16.06.2023
MCML at CVPR 2023
Eight Accepted Papers
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, Jun 18-23, 2023
We are happy to announce that MCML researchers have contributed a total of 8 papers to CVPR 2023. Congrats to our researchers!
Main Track (8 papers)
M. Eisenberger • A. Toker • L. Leal-Taixé • D. Cremers
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI GitHub
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI GitHub
L. Härenstam-Nielsen • N. Zeller • D. Cremers
Semidefinite Relaxations for Robust Multiview Triangulation.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Semidefinite Relaxations for Robust Multiview Triangulation.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
D. Kotovenko • P. Ma • T. Milbich • B. Ommer
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Y. Mansour • R. Heckel
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
D. Muhle • L. Koestler • K. M. Jatavallabhula • D. Cremers
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
J. Seidenschwarz • G. Braso • V. C. Serrano • I. Elezi • L. Leal-Taixé
Simple Cues Lead to a Strong Multi-Object Tracker.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI GitHub
Simple Cues Lead to a Strong Multi-Object Tracker.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI GitHub
S. Weber • N. Demmel • T. Chon Chan • D. Cremers
Power Bundle Adjustment for Large-Scale 3D Reconstruction.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Power Bundle Adjustment for Large-Scale 3D Reconstruction.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
F. Wimbauer • N. Yang • C. Rupprecht • D. Cremers
Behind the Scenes: Density Fields for Single View Reconstruction.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Behind the Scenes: Density Fields for Single View Reconstruction.
CVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Vancouver, Canada, Jun 18-23, 2023. DOI
Related
11.05.2026
Cordelia Schmid Featured in Süddeutsche Zeitung
Cordelia Schmid, a member of the MCML Advisory Board, was recently featured in Süddeutsche Zeitung for her work in computer vision and robotics.
08.05.2026
Right Answer, Wrong Reasoning - Is AI Thinking or Cheating?
Can AI cheat without us noticing? Our PI Barbara Plank and her team introduce a new detection method at ICLR 2026.
07.05.2026
MCML Delegation Visit to the UK
MCML delegation visited top U.S. universities to advance AI X-Change and foster collaboration in generative and medical AI.