Dongliang Cao


PhD student at University of Bonn under the supervision of Prof. Dr. Florian Bernard. If you have interest in a Bachelor’s or a Master’s thesis contact me via email. (please read the information for applicants for that). You can also visit my personal page.

Educational Background

  • BSc in Mechatronics at Tongji University (2015 – 2018)
  • BEng in Mechatronics at Zittau Görlitz University of Applied Sciences (2018 – 2019)
  • MSc in Computer Science (Robotics, Cognition, Intelligence) at Technical University of Munich (2019 – 2022)

Research Interests

  • 3D Shape Analysis
  • Deep Learning
  • Computer Vision

Publications:

2025

Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Matching Algorithms
Beyond Complete Shapes: A Benchmark for Quantitative Evaluation of 3D Shape Matching Algorithms
V. Ehm, N. El Amrani, Y. Xie, L. Bastian, M. Gao, W. Wang, L. Sang, D. Cao, T. Weissberg, Z. Lähner, D. Cremers, F. Bernard
In: 2025.
4Deform: Neural Surface Deformation for Robust Shape Interpolation
L. Sang, Z. Canfes, D. Cao, R. Marin, F. Bernard, D. Cremers
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[pdf]
Implicit Neural Surface Deformation with Explicit Velocity Fields
L. Sang, Z. Canfes, D. Cao, F. Bernard, D. Cremers
In: International Conference on Learning Representations (ICLR), 2025.
[pdf]

2024

A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning
N. El Amrani, D. Cao, F. Bernard
In: Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.
[pdf] [code]
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching
D. Cao, Z. Laehner, F. Bernard
In: European Conference on Computer Vision (ECCV), 2024.
[pdf]
DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching
P. Roetzer, A. Abbas, D. Cao, F. Bernard, P. Swoboda
In: European Conference on Computer Vision (ECCV), 2024.
[pdf] [code]
Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation
D. Cao, M. Eisenberger, N. El Amrani, D. Cremers, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[pdf] [code]
Unsupervised 3D Structure Inference from Category-Specific Image Collections
W. Wang, D. Cao, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[pdf]
Revisiting Map Relations for Unsupervised Non-Rigid Shape Matching
D. Cao, P. Roetzer, F. Bernard
In: International Conference on 3D Vision (3DV), 2024.
[pdf]

2023

Unsupervised Learning of Robust Spectral Shape Matching
D. Cao, P. Roetzer, F. Bernard
In: SIGGRAPH / ACM Transactions on Graphics (TOG), 2023.
[pdf] [code] [project page]
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
D. Cao, F. Bernard
In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[pdf] [code]
selected as highlight (2.5% of submissions)

2022

D. Cao, F. Bernard
In: European Conference on Computer Vision (ECCV), 2022.
[pdf] [code]