Stefan WINKLERAssociate Professor (Practice)
Deputy Director, AI Singapore
Adjunct Distinguished Scientist, Advanced Digital Sciences Center, University of Illinois
Director & Co-founder, Opsis Pte Ltd
Ph.D. (Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland, 2001)
Dipl.-Ing. (Electrical Engineering, Technische Universität Wien, Austria, 1996)
- Artificial Intelligence
- Computer vision
- Video analysis
- Human-computer interaction
Stefan Winkler is Deputy Director at AI Singapore and Associate Professor (Practice) at the National University of Singapore. Prior to that he was Distinguished Scientist and Director of the Video & Analytics Program at the University of Illinois’ Advanced Digital Sciences Center (ADSC) in Singapore. He also co-founded two start-ups and worked for a Silicon Valley company. Dr. Winkler has a Ph.D. degree from the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, and a Dipl.-Ing. (M.Eng./B.Eng.) degree from the University of Technology Vienna, Austria. He is an IEEE Fellow and has published over 150 papers and the book “Digital Video Quality.” He was Associate Editor of the IEEE Transactions on Image Processing (2009-2018) and the IEEE Signal Processing Magazine (Standards Column) (2012-2015). He is a member of the IVMSP Technical Committee of the IEEE Signal Processing Society, Executive Committee Member of the IEEE Singapore Section and the IEEE Singapore Signal Processing Chapter. He has served on the organizing committees of numerous conferences and workshops, including area chair of ICIP and ICME, general chair of QoMEX 2014, as well as the QoMEX Steering Committee (2014-2017). He has also contributed to video quality standards in VQEG, ITU, ATIS, VSF, and SCTE. His research interests include video processing, computer vision, machine learning, perception, and human-computer interaction
- Digital Emotions - An Integrative Approach to Sociocultural-level Emotion Recognition from Multi-modal Cues
Y. Yazıcı, C.-S. Foo, S. Winkler, K.-H. Yap, G. Piliouras, V. Chandrasekhar. The unusual effectiveness of averaging in GAN training. Proc. International Conference on Learning Representations (ICLR), New Orleans, LA, May 6-9, 2019.
L. Zhang, S. Peng, S. Winkler. PersEmoN: A deep network for joint analysis of apparent personality, emotion and their relationship. eprint arXiv:1811.08657, Nov. 2018.
V. Vonikakis, R. Subramanian, J. Arnfred, S. Winkler. Probabilistic approach to people-centric photo selection and sequencing. IEEE Transactions on Multimedia, vol. 19, no. 11, pp. 2609-2624, Nov. 2017.
S. Dev, B. Wen, Y. H. Lee, S. Winkler. Machine learning techniques and applications for ground-based image analysis. IEEE Geoscience and Remote Sensing Magazine, Special Issue on Advances in Machine Learning for Remote Sensing and Geosciences, vol. 4, no. 2, pp. 79-93, June 2016.
R. C. Streijl, S. Winkler, D. S. Hands. Mean Opinion Score (MOS) revisited: Methods and applications, limitations and alternatives. Multimedia Systems Journal, vol. 22, no. 2, pp. 213-227, Feb. 2016.
S. Winkler, D. Min. Stereo/multiview picture quality: Overview and recent advances. Signal Processing: Image Communication, vol. 28, no. 10, pp. 1358-1373, Nov. 2013.
S. Winkler. Analysis of public image and video databases for quality assessment. IEEE Journal on Selected Topics in Signal Processing, Special Issue on New Subjective and Objective Methodologies for Audio and Visual Signal Processing, vol. 6, no. 6, pp. 616-625, Oct. 2012.
S. Winkler. Digital Video Quality - Vision Model and Metrics. John Wiley & Sons, January 2005.
Awards & Honours
- IEEE Fellow (class of 2018), for contributions to perceptual video quality measurement
- Best Paper Award, IEEE Transactions on Affective Computing (2017-2019)
- IT3011: Introduction to Machine Learning and Applications