3 papers
cs.CV2026
Optimizing Multi-Modal Models for Image-Based Shape Retrieval: The Role of Pre-Alignment and Hard Contrastive Learning
Paul Julius Kühn, Cedric Spengler, Michael Weinmann +2
Image-based shape retrieval (IBSR) aims to retrieve 3D models from a database given a query image, hence addressing a classical task in computer vision, computer graphics, and robo…
cs.CV2025
6D Strawberry Pose Estimation: Real-time and Edge AI Solutions Using Purely Synthetic Training Data
Saptarshi Neil Sinha, Julius Kühn, Mika Silvan Goschke +1
Automated and selective harvesting of fruits has become an important area of research, particularly due to challenges such as high costs and a shortage of seasonal labor in advance…
cs.CV2025
Neural Restoration of Greening Defects in Historical Autochrome Photographs Based on Purely Synthetic Data
Saptarshi Neil Sinha, P. Julius Kuehn, Johannes Koppe +2
The preservation of early visual arts, particularly color photographs, is challenged by deterioration caused by aging and improper storage, leading to issues like blurring, scratch…