activity
20242026
most citedMultimodal Object Detection using Depth and Image Data for Manufacturing Parts

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling

Saleh Valizadeh Sotubadi, Nazanin Mahjourian, Vinh Nguyen

This study contributes toward development of an Automated Data Processing (ADP) framework designed to evaluate and reinforce optimal machine learning model-feature combinations for…

cs.CV2025

Few-Shot VLM-Based G-Code and HMI Verification in CNC Machining

Yasaman Hashem Pour, Nazanin Mahjourian, Vinh Nguyen

Manual generation of G-code is important for learning the operation of CNC machines. Prior work in G-code verification uses Large-Language Models (LLMs), which primarily examine er…

cs.CV2025

Vision-Language Models for Infrared Industrial Sensing in Additive Manufacturing Scene Description

Nazanin Mahjourian, Vinh Nguyen

Many manufacturing environments operate in low-light conditions or within enclosed machines where conventional vision systems struggle. Infrared cameras provide complementary advan…

cs.CV2025

Sanitizing Manufacturing Dataset Labels Using Vision-Language Models

Nazanin Mahjourian, Vinh Nguyen

The success of machine learning models in industrial applications is heavily dependent on the quality of the datasets used to train the models. However, large-scale datasets, speci…

cs.CV20241 cited

Multimodal Object Detection using Depth and Image Data for Manufacturing Parts

Nazanin Mahjourian, Vinh Nguyen

Manufacturing requires reliable object detection methods for precise picking and handling of diverse types of manufacturing parts and components. Traditional object detection metho…

eess.IV2024

Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images

Mohammad Ali Labbaf Khaniki, Nazanin Mahjourian, Mohammad Manthouri

Lung segmentation in chest X-ray images is a critical task in medical image analysis, enabling accurate diagnosis and treatment of various lung diseases. In this paper, we propose…