Search Results for author: Tomotake Furuhata

Found 5 papers, 1 papers with code

Improving Deep Learning-based Defect Detection on Window Frames with Image Processing Strategies

no code implementations13 Sep 2023 Jorge Vasquez, Hemant K. Sharma, Tomotake Furuhata, Kenji Shimada

The paper proposes a new defect detection pipeline called InspectNet (IPT-enhanced UNET) that includes the best combination of image enhancement and augmentation techniques for pre-processing the dataset and a Unet model tuned for window frame defect detection and segmentation.

Defect Detection Image Augmentation +1

Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation

no code implementations18 Sep 2020 Liuyue Xie, Tomotake Furuhata, Kenji Shimada

We present MuGNet, a memory-efficient, end-to-end graph neural network framework to perform semantic segmentation on large-scale pointclouds.

Graph Neural Network Segmentation +1

3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders

no code implementations16 Apr 2019 Wentai Zhang, Zhangsihao Yang, Haoliang Jiang, Suyash Nigam, Soji Yamakawa, Tomotake Furuhata, Kenji Shimada, Levent Burak Kara

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.

3D Shape Representation Decoder

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