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.
- 2018/10/24 - Our paper "VIVID: Virtual Environment for Visual Deep Learning" won the ACM MM 2018 Best Open Source Software Award!
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.
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.
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.
The table is created by Google Scholar on July 25, 2018. For latest information, please visit My Google Scholar Profile.
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
Office AddressComplex Building (綜科館), Room 406-1. No. 1, Sec. 3, Zhongxiao E. Rd., Taipei City, 10643, Taiwan (臺北科技大學)
(+886-2) 2771-2171 Ext. 2275