16.06.2023
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)
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
Semidefinite Relaxations for Robust Multiview Triangulation.
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
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
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
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
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
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
©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
04.12.2025
World’s First Complete 3D Model of All Buildings Released
Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.
04.12.2025
When to Say "I’m Not Sure": Making Language Models More Self-Aware
ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.
28.11.2025
MCML at NeurIPS 2025
MCML researchers are represented with 46 papers at NeurIPS 2025 (37 Main, and 9 Workshops).
27.11.2025
Seeing the Bigger Picture – One Detail at a Time
FLAIR, introduced by Zeynep Akata’s group at CVPR 2025, brings fine-grained, text-guided detail recognition to vision-language models.