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    Intelligence
    Technology
    Laboratory

News

Internship, MS, Ph.D Opening: We are looking for students who want to make innovation together.


2016. 7. MOT Benchmark 2016: We ranked 1st place in Multi Object Tracking benchmark 2016 !



2016. 3. PASCAL VOC 2012: We ranked 2nd place in PASCAL Visual Object Classes Challenge 2012 benchmark !

2015. 12. ImageNet Challenge 2015: We ranked the 2nd place in ImageNet Challenge (ILSVRC) 2015 detection from video !



Members

About Us

Intelligence Technology Laboratory was founded in 1992 by Professor Phill Kyu Rhee
aiming for Human-like intelligent Vision Processing Technology.

Professor


Phill Kyu Rhee

pkrhee at inha.ac.kr

Ph.D. in Computer Science, 1990, University of Southwestern Louisiana

M.S. in Computer Science, 1986, East Texas State University

B.S. in Electronic Engineering, 1982, Seoul National University

Researcher, 1982 ~ 1985, KIST

Senior researcher, 1991 ~ 1992, ETRI

Guest researcher, 1993 ~ 1994, IBM T.J. Watson Research Center



PostDoc


남미영

mail at inha.edu

- Object Detection
- Object Tracking
- Deep learning



Ph.D. Candidates


Songguo Jin

sgkim735 at inha.edu

- Deep learning
- Eye Tracking
- Face Recognition

Jay Noel Rojo

jaynoelrojo at must.edu.ph

- Object Detection
- Object Tracking
- Machine Learning


Minhaz Uddin Ahmed

minhaz.ahmed at gmail.com

- Human Activity Recognition
- Machine Learning
- Big data computing



Master Candidates



Changmin Yoon

xeonsmadness at gmail.com

- Big Data Analysis
- Autonomous Vehicle

Jinwoo Kim

kclorn at inha.edu

- Face Recognition
- RCNN-SVM


Yoonyoung Kim

widesight0810 at gmail.com

- Object Detection & Classification
- Deep Learning
- Face Recognition & Localization
- Saliency Detection

Byungjae Lee

jaylee at inha.edu

- Topic Modeling
- Machine Learning
- Deep Learning
- Object Detection


Enkhbayar Erdenee

enkhee.data at gmail.com

- Big Data Analysis
- Machine Learning
- Deep Learning
- Object Detection

Shibo Han

hanshibo28 at gmail.com

- Machine Learning
- Deep Learning
- Computer Vision



Undergraduate Students


황현기

mail at inha.edu

- Machine Learning


김성열

mail at inha.edu

- Machine Learning
- Computer Vision

김영현

ohpely at gmail.com

- Machine Learning
- Statistical Learning




Alumni



Wonjun Sung

Master ~2015.08

Research Scientist, V-Touch

Hyunje Jo

Master ~2015.08

Visit U.S. to study

Hyunseok Yang

Intern ~2015.08

-

Sarang Kim

Master ~2015.02

Research Scientist, LG CTO

Sungjin Hong

Master ~2015.02

Research Scientist, ETRI

Daun Jung

Doctor ~2015.02

-

Research

Recently, we are focusing on Big Data based Machine Learning & Computer Vision System

Computer Vision

- Object Detection

- Object Tracking

- Pattern Recognition

Machine Learning

- Neural Network

- Topic Modeling

- Recommendation System

Big Data

- Distributed Computing, Hadoop

- Large-scale Data Processing, Spark

Publications

ITLab Papers

Robust Facial Feature Localization using Data-Driven Semi-supervised Learning Approach
ICVS, pp 157-166, 2015.

An Efficient Eye Tracking Using POMDP for Robust Human Computer Interaction
ICVS, pp 415-423, 2015.

Adaptive Visual Tracking Using the Prioritized Q-learning Algorithm: MDP-Based Parameter Learning Approach
IMAGE AND VISION COMPUTING, pp 1090-1101, 2014.

Mouth Tracking for Hands-free Robot Control Systems
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS 12, pp628~636, 2014.

Efficient facial landmark localization using spatial-contextual AdaBoost algorithm
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 25, pp1366~1377, 2014.

클러스터링 기반 협업 필터링 알고리즘을 사용한 분산 추천 시스템
한국인터넷방송통신학회 논문지, 14권 1호, pp101~107, 2014.

