5 papers
SCoPE: Training-Free Audio-Visual Event Perception via Sparse Cross-Modal Prior Exchange
Jaemo Jeong, Junho Yoon, Hyunju Kim +1
Audio-visual event perception (AVEP) determines which events occur in a video, when they occur, and whether they are audible, visible, or both. Training-free methods query new even…
DETACH : Decomposed Spatio-Temporal Alignment for Exocentric Video and Ambient Sensors with Staged Learning
Junho Yoon, Jaemo Jung, Hyunju Kim +1
Aligning egocentric video with wearable sensors have shown promise for human action recognition, but face practical limitations in user discomfort, privacy concerns, and scalabilit…
DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition
Hyunju Kim, Geon Kim, Taehoon Lee +2
With the advancement of IoT technology, recognizing user activities with machine learning methods is a promising way to provide various smart services to users. High-quality data w…
Self-supervised New Activity Detection in Sensor-based Smart Environments
Hyunju Kim, Dongman Lee
With the rapid advancement of ubiquitous computing technology, human activity analysis based on time series data from a diverse range of sensors enables the delivery of more intell…
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space
Hyunju Kim, Heesuk Son, Dongman Lee
Human activity recognition (HAR) is a key challenge in pervasive computing and its solutions have been presented based on various disciplines. Specifically, for HAR in a smart spac…