From the 1 of 5 linked papers with an AI index.
5 papers
TinyDETR-Pose: Towards End-to-End Real-Time Single-Stage 6DoF Object Pose Estimation with Lightweight Transformers
Paul Julius Kühn, Duc Anh Nguyen, Saptarshi Neil Sinha +2
Real-time 6DoF object pose estimation on resource-constrained hardware remains challenging, as accurate correspondence-based and refinement pipelines typically rely on non-differen…
ScratchSim: A Procedural Synthetic Data Pipeline for Surface Scratch Detection
Paul Julius Kühn, Paul Julius Kühn, Saptarshi Neil Sinha +4
The paper introduces ScratchSim, a procedural rendering pipeline that creates large synthetic datasets for training surface scratch detectors, and shows that models fine‑tuned from…
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…
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…
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…