강화학습을 이용한 눈동자 추적 시스템의 성능향상
한국인터넷방송통신학회 논문지, , pp, 2013.

Evolutionary adaptive eye tracking for low-cost human computer interaction applications
JOURNAL OF ELECTRONIC IMAGING, 22권 1호, pp013031~013031-16, 2013.

강화 학습 알고리즘을 통한 하이브리드 필터링 이미지 추천 시스템
한국인터넷방송통신학회 논문지, , pp, 2012.

Hierarchical spatiotemporal modeling for dynamic video trajectory analysis
OPTICAL ENGINEERING, 50권 10호, pp, 2011.

필터 및 특징 선택 기반의 적응형 얼굴 인식 방법
한국콘텐츠학회논문지, , pp1~8, 2009.

Evolutionary Fusion of a Multi-Classifier System for Efficient Face Recognition
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 7, pp33~40, 2009.

Efficient Eye Location for Biomedical Imaging using Two-level Classifier Scheme
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 6, pp828~835, 2008.

Adaptive feature representation for robust face recognition using context-aware approach
NEUROCOMPUTING, 70, pp648~656, 2007.

Adaptive classifier selection on hierarchical context modeling for robust vision systems
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4253, pp124~134, 2006.

Merging and arbitration strategy for robust eye location
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4251, pp569~581, 2006.

A context model for ubiquitous computing applications
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4253, pp116~123, 2006.

Adaptive context-aware filter fusion for face recognition on bad illumination
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4251, pp532~541, 2006.

Robust eye detection method for varying environment using illuminant context-awareness
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4251, pp368~375, 2006.

Head gesture recognition using feature interpolation
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4251, pp582~589, 2006.

Real time head nod and shake detection using HMMs
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4253, pp707~714, 2006.

Self-adaptive classifier fusion for expression-insensitive face recognition
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4251, pp78~85, 2006.

Use of cluster validity in designing adaptive Gabor wavelet based face recognition
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4251, pp68~77, 2006.

Real time face detection system based edge restoration and nested K-means at frontal view
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4223, pp1192~1200, 2006.

Pattern recognition using evolutionary classifier and feature selection
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4223, pp393~399, 2006.

Image context-driven eye location using the hybrid network of k-means and RBF
LECTURE NOTES IN COMPUTER SCIENCE, 4222, pp540~549, 2006.

T-test model for context aware classifier
LECTURE NOTES IN COMPUTER SCIENCE, 4221, pp331~336, 2006.

A face detection using multiple detectors for external environment
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4223, pp1299~1302, 2006.

Evolutionary ensemble based pattern recognition by data context definition
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4099, pp730~736, 2006.

Context awareness system modeling and classifier combination
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4099, pp394~403, 2006.

Feature Extraction and Evolution based Pattern Recognition
LECTURE NOTES IN COMPUTER SCIENCE, 4113, pp842~852, 2006.

Context-awareness based adaptive classifier combination for object recognition
LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES, 345, pp201~210, 2006.

Embedded system implementation for an object detection using stereo image
LECTURE NOTES IN COMPUTER SCIENCE, 345, pp230~240, 2006.

A face recognition system on distributed evolutionary computing using on-line GA
LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES, 345, pp9~18, 2006.

Use of nested K-means for robust head location in visual surveillance system
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4099, pp583~592, 2006.

Merging and arbitration strategy applied Bayesian classification for eye location
LECTURE NOTES IN COMPUTER SCIENCE, 4109, pp881~888, 2006.

Cascade of fusion for adaptive classifier combination using context-awareness
LECTURE NOTES IN COMPUTER SCIENCE, 4069, pp252~261, 2006.

Embedded face recognition based on fast genetic algorithm for intelligent digital photography
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 52, pp726~734, 2006.

Face recognition using correlation between illuminant context
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4029, pp833~840, 2006.

An efficient face and eye detector modeling in external environment
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 4029, pp841~849, 2006.

An Efficient Classifier Fusion for Face Recognition Including Varying Illumination
LECTURE NOTES IN COMPUTER SCIENCE, 3768, pp935~945, 2005.

An Efficient Eye Location using Context-Aware Binarization Method
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3683, pp662~669, 2005.

