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.
Dr. Diane Larlus is a senior research scientist in the Computer Vision group of Naver Labs Europe. She obtained a Ph.D. in 2008, from INP Grenoble. Her research focuses on getting a semantic and global understanding of visual scenes. She has recently worked on instance-level and semantic visual search and in representing the structure and geometry of object categories. One of her research direction is reasoning at the scene-level with images and text. She was an Outstanding Reviewer at ECCV 2016, CVPR 2017 and 2018 and is Area Chair for ICCV 2019.
Prof. Kristen Grauman is a Professor in the Department of Computer Science at the University of Texas at Austin and Research Scientist with Facebook AI Research (FAIR). She received her Ph.D. from MIT in the Computer Science and Artificial Intelligence Laboratory in 2006. Her research interests are in computer vision and machine learning. She is a Sloan Fellow and recipient of the IJCAI Computers and Thought Award, PAMI Young Researcher Award, Presidential Early Career Award for Scientists and Engineers (PECASE), the 2018 IAPR J. K. Aggarwal Prize, a 2017 Helmholtz test of time award, and best paper awards at CVPR 2008, ICCV 2011, and ACCV 2016. She serves as Associate Editor-in-Chief for PAMI. She is/was a Program Chair for CVPR 2015 and NIPS 2018.
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.