Dr. Xavier Alameda-Pineda is a Research Scientist at Inria Grenoble. He received his PhD in mathematics and Computer Science from Université Joseph Fourier in 2013. His main research interests are machine learning for computer vision and multi-modal fusion with applications to robotics and human behavior understanding. He is the recipient of four paper awards, including IAPR ICPR 2016 and ACM Multimedia 2015. He co-organized a special session at ICMR 2017 and a workshop at ACM Multimedia 2017, on the multi-modal analysis of subjective properties of data. He was Area Chair at ICCV 2017 and Outstanding Reviewer of CVPR 2017.
Dr. Miriam Redi is a Research Scientist in the Research and Data team at the Wikimedia Foundation. Her research focuses on content-based social multimedia understanding and culture analytics. In particular, she explores ways to automatically assess visual aesthetics, sentiment and creativity, and responsibly exploit the power of computer vision in the context of web, social media, and online communities. She is the recipient of 2 paper awards, including ICWSM 2015 and ACM ICMR 2016. She co-organized a special session at ICMR 2017 and a workshop at ACM Multimedia 2017, on the multi-modal analysis of subjective properties of data. Miriam got her Ph.D. at the Multimedia group in EURECOM, Sophia Antipolis. After obtaining her PhD, she was a Research Scientist at Yahoo Labs and at Bell Labs in Cambridge, UK.
Prof. Nicu Sebe is Full Professor with the University of Trento, Italy, leading the research in the areas of multimedia information retrieval and human behavior understanding. He was the General Co- Chair of the IEEE FG Conference 2008 and ACM Multimedia 2013, and the Program Chair of the International Conference on Image and Video Retrieval in 2007 and 2010, ACM Multimedia 2007 and 2011. He is/was the Program Chair of ICCV 2017, ECCV 2016 and ICPR 2020, and a General Chair of ACM ICMR 2017. He is a fellow of the International Association for Pattern Recognition.
Prof. Shih-Fu Chang is the Sr. Executive Vice Dean and the Richard Dicker Professor of Columbia Engineering. His research is focused on multimedia information retrieval, computer vision, machine learning, and signal processing, with the goal to turn unstructured multimedia data into searchable information. For his long-term pioneering contributions, he has been awarded the IEEE Signal Processing Society Technical Achievement Award, ACM Multimedia SIG Technical Achievement Award, Honorary Doctorate from the University of Amsterdam, the IEEE Kiyo Tomiyasu Award, and IBM Faculty Award. He is a Fellow of the American Association for the Advancement of Science (AAAS) and IEEE.
Prof. Jiebo Luo is Full Professor in the Computer Science Department at the University of Rochester. Prior to that, he was a Senior Principal Scientist with the Kodak Research Laboratories. He received a BS degree and an MS degree in Electrical Engineering from the University of Science and Technology of China in 1989 and 1992, respectively, and a PhD degree in Electrical Engineering from the University of Rochester in 1995. Dr. Luo has been actively involved in numerous technical conferences, including serving as general chair of 2018 ACM Multimedia, program chair of 2010 ACM Multimedia, 2012 IEEE CVPR, 2016 ACM ICMR and 2017 IEEE ICIP. He has served on the editorial boards of the IEEE TPAMI, IEEE TMM, IEEE TCSVT. Dr. Luo is Fellow of the SPIE, IAPR and IEEE.
