1 citations · 1 across the 9 of their papers we have counts for
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Curating Synthetic Data for Task-Specific Visual Perception
Saptarshi Neil Sinha, Paul Julius Kühn, Michael Weinmann
Synthetic data are most valuable where general-purpose datasets cannot provide the domain-specific priors a task requires, and where manual annotation is expensive, imprecise, or i…
SpectralCTGaussians: Projection-Domain Reconstruction and Basis Material Decomposition for Spectral CT using 3D Gaussian Splatting
Reinout Vos, Saptarshi Neil Sinha, Michael Weinmann
Spectral computed tomography (CT) extends conventional CT by measuring attenuation across multiple energy channels, allowing improved modeling of physical X-ray interactions and en…
AgenticCADedit: A Stateful, Tool-Mediated Agentic Approach to Multimodal 3D CAD Editing
Saptarshi Neil Sinha, Mika Silvan Goschke, Paul Julius Kühn +2
Computer-aided design is central to industrial manufacturing, and much of a designer's daily work consists of editing existing models from multimodal requests involving speech, ske…
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, Saptarshi Neil Sinha, Tiago Kleist +3
While automated defect detection such as the detection of surface scratched is an important aspect in industrial quality control, the scarcity of annotated defect data make this ta…
A Human-in-the-Loop Deep Learning Framework for Color Reconstruction of Lenticular Films
Saptarshi Neil Sinha, Tiago Kleist, Giorgio Trumpy
Historical lenticular films, such as those created with the Kodacolor process, encode color information in a distinctive spatial format. This structure requires specialized techniq…
Human-in-the-Loop Atlas-Based 3D Asset Segmentation for Interactive Content Workflows
Paul Julius Kühn, Saptarshi Neil Sinha, Jakob Hansen +1
Segmenting 3D assets into meaningful regions remains challenging, especially when segmentation criteria are application-dependent and require user control. We present a human-in-th…
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…
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…
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…
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…
SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysis
Saptarshi Neil Sinha, Holger Graf, Michael Weinmann
We propose a novel cross-spectral rendering framework based on 3D Gaussian Splatting (3DGS) that generates realistic and semantically meaningful splats from registered multi-view s…