Taipei Tech AIoT Lab

Artificial Intelligence of Things


  • 2021/4/21 - The paper co-work with NetDB, "Efficient Two-stream Action Recognition on FPGA", was accepted by CVPR 2021 ECV Workshop!
  • 2019/10/10 - Our paper "AnyCharge: An IoT Wireless Charging Service for the Public" has been accepted by IEEE IOT Journal!
  • 2018/10/24 - Our paper "VIVID: Virtual Environment for Visual Deep Learning" won the ACM MM 2018 Best Open Source Software Award!


AI Wings - An AIoT Drone System

AI Wings is an AIoT Drone System, which enables fast prototyping and test of 4G/5G AI drones. We create a embedded system module to allow users to convert general small drones into AIoT drones easily. To test AI Wings functions, we built a 80x80 cm delivery drone. (project home)

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. (project home)

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 homepage.

Pothole Detection

We work together with Feng Chia University to develop a real-time pothole detector on Xilinx FPGA. Additionally, we propose to train detectors in VIVID, and increase the accuracy with less real training photos. Our system can also connect to CarSim and simulate the response of real cars' suspension systems. (project home)

more projects...


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, deep learning, virtual-to-real learning and Internet of Things. His habit is traveling around the world by joining conferences and making new friends.


Year 2021

Wei-Xuan You

  • Academic Excellence Award, Department of Electronic Engineering, NTUT
  • BIOS Server Firmware Engineer, Compal 2021

Kuo-Chan Sheng

  • Academic Excellence Award

Bo-Yi Lin

  • 2018 Academic Excellence Award, Department of Communication Engineerning, AEUST

Chung-Ying Ho


Pin-Huei Liou

  • Software engineer, Micromax International Corp.

Pin-Chun Li

  • Quality Testing Engineer, Xiaomi Taiwan
  • Quality Testing Engineer, OPPO/Realme Taiwan

Year 2020

Chang-Yu Tsou

  • R&D engineer, Tong Hsing Electronic Industries, Ltd.

Yueh-Tsung Chung

  • Tong Hsing Electronic Industries, Ltd.

Ting-Chun Wang

  • Intern, Google Taiwan Engineering Limited
  • Intern, HTC Corporation



Yu-Hsuan Huang

  • Section chief of procurement department, YUANYU GROUP CO., LTD.

Drisya Babu Asari Leju

  • Associative Software Engineer (IVR/ASR Engineer) at Pivot Systems Pvt.Ltd, Technopark, Trivandrum

Nehal Ahmad

  • Research on retinal cardiovascular disorders causing Retinopathy of Prematurity and Diabetic Retinopathy etc.

full member list...


The table was created using Google Scholar on July 12, 2021. For latest information, please visit My Google Scholar Profile.

Title Cited by Year
TAGNet: Triplet-Attention Graph Networks for Hashtag Recommendation
YC Chen, KT Lai, D Liu, MS Chen
IEEE Transactions on Circuits and Systems for Video Technology, 2021
Efficient Two-Stream Action Recognition on FPGA
JM Lin, KT Lai, BR Wu, MS Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Learning Pothole Detection in Virtual Environment
JC Tsai, KT Lai, TC Dai, JJ Su, CY Siao, YC Hsu
2020 International Automatic Control Conference (CACS), 1-5, 2020
Who is the boss? Identifying key roles in telecom fraud network via centrality-guided deep random walk
YC Chang, KT Lai, SCT Chou, WC Chiang, YC Lin
Data Technologies and Applications, 2020
AnyCharge: An IoT-Based Wireless Charging Service for the Public
KT Lai, FC Cheng, SCT Chou, YC Chang, GW Wu, JC Tsai
IEEE Internet of Things Journal 6 (6), 10888-10901, 2019
3 2019
An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks
D Kao, KT Lai, MS Chen
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 150-162, 2019
3 2019
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
7 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
16 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
5 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
21 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
48 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
136 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
71 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
54 2011

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