News
- 2022/7/21 - Our paper "AI Wings: An AIoT Drone System for Commanding ArduPilot UAVs" has been published by IEEE Systems Journal!
- 2021/4/21 - The paper co-work with NetDB, "Efficient Two-stream Action Recognition on FPGA", was accepted by CVPR 2021 ECV Workshop!
- 2021/4/20 - The paper co-work with NetDB and Netflix, "TAGNet: Triplet-Attention Graph Networks for Hashtag Recommendation", has been published by TCSVT!
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 | 6 | 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 | 1 | 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 |
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
ntut.edu.tw