activity
20172024
most citedCalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator

44 citations · 82 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2024

SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders

Sheng-Wei Li, Zi-Xiang Wei, Wei-Jie Chen +3

Existing zero-shot skeleton-based action recognition methods utilize projection networks to learn a shared latent space of skeleton features and semantic embeddings. The inherent i…

cs.CV2020★ 44 cited

CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator

Shan-Jean Wu, Chih-Yuan Yang, Jane Yung-jen Hsu

Chinese calligraphy is the writing of Chinese characters as an art form performed with brushes so Chinese characters are rich of shapes and details. Recent studies show that Chines…

cs.CR2020★ 3 cited

Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection

Chih-Yuan Yang, Ravi Sahita

The damage caused by crypto-ransomware, due to encryption, is difficult to revert and cause data losses. In this paper, a machine learning (ML) classifier was built to early detect…

cs.CV2019

A Mobile Robot Generating Video Summaries of Seniors' Indoor Activities

Chih-Yuan Yang, Heeseung Yun, Srenavis Varadaraj +1

We develop a system which generates summaries from seniors' indoor-activity videos captured by a social robot to help remote family members know their seniors' daily activities at…

cs.LG2018★ 21 cited

Towards resilient machine learning for ransomware detection

Li Chen, Chih-Yuan Yang, Anindya Paul +1

There has been a surge of interest in using machine learning (ML) to automatically detect malware through their dynamic behaviors. These approaches have achieved significant improv…

cs.CR2017★ 14 cited

Semi-supervised classification for dynamic Android malware detection

Li Chen, Mingwei Zhang, Chih-Yuan Yang +1

A growing number of threats to Android phones creates challenges for malware detection. Manually labeling the samples into benign or different malicious families requires tremendou…