23 citations · 91 across the 16 of their papers we have counts for
6 papers · 1 filter
3d human motion generation from the text via gesture action classification and the autoregressive model
Gwantae Kim, Youngsuk Ryu, Junyeop Lee +3
In this paper, a deep learning-based model for 3D human motion generation from the text is proposed via gesture action classification and an autoregressive model. The model focuses…
Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition
Han Chen, Yifan Jiang, Hanseok Ko
Graph convolutional networks (GCNs), which can model the human body skeletons as spatial and temporal graphs, have shown remarkable potential in skeleton-based action recognition.…
Controllable Face Manipulation and UV Map Generation by Self-supervised Learning
Yuanming Li, Jeong-gi Kwak, David Han +1
Although manipulating facial attributes by Generative Adversarial Networks (GANs) has been remarkably successful recently, there are still some challenges in explicit control of fe…
Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments
Youngsaeng Jin, David K. Han, Hanseok Ko
With the availability of many datasets tailored for autonomous driving in real-world urban scenes, semantic segmentation for urban driving scenes achieves significant progress. How…
CPNet: Cross-Parallel Network for Efficient Anomaly Detection
Youngsaeng Jin, Jonghwan Hong, David Han +1
Anomaly detection in video streams is a challenging problem because of the scarcity of abnormal events and the difficulty of accurately annotating them. To alleviate these issues,…
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
Jeong-gi Kwak, David K. Han, Hanseok Ko
The goal of face attribute editing is altering a facial image according to given target attributes such as hair color, mustache, gender, etc. It belongs to the image-to-image domai…