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In-Context-Learning-Assisted Quality Assessment Vision-Language Models for Metal Additive Manufacturing
Qiaojie Zheng, Jiucai Zhang, Xiaoli Zhang
Vision-based quality assessment in additive manufacturing often requires dedicated machine learning models and application-specific datasets. However, data collection and model tra…
QA-VLM: Providing human-interpretable quality assessment for wire-feed laser additive manufacturing parts with Vision Language Models
Qiaojie Zheng, Jiucai Zhang, Joy Gockel +3
Image-based quality assessment (QA) in additive manufacturing (AM) often relies heavily on the expertise and constant attention of skilled human operators. While machine learning a…
Enhancing accuracy of uncertainty estimation in appearance-based gaze tracking with probabilistic evaluation and calibration
Qiaojie Zheng, Jiucai Zhang, Xiaoli Zhang
Accurately knowing uncertainties in appearance-based gaze tracking is critical for ensuring reliable downstream applications. Due to the lack of individual uncertainty labels, curr…
Confidence-aware 3D Gaze Estimation and Evaluation Metric
Qiaojie Zheng, Xiaoli Zhang
Deep learning appearance-based 3D gaze estimation is gaining popularity due to its minimal hardware requirements and being free of constraint. Unreliable and overconfident inferenc…