Multimedia Lab., Department of Electrical Engineering
Research Field
Wen-Nung Lie (M’96) received the B.S., M.S., and PhD. Degrees in electrical engineering from National Tsing Hua University, Hsinchu, Taiwan, in 1984, 1986, and 1990, respectively. From September 1990 to June 1996, he served as an assistant scientist in Chung Shan Institute of Science and Technology (CSIST), Taiwan, where he was devoted to the development of infrared imaging system and target tracker for military applications. In August 1996, he joined the Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan, where he is currently a Professor and was the Vice Dean of the College of Engineering. From July 2000 to January 2001, he was a Visiting Scholar in the University of Washington, Seattle. His research interests include image/video compression, networked video transmission, audio/video watermarking, multimedia content analysis, machine learning, standard-compliant multimedia encryption, infrared image processing, 3-D TV related, 2-D to 3-D image/video conversion, industrial inspection, and deep learning for computer vision applications.
This lab is to do researches on computer vision based on the modern deep learning (machine learning) techniques. In our research, you will learn deep learning techniques such as CNN, RNN, LSTM, AE, VAE, etc. The possible applications and topics include: (1) 3D human skeleton extraction, skeleton-based action recognition, action prediction for elderly monitoring, (2) depth estimation from mono- binocular images, (3) 3D object (vehicle, pedestrian, cyclist) detection and positioning from fusion of RGB/LiDAR sensor data, (4) mapless robot navigation based on deep reinforce learning (DRL), (5) object (head/vehicle/human/object) pose estimation from single RGB image, (5) deep learning-based adverse drug reaction (ADR) prediction for clinic medicine use, (6) elderly caring application of AI-generated content (AIGC), such as (text/audio/image) -to-(image/video). The intern student is expected to have some preliminary knowledge on NN (neural network) or deep learning and skilled in Python programming. He/She will learn how to apply state-of-the-art deep learning techniques to solve the indicated problems. For more detail about my topics, please visit my Youtube video at: https://youtu.be/tIwenpyFRhw
Computer vision applications based on deep learning techniques
World's Top 2% Scientist, 2020, 2021
BS, MS, and PhD from Department of Electrical Engineering, National Tsing-Hua University (NTHU), Taiwan in 1984, 1986, and 1990, respectively.