Taipei Tech AIoT Lab

Artificial Intelligence of Things



News



Research

AI Wings - An AIoT Drone System

AI Wings is an AIoT Drone System that consists of a cloud server for commanding drone fleets securely, software/hardware design for AIoT drones, and VR simulation for training and testing AI models. Users can install the AI models on the drones and deploy them in the real world. This project is under active development. Welcome to join us! (project home)


Drone Action Recognition

In this project, our goal is to train an embedded action detector on a drone that can recognize complex human actions such as running, eating, smoking, photo shooting. We have created 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...



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



Members

Year 2022

Zong-Ming He

Experience
  • Hardware Engineer, Inventec, 2019 - 2022

Pin-Hsuan Liu

Experience
  • Advanced Placement Computer Science (APCS) Teaching Assistant

Zhi-Xuan Wang

Experience

Ching-Lin Lee

Experience
  • Hardware Engineer, Accton (智邦科技), 2021 - 2022

Kai-Ming Hu

Experience
  • Joining International Collegiate Programming Contest (ICPC) & ACM National Programming Contest for Private Universities (NCPU)

Ya-Yun Chang

Experience
  • Advanced Placement Computer Science (APCS) Teaching Assistant

Tzu-Hsin Liu

Experience

Ying-You Lin

Experience
  • Software engineer, LargitData
  • 7th HACKATHON TAIWAN JUNIOR, Honorable Mention Award

Yu-Hsiung Chiu

Experience
  • Technical Supervisor, Atrust Computer Corp.

Year 2021

Wei-Xuan You

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

Kuo-Chan Sheng

Experience
  • Academic Excellence Award

Bo-Yi Lin

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

Chung-Ying Ho

Experience

Pin-Huei Liou

Experience
  • Software engineer, Micromax International Corp.

Pin-Chun Li

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

Cheng-Yi Lin

Experience
  • Intern, CyberLink

full member list...



Publications

The table was created using Google Scholar on July 12, 2022. For latest information, please visit My Google Scholar Profile.

Title Cited by Year
AI Wings: An AIoT Drone System for Commanding ArduPilot UAVs
KT Lai, YT Chung, JJ Su, CH Lai, YH Huang
IEEE Systems Journal, 2022
2022
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
5 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
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
62020
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
12020
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
7 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
5 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
11 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
18 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
9 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
141 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
75 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
61 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