathematics and Physics
- - Date: June 2021
- - Major: Artificial Intelligence
- - Degree: Bachelor's
- - University: Czech Technical University, Faculty of Electrical Engineering
- - Major: Computer Science
Background
- - Research Interests: Implicit 3D scene representation
- - Professional Field: Computer Science
- - Brief Introduction: PhD student, focusing on implicit 3D scene representation, participated in multiple international conferences and projects.
