基本信息
浏览量:306
职业迁徙
个人简介
The goal of Intelligent Media Lab. is to study and develop a variety of intelligent systems with human-like intelligence.
For doing this, we are focused on studying several basic techniques such as 1) Digital Image and Video Processing, 2) Pattern Recognition, 3) Computer Vision, 4) Computational Intelligence, 5) Machine Learning, 6) Deep Learning and 7) Graphical Models.
Based on these basic techniques, we are developing a variety of algorithms for 1) Face Analysis (Face Detection, Eye Detection, Lip-reading, Facial Feature Detection, Gaze Tracking, Head Pose Tracking, Gender Classification, Age Estimation, Facial Expression Recognition, Face Recognition, Facial Disguise Discrimination), 2) Human Analysis (Pedestrian Detection, Body Part Detection, Human Pose Estimation, Human Tracking, Body Part Tracking, Gesture Recognition, Human Behavior Understanding), 3) Video Analysis (Visual Surveillance System, Object Recognition, Abandoned/Removed Object Classification, Business Card/Document Classification), and 4) ADAS(Traffic sign detection/recognition, Traffic light detection/recognition, Vehicle detection/recognition, lane detection).
The developed algorithms are applied to many applications such as Smart Phones/TVs/Glasses, Intelligent UI/UX, Human Computer Interaction/Human Robot Interaction, Video Surveillance/Security, Intelligent Vehicles/Safety Cars, Robotics, and many others.
For doing this, we are focused on studying several basic techniques such as 1) Digital Image and Video Processing, 2) Pattern Recognition, 3) Computer Vision, 4) Computational Intelligence, 5) Machine Learning, 6) Deep Learning and 7) Graphical Models.
Based on these basic techniques, we are developing a variety of algorithms for 1) Face Analysis (Face Detection, Eye Detection, Lip-reading, Facial Feature Detection, Gaze Tracking, Head Pose Tracking, Gender Classification, Age Estimation, Facial Expression Recognition, Face Recognition, Facial Disguise Discrimination), 2) Human Analysis (Pedestrian Detection, Body Part Detection, Human Pose Estimation, Human Tracking, Body Part Tracking, Gesture Recognition, Human Behavior Understanding), 3) Video Analysis (Visual Surveillance System, Object Recognition, Abandoned/Removed Object Classification, Business Card/Document Classification), and 4) ADAS(Traffic sign detection/recognition, Traffic light detection/recognition, Vehicle detection/recognition, lane detection).
The developed algorithms are applied to many applications such as Smart Phones/TVs/Glasses, Intelligent UI/UX, Human Computer Interaction/Human Robot Interaction, Video Surveillance/Security, Intelligent Vehicles/Safety Cars, Robotics, and many others.
研究兴趣
论文共 593 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Jihoon Oh, Taekgyu Lee, Eun Su Chung, Hyonsoo Kim, Kyongchul Cho, Hyunkyu Kim,Jihye Choi, Hyeon-Hee Sim, Jongseo Lee,In Young Choi,Dai-Jin Kim
Frontiers in psychiatry (2024)
Psychiatry investigationno. 6 (2024): 551-560
MEDINFO 2023 - THE FUTURE IS ACCESSIBLE (2024): 1548-1549
crossref(2024)
JOURNAL OF BEHAVIORAL ADDICTIONS (2023): 160-160
引用0浏览0引用
0
0
Journal of medical Internet research (2023): e45465-e45465
Fee Faysal Ahmed,Anamika Podder, Md. Farhad Bulbul, Md. Amzad Hossain,Mahedi Hasan,Md. Abdur Rauf Sarkar,Daijin Kim
Combinatorial chemistry & high throughput screening (2023)
加载更多
作者统计
#Papers: 600
#Citation: 20734
H-Index: 68
G-Index: 127
Sociability: 9
Diversity: 0
Activity: 3
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn