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SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
Human Activity Recognition (HAR) is a well-studied field with research dating back to the 1980s.
FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing
Our work addresses limitations seen in previous approaches for object-centric editing problems, such as unrealistic results due to shape discrepancies and limited control in object replacement or insertion.
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
Various types of sensors can be used for Human Activity Recognition (HAR), and each of them has different strengths and weaknesses.
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Human Activity Recognition
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