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 infeasible. In this article we argue that the central question for specialized vision systems is not how to generate more data, but which dat...
Saptarshi Neil Sinha, P. Kühn, M. Weinmann· 0 citations
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, sketches, and model interaction. Existing neural CAD approaches focus predominantly on unconditional or text-conditioned generation. The neural...
Saptarshi Neil Sinha, Mika Silvan Goschke, P. Kühn et al.· 0 citations
Spectral computed tomography (CT) extends conventional CT by measuring attenuation across multiple energy channels, allowing improved modeling of physical X-ray interactions and energy-dependent material behavior and leading to richer scene understanding. We present a novel method for spectral CT reconstruction and bas...
Reinout Vos, Saptarshi Neil Sinha, M. Weinmann· 1 citation
TinyDETR-Pose is presented, a lightweight, end-to-end, single-stage framework that jointly detects objects and regresses their full 6D pose in a single forward pass, demonstrating that accurate end-to-end transformer-based 6D pose estimation can be made practical for edge deployment.
P. Kühn, Duc Anh Nguyen, Saptarshi Neil Sinha et al.· 0 citations
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