Florian Schiffers
Florian A. Schiffers

Florian A. Schiffers

Ph.D. Candidate (CS)

Northwestern University

I’m a Ph.D. candidate in Computer Science at Northwestern University specializing in AI-driven algorithms for Computational Photography, Display and Imaging. I’m mentored by my main advisor Prof. Oliver Cossairt and co-advised by Prof. Aggelos Katsaggelos. My PhD thesis focuses on optimization-based methods in next-generation 3D displays, and I also hold a keen interest in exploring topics in Computer Vision, Inverse Problems, and Medical Imaging.

Before delving into my Ph.D., I earned my Masters in Physics in Erlangen and worked at Siemens Healthineers. During my PhD, I had the opportunity to work with Reality Labs, Meta, where I extensively collaborated with Doug Lanman, Grace Kuo, Felix Heide and Nathan Matsuda to contribute to the evolution of holographic near-eye displays. Additionally, I have had the enriching experience of being a full instructor for several courses at Northwestern.

Interests
  • Computational Photography/Imaging/Display
  • Generative AI and Machine Learning
  • Computer Vision
Education
  • PhD in Computer Science, 2024

    Northwestern University

  • MSc in Physics, 2018

    FAU Erlangen, Germany

  • MSc in Advanced Optical Technologies, 2017

    FAU Erlangen, Germany

Selected Publications

MultiSource HolographyMultiSource Holography
Grace Kuo, Florian Schiffers, Douglas Lanman, Oliver Cossairt, and Nathan Matsuda SIGGRAPH ASIA 2023
arXiv | Supplement
We propose an architecture for speckle reduction in holographic displays that uses an array of mutually incoherent sources and two sequential spatial light modulators. Multisource holography can suppress speckle in a single frame without sacrificing resolution.
Stochastic Lightfield HolographyStochastic Lightfield Holography
Florian Schiffers, Praneeth Chakravarthula, N. Matsuda, G. Kuo, E. Tseng, D. Lanman, F. Heide, Oliver Cossairt ICCP 2023
arXiv | Supplement
Our novel hologram generation algorithm enhances the realism of near-eye displays by matching the projection operators of incoherent (Light Field) and coherent (Wigner Function) light transport. By supervising hologram computation with on-the-fly synthesized photographs using Light Field refocusing, our method significantly improves image quality and viewing experience across diverse pupil states.
2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network2-Step Sparse-View CT Reconstruction with a Domain-Specific Perceptual Network
Florian Schiffers*, Haoyu Wei*, Tobias Wuerfl, Daming Shen, Daniel Kim, Aggelos Katsaggelos, Oliver Cossairt
arXiv | Supplement
Our novel framework for sparse-view computed tomography overcomes the challenges of angular undersampling by using a super-resolution network and a refinement network, resulting in high-quality reconstructions with significantly reduced streak artifacts. Our method enhances domain-specific information and demonstrates a 4 dB improvement over current solutions.
Selfvi Self-Supervised Light-Field Video Reconstruction from Stereo VideoSelfvi Self-Supervised Light-Field Video Reconstruction from Stereo Video
Prasan Shedligeri, Florian Schiffers, Sushobhan Ghosh, Oliver Cossairt, Kaushik Mitra ICCV 2021
paper | Supplement
Light- field imaging is attractive for mobile devices due to its intuitive post-capture processing, though acquiring high-quality LF data is challenging with space constraints. We propose a self-supervised algorithm for reconstructing high-fidelity LF videos from stereo videos, leveraging geometric and temporal information and enables applications like post-capture focus control.

Contact

Florian A. Schiffers
Florian A. Schiffers
Ph.D. Candidate (CS)

My research interests revolve around Computational Photography, Medical Imaging, and Computational Displays.