Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Accepted), 2023
Curriculum Vitae
You can download a densified pdf version of my CV here (updated Aug 22).
Education
- Ph.D (Dr. rer. nat.) (summa cum laude) in Computer Science
- Technical University of Munich, 2021
- M.Sc. (with distinction) in Computer Science
- Technical University of Munich, 2015
- B.Sc. in Computer Science
- University of Bonn, 2013
Academic Experience
- Since 2021: Postdoctoral Researcher
- Computer Vision Group, University of Siegen
- Supervisor: Prof. Dr. Michael Moeller
- 2015-2021: Researcher/PhD Candidate
- Computer Vision and Artificial Intelligence Group, Technical University of Munich
- Supervisor: Prof. Dr. Daniel Cremers
- 2019: Research Intern
- Toshiba Research Europe, Cambridge
- Supervisor: Dr. Roberto Mecca
- 2019: Visiting Researcher with a DAAD Short-Term Scholarship for PhD students
- Geometry, Learning and Applied AI Group, Sapienza Università di Roma
- Supervisor: Prof. Dr. Emanuele Rodolà
- 2017-2018: Research Intern
- Facebook Reality Labs, Sausalito
- Supervisor: Dr. Tony Tung
- 2017: Visiting Researcher
- VISTA Lab, Technion - Israel Institute of Technology
- Supervisor: Prof. Dr. Alex Bronstein
- 2015: Student Researcher
- Computer Vision Group, Technical University of Munich
- Supervisor: Prof. Dr. Emanuele Rodolà
Funding
- 2023-2026: DFG Sachbeihilfe for the project “Robust Spectral Non-Rigid Shape Correspondences” funding a PhD student for three years (310k Euro)
- 2022-2024: KI-Starter grant from the ministry for culture and science in NRW for the two year project “Robust Geometric Deep Learning” (170k Euro)
- 2019: DAAD Short-Term Scholarship for PhD students funding a two months research visit at Sapienza Università di Roma (3k Euro)
Publications
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
Published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Accepted), 2023
QuAnt: Quantum Annealing with Learnt Couplings
Published in International Conference on Learning Representations (ICLR), 2023
A Simple Strategy to Make Neural Networks Provably Invariant
Published in Asian Conference on Computer Vision (ACCV), 2022
Intrinsic Neural Fields: Learning Functions on Manifolds
Published in European Conference on Computer Vision (ECCV), 2022
Light-Weight Learning-Based Depth Estimation From A Single Image
Published in ATHENA Research Book, 2022
Continuous Correspondence of Non-Rigid 3D Shapes
Published in PhD Thesis, TUM University Press, 2021
Systems and Methods for Generating Accurate and Realistic Clothing Models with Wrinkles
Published in US Patent 11158121, 2021
Q-Match: Iterative Shape Matching via Quantum Annealing
Published in International Conference on Computer Vision (ICCV), 2021
Isometric Multi-Shape Matching
Published in Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Unsupervised Dense Shape Correspondence using Heat Kernels
Published in Conference on 3D Vision (3DV), 2020
Simulated Annealing for 3D Shape Correspondence
Published in Conference on 3D Vision (3DV), 2020
Smooth Shells: Multi-Scale Shape Registration with Functional Maps
Published in Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Functional Maps Representation on Product Manifolds
Published in Computer Graphics Forum (CGF), 2019
Divergence-Free Shape Correspondence by Deformation
Published in Symposium on Geometry Processing (SGP), 2019
DeepWrinkles: Accurate and Realistic Clothing Modeling
Published in European Conference on Computer Vision (ECCV), 2018
Efficient Deformable Shape Correspondence via Kernel Matching
Published in International Conference on 3D Vision (3DV), 2017
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Published in Conference on Computer Vision and Pattern Recognition (CVPR), 2016
SHREC’16: Matching of Deformable Shapes with Topological Noise
Published in Eurographics Workshop on 3D Object Retrieval (3DOR), 2016
Committees
- ICIAP 2023 (Area Chair)
- Matteo Dellepiane Award 2021 (Best Thesis Award Comittee)
- French German Machine Learning Symposium 2021 (Program & Website Chair)
Reviewing
Outstanding Reviewer Award 3DV 2021 and ECCV 2022
Conferences
- CVPR 2016-2020, 2022-2023
- 3DV 2016-2022
- BMVC 2016-2018
- NeurIPS 2019-2020
- ICCV 2019-2021
- ECCV 2020-2022
- SIGGRAPH 2020-2021, 2023
- WACV 2021
- ICLR 2022
- STAG 2021
Workshops
- MVR3D 2017 (WS@ICCV)
- GMDL 2017-2018 (WS@ICCV/ECCV)
- 3DRWi 2018 (WS@ECCV)
Journals
- IJCV (International Journal of Computer Vision)
- JVCI (Journal of Visual Communication and Image Representation)
- JMIV (Journal of Mathematical Imaging and Vision)
- CAG (Computers & Graphics)
Talks
Intrinsic Neural Fields: Learning Functions on Manifolds
Invited Talk at Mathematics and Image Analysis (MIA), Berlin, Germany
3D Shape Correspondences
Invited Talk at 3D Study Day University of Hamburg, Virtual
Deciding between Industry and Academia
Invited Talk at STAG - PhD Consortium, Virtual
Continuous Correspondence of Non-Rigid 3D Shapes
PhD Defense at Technical University of Munich, Virtual
Non-Rigid Shape Correspondence Through Deformation
Invited Talk at Max Planck Institute for Informatics Tübingen, Virtual
Continuity in Non-Rigid Correspondence
Invited Talk at Women in Vision Siegen, Siegen, Germany
Smooth Shells: Multi-Scale Shape Registration with Functional Maps
Invited Talk at Ecole Polytechnique Paris, Virtual
Divergence-Free Correspondence by Deformation
Invited Talk at Sapienza Università di Roma, Rome, Italy
Computer Vision in 3D
Studieninfotag at Technical University of Munich, Garching, Germany
DeepWrinkles: Accurate and Realistic Cloth Modeling
Invited Talk at Max Planck Institute for Informatics, Saarbrücken, Germany
Divergence-Free Shape Correspondence and Interpolation
Dagstuhl Seminar at Schloss Dagstuhl, Leibniz Center for Informatics, Wadern, Germany
DeepWrinkles: Accurate and Realistic Cloth Modeling
Conference Talk at European Conference on Computer Vision (ECCV), Munich, Germany
Accurate and Realistic Cloth Modeling with Real-Data
Rank Prize Funds Symposium at The Wordsworth Hotel, Grasmere, UK
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Invited Talk at Technion - Israel Institute for Technology, Haifa, Israel
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Invited Talk at Tel Aviv University, Tel Aviv, Israel
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Dagstuhl Seminar at Schloss Dagstuhl, Leibniz Center for Informatics, Wadern, Germany
SHREC’16: Matching under Topological Noise
Workshop Talk at Eurographics Workshop on 3D Object Retrieval (3DOR), Lisbon, Portugal
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Invited Talk at Intel, Santa Clara, California
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Invited Talk at Standford University, Stanford, California