2 papers
cs.CV2024
Frequency-Guided Multi-Level Human Action Anomaly Detection with Normalizing Flows
Shun Maeda, Chunzhi Gu, Jun Yu +3
We introduce the task of human action anomaly detection (HAAD), which aims to identify anomalous motions in an unsupervised manner given only the pre-determined normal category of…
cs.CV2021
PMSSC: Parallelizable multi-subset based self-expressive model for subspace clustering
Katsuya Hotta, Takuya Akashi, Shogo Tokai +1
Subspace clustering methods which embrace a self-expressive model that represents each data point as a linear combination of other data points in the dataset provide powerful unsup…