2 citations · 4 across the 4 of their papers we have counts for
4 papers
A Multi-Stage Hybrid Framework for Automated Interpretation of Multi-View Engineering Drawings Using Vision Language Model
Muhammad Tayyab Khan, Zane Yong, Lequn Chen +3
Engineering drawings are fundamental to manufacturing communication, serving as the primary medium for conveying design intent, tolerances, and production details. However, interpr…
Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction
Muhammad Tayyab Khan, Lequn Chen, Ye Han Ng +3
Geometric Dimensioning and Tolerancing (GD&T) plays a critical role in manufacturing by defining acceptable variations in part features to ensure component quality and functionalit…
Leveraging Vision-Language Models for Manufacturing Feature Recognition in CAD Designs
Muhammad Tayyab Khan, Lequn Chen, Ye Han Ng +3
Automatic feature recognition (AFR) is essential for transforming design knowledge into actionable manufacturing information. Traditional AFR methods, which rely on predefined geom…
Automatic Feature Recognition and Dimensional Attributes Extraction From CAD Models for Hybrid Additive-Subtractive Manufacturing
Muhammad Tayyab Khan, Wenhe Feng, Lequn Chen +3
The integration of Computer-Aided Design (CAD), Computer-Aided Process Planning (CAPP), and Computer-Aided Manufacturing (CAM) plays a crucial role in modern manufacturing, facilit…