News
- 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!
Research
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...
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 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
Year 2020
Chang-Yu Tsou
Experience- R&D engineer, Tong Hsing Electronic Industries, Ltd.
Yueh-Tsung Chung
Experience- Tong Hsing Electronic Industries, Ltd.
Ting-Chun Wang
Experience- Intern, Google Taiwan Engineering Limited
- Intern, HTC Corporation
ZHI-YU LIN
Experience- ACUTE TOUCH TECHNOLOGY CO., LTD.
Yu-Hsuan Huang
Experience- Section chief of procurement department, YUANYU GROUP CO., LTD.
Drisya Babu Asari Leju
Experience:- Associative Software Engineer (IVR/ASR Engineer) at Pivot Systems Pvt.Ltd, Technopark, Trivandrum
Nehal Ahmad
Experience- Research on retinal cardiovascular disorders causing Retinopathy of Prematurity and Diabetic Retinopathy etc.
full member list...
Publications
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 | 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 | 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 | 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
ntut.edu.tw