40 citations · 62 across the 5 of their papers we have counts for
5 papers
Safe-Construct: Redefining Construction Safety Violation Recognition as 3D Multi-View Engagement Task
Aviral Chharia, Tianyu Ren, Tomotake Furuhata +1
Recognizing safety violations in construction environments is critical yet remains underexplored in computer vision. Existing models predominantly rely on 2D object detection, whic…
Improving Deep Learning-based Defect Detection on Window Frames with Image Processing Strategies
Jorge Vasquez, Hemant K. Sharma, Tomotake Furuhata +1
Detecting subtle defects in window frames, including dents and scratches, is vital for upholding product integrity and sustaining a positive brand perception. Conventional machine…
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Wentai Zhang, Joe Joseph, Yue Yin +5
We present a data-driven framework to automate the vectorization and machine interpretation of 2D engineering part drawings. In industrial settings, most manufacturing engineers st…
Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation
Liuyue Xie, Tomotake Furuhata, Kenji Shimada
In this paper, we propose a multi-resolution deep-learning architecture to semantically segment dense large-scale pointclouds. Dense pointcloud data require a computationally expen…
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders
Wentai Zhang, Zhangsihao Yang, Haoliang Jiang +5
We propose a data-driven 3D shape design method that can learn a generative model from a corpus of existing designs, and use this model to produce a wide range of new designs. The…