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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CV2026

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…

cs.CV2026

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…

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…