Adaptive Classifier Combination for Visual Information Processing using Data Context-Awareness
LECTURE NOTES IN COMPUTER SCIENCE, 3646, pp260~271, 2005.

Filter Selection and Identification Similarity using Clustering under Varying Illumination
LECTURE NOTES IN COMPUTER SCIENCE, 3691, pp449~455, 2005.

Context-Aware Evolvable System Framework for Environment Identifying Systems
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3682, pp270~283, 2005.

An Evolvable Hardware System under Uneven Environment
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3682, pp319~326, 2005.

Adaptive Gabor Wavelet for Efficient Object Recognition
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3682, pp308~318, 2005.

Human Face Detection using Skin Color Context Awareness and Context-based Bayesian Classifier
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3682, pp298~307, 2005.

An Efficient Face Location using Integrated Feature Space
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3682, pp327~335, 2005.

Hybrid Filter Fusion for Robust Visual Information Processing
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3684, pp186~194, 2005.

Multi-Context Fusion based Robust Face Detection in Dynamic Environments
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 3613 , pp698~707, 2005.

On the Filter Combination for Efficient Image Preprocessing under uneven illumination
LECTURE NOTES IN COMPUTER SCIENCE, 3687, pp673~682, 2005.

Adaptive Object Recognition using Context-Aware Genetic Algorithm under Dynamic Environment
LECTURE NOTES IN COMPUTER SCIENCE, 3687, pp257~267, 2005.

Multi-Scale and Multi-Pose Face Recognition System
LECTURE NOTES IN COMPUTER SCIENCE, 3687 , pp268~276, 2005.

Adaptive Normalization Based Highly Efficient Face Recognition Under Uneven Environments
LECTURE NOTES IN COMPUTER SCIENCE, 3611, pp759~768, 2005.

An Evolvable Hardware System under Varying Illumination Environment
LECTURE NOTES IN COMPUTER SCIENCE, 3612, pp361~365, 2005.

Adaptove Eye Detection Using FuzzyART
LECTURE NOTES IN COMPUTER SCIENCE, 3611, pp109~118, 2005.

A Scale and Viewing Point Invariant Pose Estimation
LECTURE NOTES IN COMPUTER SCIENCE, -, pp~, 2004.

Optimal Gabor Encoding Scheme for Face Recognition using Genetic Algorithm
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, -, pp~, 2004.

A Recommendation System for Intelligent User Interface : Collaborative Filtering Approach
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, -, pp~, 2004.

A Novel Image Preprocessing by Evolvable Neural Network
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, -, pp~, 2004.

오류-역전파 신경망 기반의 얼굴 검출 및 포즈 추정
정보처리학회논문지ABCD, 9-B권 6호, pp853~862, 2002.

웹 사용 정보 마이닝 기반의 동적 사용자 프로파일 생성
정보처리학회논문지ABCD, 제9-B권 제4호, pp389~398, 2002.

Web personalization expert with combining collaborative filtering and association rule mining technique
EXPERT SYSTEMS WITH APPLICATIONS, 21-3, pp131~137, 2001.

효율적인 정보 공유를 위한 묵시적 사용자 평가 기반의 추천 시스템
한국컴퓨터산업교육학회, 2, pp, 2000.

Document Ontology Based Personalized Filtering System
ACM MultiMedia 2000, , pp, 2000.

교육용 웹 컨텐츠 서비스를 위한 개인화 엔진 설계
한국 컴퓨터 산업교육학회, 1, pp1~12, 2000.

지능형 화상 검색 시스템에서의 사용자 모델을 이용한 사용자 적응
한국정보처리학회논문지, 제6권 제12호, pp게재예정, 1999.

HMM을 이용한 헤드 제스처 인식
Expert System with application, Vol17. NO 3, pp213~221, 1999.

Automatic Adaptation Method in Intelligent Image Retrieval System
Proceedings of IEEE Region 10 Conference TENCON 99 Cheju-Korea, , pp, 1999.

사용자 관심 추출을 이용한 질의 확장
인하대학교 산업과학 기술 연구소 논문집, 제27집, pp533~538, 1999.

입술 읽기를 위한 입의 위치 탐지 및 특징 추출
인하대학교 산업과학기술연구소 논문집, 제 27 집, pp527~531, 1999.

