The Machine Intelligence and Vision (MiV) laboratory focuses on interdisciplinary scientific research in addressing complex problems and major challenges of computational vision and artificial intelligence, particularly in the area of real-time scene understanding using advanced deep learning approaches. We are interested in applications for vision analytics, localization and mapping, navigation, biometric authentication, reinforcement learning, augmented reality, and decision support system.
Traffic Light and Crosswalk Detection and Localization Using Vehicular Camera
Somkiat Wangsiripitak, Keisuke Hano, and Shigeru Kuchii
International Conference on Knowledge and Smart Technology (KST), Chon buri, Thailand, pp. 108-113, Jan 2022
Human Height Estimation Using Visual Geometry and Feature Learning
Siriporn Dokthurian, Wirat Rattanapitak, and and Somkiat Wangsiripitak
IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, pp. 1-5, May 2021
Improvement of Text-Independent Speaker Verification Using Gender-like Feature
Pornprom Kiawjak, Somkiat Wangsiripitak, and Kitsuchart Pasupa
International Conference on Knowledge and Smart Technology (KST), Chonburi, Thailand, pp. 219-224, Jan 2021
Hybrid Training of Speaker and Sentence Models for One-Shot Lip Password
Kavin Ruengprateepsang, Somkiat Wangsiripitak, and Kitsuchart Pasupa
International Conference on Neural Information Processing (ICONIP), Lecture Notes in Computer Science, vol 12532, pp. 363–374, Bangkok, Thailand, Nov 2020
Machine Intelligence and Vision Group
Faculty of Information Technology
King Mongkut's Institute of Technology Ladkrabang
1 Chalong Krung 1 Alley, Lat Krabang
Bangkok 10520, Thailand
Monday - Friday from 8.30am to 4.30pm
+66 2 723 4900
miv@it.kmitl.ac.th
