Tobias Fischer

Dr. Tobias Fischer

Apple

Biography

I’m a Researcher on the 3D Vision Team at Apple in Cupertino, California. I obtained my Ph.D. in Computer Science at the Computer Vision and Geometry Group of ETH Zurich, working with Marc Pollefeys. During my Ph.D., I was a Research Scientist Intern at NVIDIA with Zan Gojcic, and at Meta Reality Labs with Peter Kontschieder’s team, working with Samuel Rota Bulò. I obtained my M.Sc. and B.Sc. degrees in Computer Science from RWTH Aachen University, where I worked with Jonathon Luiten and Bastian Leibe as a Student Researcher. In 2020, I was a Visiting Researcher at the University of California, Berkeley with Trevor Darrell. My research focuses on 3D computer vision techniques that let AI systems perceive, model, and interact with the physical world.

Interests

  • Computer Vision
  • Deep Learning
  • Artificial Intelligence

Education

  • Ph.D. Computer Science

    ETH Zürich

  • M.Sc. Computer Science

    RWTH Aachen University

  • B.Sc. Computer Science

    RWTH Aachen University

Selected Publications

Déjà View: Looping Transformers for Multi-View 3D Reconstruction

Alessandro Burzio*Equal Contribution, Tobias Fischer*Equal Contribution, Sven Elflein, Qunjie Zhou, Riccardo De Lutio, Jiawei Ren, Jiahui Huang, Shengyu Huang, Marc Pollefeys, Laura Leal-Taixé, Zan Gojcic, Haithem Turki
arXiv preprint, 2026
Déjà View: Looping Transformers for Multi-View 3D Reconstruction

ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models

Riccardo De Lutio*Equal Contribution, Tobias Fischer, Yen-Yu Chang, Yuxuan Zhang, Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Katarina Tothova, Zan Gojcic, Haithem Turki*Equal Contribution
ACM SIGGRAPH, 2026
ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

Nikhil Keetha, Norman Müller, Johannes Schönberger, Lorenzo Porzi, Yuchen Zhang, Tobias Fischer, Arno Knapitsch, Duncan Zauss, Ethan Weber, Nelson Antunes, Jonathon Luiten, Manuel Lopez-Antequera, Samuel Rota Bulò, Christian Richardt, Deva Ramanan, Sebastian Scherer, Peter Kontschieder
International Conference on 3D Vision (3DV), 2026
MapAnything: Universal Feed-Forward Metric 3D Reconstruction

FlowR: Flowing from Sparse to Dense 3D Reconstructions

Tobias Fischer, Samuel Rota Bulò, Yung-Hsu Yang, Nikhil Keetha, Lorenzo Porzi, Norman Müller, Katja Schwarz, Jonathon Luiten, Marc Pollefeys, Peter Kontschieder
International Conference on Computer Vision (ICCV), 2025
FlowR: Flowing from Sparse to Dense 3D Reconstructions

Dynamic 3D Gaussian Fields for Urban Areas

Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi, Marc Pollefeys, Peter Kontschieder
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Dynamic 3D Gaussian Fields for Urban Areas

Multi-Level Neural Scene Graphs for Dynamic Urban Environments

Tobias Fischer, Lorenzo Porzi, Samuel Rota Bulò, Marc Pollefeys, Peter Kontschieder
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Multi-Level Neural Scene Graphs for Dynamic Urban Environments

R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras

Aron Schmied*Equal Contribution, Tobias Fischer*Equal Contribution, Martin Danelljan, Marc Pollefeys, Fisher Yu
International Conference on Computer Vision (ICCV), 2023
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras

Monocular Quasi-Dense 3D Object Tracking

Hou-Ning Hu, Yung-Hsu Yang, Tobias Fischer, Trevor Darrell, Fisher Yu, Min Sun
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Monocular Quasi-Dense 3D Object Tracking

Track to Reconstruct and Reconstruct to Track

Jonathon Luiten*Equal Contribution, Tobias Fischer*Equal Contribution, Bastian Leibe
IEEE Robotics and Automation Letters (RA-L), 2020
Track to Reconstruct and Reconstruct to Track

Latest Experience

 
 
 
 
 

Research Engineer

Apple

Jun 2026 – Present Cupertino, CA, USA
3D Vision team, Apple Maps.
 
 
 
 
 

Research Scientist Intern

NVIDIA

Apr 2025 – Mar 2026 Zurich, Switzerland
Research on generative models and neural 3D reconstruction.
 
 
 
 
 

Research Scientist Intern

Meta Reality Labs

Jun 2024 – Dec 2024 Zurich, Switzerland
Research on generative models and neural 3D reconstruction.
 
 
 
 
 

Visiting Researcher

BAIR Lab, University of California, Berkeley

Jun 2020 – Nov 2020 CA, USA
Research on 3D Multi-Object Tracking. Remote due to COVID-19 pandemic.

Projects and Activities

 
 
 
 
 

Software Engineer Driverless

EcurieAix, Formula Student Team RWTH Aachen e.V.

Nov 2018 – Sep 2019
Increased the performance of the perception system by 105% and efficiency by 200% by optimizing architecture, training scheme and accelerating inference via TensorRT. 3rd at FS Italy, 7th at FS Germany competitions. Watch the car presentation here.
 
 
 
 
 

UNITECH International Programme

UNITECH International

Aug 2017 – Sep 2018

Unique management and soft skill development for STEM students:

  • Academic Exchange at Trinity College Dublin
  • Internship abroad at KOSTAL Electrica SA, Barcelona
  • Team Building Workshop, INSA Lyon
  • Business Case Study, Politecnico di Milano
  • Closing Week, Chalmers University
  • Professional Coaching

Awards

STEM Award IT

audimax Medien GmbH Oct 2020
1st Prize for an outstanding master thesis in the STEM field. Watch the winner interviews here.

Porsche IT Scholarship

Dr. Ing. h.c. F. Porsche AG Oct 2018 – Sep 2019
Scholarship for excellent IT students issued for the period of one year.

Academic Service

  • Reviewer: NeurIPS, ICCV, ECCV, CVPR, ICRA, IROS, RA-L
  • Workshop Organizer: CVPR'21
  • Challenge Host: CVPR'21, CVPR'22, ECCV'22, CVPR'23

Contact