activity
20162023
most citedUnsupervised domain adaptation based COVID-19 CT infection segmentation network

30 citations · 173 across the 35 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

cs.CV2022

Single Cell Training on Architecture Search for Image Denoising

Bokyeung Lee, Kyungdeuk Ko, Jonghwan Hong +1

Neural Architecture Search (NAS) for automatically finding the optimal network architecture has shown some success with competitive performances in various computer vision tasks. H…

cs.CV2022

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…

eess.AS2022★ 6 cited

Discriminatory and orthogonal feature learning for noise robust keyword spotting

Donghyeon Kim, Kyungdeuk Ko, David K. Han +1

Keyword Spotting (KWS) is an essential component in a smart device for alerting the system when a user prompts it with a command. As these devices are typically constrained by comp…

cs.CV2022

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.…

cs.CV2022★ 1 cited

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…

cs.CV2022★ 1 cited

Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis

Jeong-gi Kwak, Yuanming Li, Dongsik Yoon +3

Over the years, 2D GANs have achieved great successes in photorealistic portrait generation. However, they lack 3D understanding in the generation process, thus they suffer from mu…

cs.CV2022★ 4 cited

Generate and Edit Your Own Character in a Canonical View

Jeong-gi Kwak, Yuanming Li, Dongsik Yoon +2

Recently, synthesizing personalized characters from a single user-given portrait has received remarkable attention as a drastic popularization of social media and the metaverse. Th…

eess.AS2022

Efficient dynamic filter for robust and low computational feature extraction

Donghyeon Kim, Gwantae Kim, Bokyeung Lee +3

Unseen noise signal which is not considered in a model training process is difficult to anticipate and would lead to performance degradation. Various methods have been investigated…