Lab Director
Prof. Kuan-Ting (K. T.) Lai 賴冠廷
Dr. Kuan-Ting Lai received bachelor's degree in Electric Engineering and master's degree in Computer Science from National Taiwan University in 2003 and 2005. After graduation, he joined Quanta Computer as a video ASIC engineer for 4 years, and started to pursue Ph.D. in 2009, under supervision of Prof. Ming-Syan Chen. During 2012-2013, Dr. Lai visited Prof. Shih-Fu Chang’s DVMM lab at Columbia University, and co-developed a large-scale video event detection system with IBM T. J. Watson Research Center. He received his Ph.D. degree in Feb. 2015 and became the VP of technology at Arkados Group. He also co-founded AnyCharge, a wireless charging service provider in Asia. In 2018, Dr. Lai joined the Department of Electronic Engineering at National Taipei University of Technology (臺北科技大學電子工程系) as an Assistant Professor. His research interests include computer vision, machine learning, deep learning and Internet of Things. His habit is traveling around the world by joining conferences and making new friends.
News
- 2018/10/24 - Our paper "VIVID: Virtual Environment for Visual Deep Learning" won the ACM MM 2018 Best Open Source Software Award!
Projects
VIVID - Virtual Environment for Visual Deep Learning
VIVID is a photo-realistic simulator that aims to facilitate deep learning for computer vision, which supports different characters: robot, drone, and automobile. The platform can be used for many research fields including deep reinforcement learning, semantic segmentation object recognition and human action recognition. For more details please visit the project's github page.
AnyCharge - An IoT-based Public Charging Service
AnyCharge is a public wireless charging service based on IoT technology. All the chargers are controllable by our cloud. We have deployed around 70 charging spots in Taiwan, Thailand, and Singapore (website).
Drone Action Recognition
In this project, we develop a large-scale action detector of drone that can recognize numerous complex human actions such as running, eating, smoking, photo shooting, and create a large-scale dataset to evaluate our algorithm.
Mining Telecom Fraud using Social Network Analysis
Telecom fraud is one of the most prevalent crimes today and causes most property loss. To identify the roles of the fraudsters, we cooperate with Criminal Investigation Bureau of Taiwan and propose a Telecom Fraud Analysis Model (TFAM). For more details, please refer to our paper "Mining the Networks of Telecommunication Fraud Groups using Social Network Analysis", ASONAM, 2017.
Publications
The table is created by Google Scholar on July 25, 2018. For latest information, please visit My Google Scholar Profile.
| Title | Cited by | Year |
|---|---|---|
| VIVID: Virtual Environment for Visual Deep Learning KT Lai, CC Lin, CY Kang, ME Liao, MS Chen 2018 ACM Multimedia Conference on Multimedia Conference, 1356-1359, 2018 | 2018 | |
| The privileged sensing framework: A principled approach to improved human-autonomy integration AR Marathe, JS Metcalfe, BJ Lance, JR Lukos, D Jangraw, KT Lai, ... Theoretical Issues in Ergonomics Science 19 (3), 283-320, 2018 | 4 | 2018 |
| Mining the Networks of Telecommunication Fraud Groups using Social Network Analysis YC Chang, KT Lai, SCT Chou, MS Chen Advances in Social Networks Analysis and Mining (ASONAM), 2017 | 1 | 2017 |
| Learning sample specific weights for late fusion KT Lai, D Liu, SF Chang, MS Chen IEEE Transactions on Image Processing 24 (9), 2772-2783, 2015 | 12 | 2015 |
| Recognizing complex events in videos by learning key static-dynamic evidences KT Lai, D Liu, MS Chen, SF Chang European Conference on Computer Vision, 675-688, 2014 | 35 | 2014 |
| Video Event Detection by Inferring Temporal Instance Labels KT Lai, XY Felix, MS Chen, SF Chang Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2014 | 73 | 2014 |
| Sample-specific late fusion for visual category recognition D Liu, KT Lai, G Ye, MS Chen, SF Chang Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 803-810, 2013 | 46 | 2013 |
| Human action recognition using histogram of oriented gradient of motion history image CP Huang, CH Hsieh, KT Lai, WY Huang Instrumentation, Measurement, Computer, Communication and Control, 2011 …, 2011 | 34 | 2011 |
| Orientation histogram of SIFT displacement for recognizing actions in broadcast videos KT Lai, MS Chen, CH Hsieh, MF Lai Visual Information Processing (EUVIP), 2011 3rd European Workshop on, 286-291, 2011 | 3 | 2011 |
| Human action recognition using key points displacement KT Lai, CH Hsieh, MF Lai, MS Chen International Conference on Image and Signal Processing, 439-447, 2010 | 7 | 2010 |
| Player detection and tracking in broadcast tennis video YC Jiang, KT Lai, CH Hsieh, MF Lai Pacific-Rim Symposium on Image and Video Technology, 759-770, 2009 | 10 | 2009 |
Contact Us
Office Address
Complex Building (綜科館), Room 406-1. No. 1, Sec. 3, Zhongxiao E. Rd., Taipei City, 10643, Taiwan (臺北科技大學)Phone Number
(+886-2) 2771-2171 Ext. 2275
ntut.edu.tw