From the 1 of 10 linked papers with an AI index.
10 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…
Beyond Reprojection Error: Camera Calibration with 3D Targets
Dennis Ruppel, Hasan Kutlu, Kai A. Neumann +4
In 3D reconstruction, camera calibration is an essential element for achieving high fidelity and accuracy of the reconstructed geometry. While existing approaches rely upon 2D plan…
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…
SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection
Paul Julius Kühn, Mika Pommeranz, Arjan Kuijper +1
Industrial surface defect inspection suffers from a fundamental data bottleneck: defects are rare, annotations require expert knowledge, and collecting balanced training sets is sl…
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…
RangeSAM: On the Potential of Visual Foundation Models for Range-View represented LiDAR segmentation
Paul Julius Kühn, Duc Anh Nguyen, Arjan Kuijper +1
Point cloud segmentation is central to autonomous driving and 3D scene understanding. While voxel- and point-based methods dominate recent research due to their compatibility with…