Skip to main content

유창동 교수

Chang-Dong You

KAIST 반도체시스템공학과 · 컴퓨터과학

연구실 소개

유창동 교수의 연구실은 유비쿼터스 로봇 기반의 스마트 환경 구현을 핵심으로 하며, 소프트웨어 로봇(Sobot), 임베디드 로봇(Embot), 모바일 로봇(Mobot)을 통합한 융합형 로봇 아키텍처를 개발하고 있습니다. 특히 네트워크 기반의 상황 인식과 사용자 상호작용, 실시간 환경 인식 및 센서 융합 기술을 바탕으로 한 지능형 로봇 시스템의 설계 및 응용에 중점을 두고 있습니다. 음향 신호 처리 분야에서는 IIR 코스인-모odulated 필터 베이스를 활용한 고성능 에코 컨트롤러 개발 등 응용 기술의 융합도 진행 중입니다.

유비쿼터스 로봇로봇 통합 아키텍처상황 인식IIR 필터 베이스에코 컨트롤러

연구 현황

논문 수
13
총 인용 수
0
최근 5년 논문
13
주요 분야
컴퓨터과학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
13총합
2002
2005
2017
2018
2019
5개년 연도별 피인용 수
0총합
20022005201720182019

주요 논문

13
1
논문|인용수 0·2017
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
2
논문|인용수 0·2018
Associative Scene Semantic Segmentation
Hyou Jeong Han, Hyung Woo Park, Chang-Dong Yoo
Computer Vision and Pattern Recognition
Computer Vision and Pattern RecognitionComputer Science
3
논문|인용수 0·2005
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
논문|인용수 0·2017
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
논문|인용수 0·2017
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
논문|인용수 0·2018
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
논문|인용수 0·2018
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
논문|인용수 0·2019
The Impact of Content and Adversarial Losses on Super-Resolution
Tung M. Luu, Chang-Dong Yoo
Computer Vision and Pattern RecognitionComputer Science
9
논문|인용수 0·2002
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
논문|인용수 0·2017
One-Shot Learning using Improved Least
Hyung Woo Park, Jun-Yeong Kim, Chang-Dong Yoo
Media TechnologyEngineering
11
논문|인용수 0·2017
Template Matching based Fast Fingerspelling Recognition
Hyunwoo Nam, Chang-Dong Yoo
Human-Computer InteractionComputer Science
12
논문|인용수 0·2018
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
논문|인용수 0·2017
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

대표 연구 분야

Computer Vision and Pattern RecognitionGeophysicsComputational MechanicsMedia TechnologyHuman-Computer Interaction

유창동 교수의 연구를 Nubint에서 더 깊이 살펴보세요

이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.