First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset

First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset

by | 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...
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

by | 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...
CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

by | Jul 3, 2020 | 2020, Fengming He, Karthik Ramani, Karthik Ramani, Ke Huo, Publications, Recent Publications, Tianyi Wang, Xun Qian, Yuanzhi Cao

Recognition of human behavior plays an important role in context-aware applications. However, it is still a challenge for end-users to build personalized applications that accurately recognize their own activities. Therefore, we present CAPturAR, an in-situ...