Skip to main content

Chang-Dong You

Korea Advanced Institute of Science and Technology · Computer Science

About the Lab

Professor Chang-Dong You's research lab specializes in intelligent robotics and signal processing, focusing on the development of ubiquitous robotic systems and advanced digital filter design. The lab pioneers integrated robotic platforms such as Ubibot, combining software, embedded, and mobile robots to enable context-aware, networked human-robot interaction. Additionally, the lab conducts cutting-edge research in digital signal processing, particularly in designing stable, high-performance IIR filter banks for applications like acoustic echo cancellation. The lab's work bridges robotics, embedded systems, and signal processing to create smart, adaptive systems for real-world environments.

ubiquitous roboticsIIR filter bankacoustic echo cancellationcontext-aware systemsembedded robotics

Research Overview

Papers
13
Total Citations
0
Papers (5y)
13
Primary Field
Computer Science

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
13total
2002
2005
2017
2018
2019
Citations per year (5y)
0total
20022005201720182019

Selected Papers

13
1
Article|0 citations·2018
Associative Scene Semantic Segmentation
Hyou Jeong Han, Hyung Woo Park, Chang-Dong Yoo
Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science
2
Article|0 citations·2017
Partial person re-identification using Convolutional neural network and Attention model
JunYeong Kim, HouJeung Han, Chang-Dong Yoo
International Conference on Image Processing
Computer Vision and Pattern RecognitionComputer Science
3
Article|0 citations·2005
Implementation of Ubiquitous Robot in a Networked Environment
Jong-Hwan Kim, Ju-Jang Lee, Hyun-Seng Yang, Yung‐Hwan Oh, Chang-Dong Yoo, Jang-Myung Lee, Min Cheol Lee, Myung‐Seok Kim, Kanghee Lee
Journal of Control Automation and Systems EngineeringOA

This paper proposes a ubiquitous robot, Ubibot, as an integration of three forms of robots: Software robot (Sobot), Embedded robot (Embot) and Mobile robot (Mobot). A Sobot is a virtual robot, which has the ability to move to any place or connect to any device through a network in order to overcome spatial limitations. It has the capacity to interpret the context and thus interact with the user. An Embot is embedded within the environment or within physical robots. It can recognize the locations

Computer Vision and Pattern RecognitionComputer Science
4
Article|0 citations·2017
Texture guidance network for single image super resolution
Hyung Woo Park, Sang Hyuk Park, Chang-Dong Yoo
International Conference on Image Processing
Computer Vision and Pattern RecognitionComputer Science
5
Article|0 citations·2017
Deep Partial Person-Reidentification via Attention Model
Jun-Yeong Kim, Chang-Dong Yoo
International Conference on Image Processing
Computer Vision and Pattern RecognitionComputer Science
6
Article|0 citations·2018
Deep Spiral Convolution Neural Network: A Fully End-to-End Texture Enhanced Multi-scale Super-Resolution Network
Sang Hyuk Park, Hyung Woo Park, Chang-Dong Yoo
Computer Vision and Pattern Recognition
GeophysicsEarth and Planetary Sciences
7
Article|0 citations·2018
Multi-scale Deep Recurrent Network for Non-blind Single Image Deblurring
Sang Hyuk Park, Chang-Dong Yoo
Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science
8
Article|0 citations·2019
The Impact of Content and Adversarial Losses on Super-Resolution
Tung M. Luu, Chang-Dong Yoo
Computer Vision and Pattern RecognitionComputer Science
9
Article|0 citations·2002
Design of M-Channel IIR Cosine-Modulated Filter Bank and Application to Acoustic Echo Cancellation
Sang‐Gyun Kim, Chang-Dong Yoo
Journal of the Institute of Electronics Engineers of Korea

In this paper, a novel method for designing an M-channel, causal, stable IIR cosine-modulated filter bank (CMFB) with near PR property is proposed. The IIR prototype filter is designed with a simple constraint using lattice stucture with 1st order allpass filter components. The IIR prototype filter which is designed by the proposed method has higher stopband attenuation and sharper roll-off characteristic than the one which is designed by the previously proposed method with similar complexity. T

Computational MechanicsEngineering
10
Article|0 citations·2017
One-Shot Learning using Improved Least
Hyung Woo Park, Jun-Yeong Kim, Chang-Dong Yoo
Media TechnologyEngineering
11
Article|0 citations·2017
Template Matching based Fast Fingerspelling Recognition
Hyunwoo Nam, Chang-Dong Yoo
Human-Computer InteractionComputer Science
12
Article|0 citations·2018
Where Is Your Player: Deep Pixel-wise Visual Localization based on Text-phrase by Baseball Game Data
Minsu Kim, Hyung Woo Park, Chang-Dong Yoo
Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science
13
Article|0 citations·2017
Single Image Dehazing with Atrous Convolution and Fully Connected CRFs
Minsu Kim, Chang-Dong Yoo
International Conference on Image Processing
Computer Vision and Pattern RecognitionComputer Science

Research Areas

Computer Vision and Pattern RecognitionGeophysicsComputational MechanicsMedia TechnologyHuman-Computer Interaction

Dive deeper into Chang-Dong You's research on Nubint

Open this lab's papers in the app to read with AI, summarize, and cite in your writing.