3 citations · 3 across the 3 of their papers we have counts for
3 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.NE2023
A Multi-In and Multi-Out Dendritic Neuron Model and its Optimization
Yu Ding, Jun Yu, Chunzhi Gu +2
Artificial neural networks (ANNs), inspired by the interconnection of real neurons, have achieved unprecedented success in various fields such as computer vision and natural langua…
cs.CV2022★ 3 cited
Learning Disentangled Representations for Controllable Human Motion Prediction
Chunzhi Gu, Jun Yu, Chao Zhang
Generative model-based motion prediction techniques have recently realized predicting controlled human motions, such as predicting multiple upper human body motions with similar lo…