by Sangpil Kim | Aug 28, 2020 | 2020, Future of Work, Hyunggun Chi, Karthik Ramani, Publications, Recent Publications, Sangpil Kim
Abstract: We propose a conditional generative model, named Part Geometry Network (PG-Net), which synthesizes realistic objects and can be used as a robust feature descriptor for object reconstruction and classification. Surface and volumetric representations of...
by Sangpil Kim | Aug 7, 2020 | 2020, Convergence Accelerator, Future of Work, Hyunggun Chi, Karthik Ramani, Publications, Recent Publications, Sangpil Kim
Abstract: First-person-view videos of hands interacting with tools are widely used in the computer vision industry. However, creating a dataset with pixel-wise segmentation of hands is challenging since most videos are captured with fingertips occluded by the hand...
by Sangpil Kim | Jul 3, 2020 | 2020, CISE Research Infrastructure, Convergence Accelerator, Future of Work, Hyunggun Chi, Karthik Ramani, Karthik Ramani, Publications, Recent Publications, Sangpil Kim
We introduce a large-scale annotated mechanical components benchmark for classification and retrieval tasks named Mechanical Components Benchmark (MCB): a large-scale dataset of 3D objects of mechanical components. The dataset enables data-driven feature learning for...
by Sangpil Kim | Nov 15, 2019 | 2019, Hyunggun Chi, Karthik Ramani, Publications, Recent Publications, Sangpil Kim
We propose a fully convolutional conditional generative neural network, the latent transformation neural network, capable of rigid and non-rigid object view synthesis using a lightweight architecture suited for real-time applications and embedded systems. In contrast...