PRAM과 MPRAM 모델을 기반한 병렬 세선화 알고리듬의 새로운 성능 평가
IEICE Transaction on Information and Systems, VOL.E81-D, NO.12, pp1494~1506, 1998.

얼굴 이미지에서 입 영역 분할
한국 인지과학회 논문지, 8권, 4호, pp55~62, 1998.

신경망을 이용한 얼굴 영역 추출
한국정보과학회 눈문지, Vol 25, No. 8, pp1259~1269, 1998.

멀티미디어 데이터 검색 시스템을 위한 지능 사용자 인터페이스
인하대학교 컴퓨터 과학 응용 연구소 논문집, Vol2., pp147~153, 1998.

화상 회의 인터페이스를 위한 눈 위치 검출
정보처리학회 논문지, 4권 12호, pp3211~3218, 1997.

밸리 기반의 눈 영역 탐색 알고리즘
인하대학교 산업과학기술연구소 논문집, , pp341~349, 1997.

모자이크를 이용한 얼굴 영역 추출
인하대학교 컴퓨터과학응용연구소 논문집, Vol. 1, pp69~78, 1996.

VLSI/WSI 프로세서 배열을 위한 동적 자체재구성 기법
대한전기학회, 45권 8호, pp1215~1226, 1996.

특징 벡터를 이용한 무제약 필기체 숫자의 인식
인하대학교 산업기술연구소 논문집, 24-1, pp313~318, 1996.

가중치를 이용한 병렬세선화 알고리즘
한국 인지과학회 논문지, Vol. 7. No 1, pp5~35, 1996.

회로 추출을 위한 병렬알고리즘, 대한 전기 학회
Vol44, No.10, pp1389~1396, 1995.

재구성이 가능한 병렬컴퓨터에서 영역채우기 병렬알고리즘
한국정보과학회 논문지 , vol. 22, no. 3, pp493~503, 1995.

병렬 알고리즘을 이용한 초고집적 회로 추출기
인하대학교 산업기술연구소 논문집, , pp309~318, 1995.

SIMD 병렬컴퓨터인 RPM에서 문자영상의 특징추출 병렬알고리즘
한국 정보과학회 논문지, 21권, 12호, pp2261~2271, 1994.

가상 윈도우를 이용한 필기체 특징추출
인하대학교 산업기술연구소 논문집, , pp429~436, 1993.

스위치 캐패시터 필터 자동합성기
인하대학교 산업기술연구소 논문집, , pp345~350, 1993.

메시 연결 병렬처리 시스템을 위한 재구성 법칙
인하대학교 산업기술연구소 논문집 , , pp347~355, 1993.

VLSI/WSI 프로세서 어레이를 위한 재구성 알고리듬
한국 정보과학회 논문지, Vol.20, No. 1, pp12~22, 1993.

An Optimal Domain-Based reconfiguration Algorithm for WSI Processor Arrays
Microprocessing and Microprogramming, 33, pp261~267, 1992.

A Resource-Efficient Reconfiguration Algorithm for VLSI 2-D Processor Arrays
Jounal of VLSI Signal Processing, Vol. 4, pp317~330, 1992.

The Rule-Based Approach to Reconfiguration of 2-D Processor Arrays
IEEE Trans. on Computer, , pp1403~1408, 1992.

Contact

Welcome to visit ITLab !

If you are insterested in ITLab, don't hesitate to contact us.
You can visit out laboratory which is located in Inha Univ. Hitech Center room 1301/1303 or send e-mail to us. We are looking for students who want to make innovation together !

인하대학교 컴퓨터정보공학부 지능기술연구실 홈페이지에 오신 것을 환영합니다. 본 홈페이지에 기술된 연구분야와 논문들을 둘러보시면 지능기술연구실에서 어떤 주제들을 주로 연구하는지 알 수 있습니다.
ITLab은 자율적인 분위기 속에서 스스로 연구를 통해 여러분의 커리어와 역량을 키울 수 있습니다. 예비대학원생이나 대학원 진학, 또는 저희 분야를 함께 공부해보고 싶은 학생들은 부담없이 인하대학교 하이테크센터 1301호/1303호로 찾아오시거나 메일로 연락주시기 바랍니다.

ITLab, Room 1301, HITECH Building, Inha Univ.
100, Inha-ro, Nam-gu, Incheon, South Korea

pkrhee@inha.ac.kr

+82 32 860 7448