Invited Speakers

We have the pleasure to announce three keynote speakers in our workshop: Prof. Marco Cristani, Dr. Rogério Schmidt Feris and Prof. Tamara L. Berg.

Prof. Marco Cristani Associate Professor since 2007 at the Università degli Studi di Verona, Department of Computer Science, where he teaches different courses of Computer Science and Bioinformatics and does research within the VIsion, Processing and Sound lab (VIPS). Since 2009 is Team Leader at the Istituto Italiano di Tecnologia, Genova, Italy. His research interests regard the classification and the recognition applied to problems of computational vision, in particular probabilistic techniques for the image processing and video, applied to to video surveillance, social signal processing, bioinformatics and to the analysis of biomedical images. He is a member of IEEE, ACM and IAPR.

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Dr. Rogério Schmidt Feris is the head of computer vision and multimedia research at IBM T.J. Watson Research Center. He joined IBM in 2006 after receiving a Ph.D. from the University of California, Santa Barbara. He has also worked as an Affiliate Associate Professor at the University of Washington and as an Adjunct Associate Professor at Columbia University. Rogerio is a principal investigator of several projects within the MIT-IBM Watson AI Lab, and leads the IBM-MIT-Purdue team as part of the IARPA DIVA program. His work has been integrated into multiple IBM products, including Watson Visual Recognition, Watson Media, and Intelligent Video Analytics. He currently serves as an Associate Editor of TPAMI, has served as a Program Chair of WACV 2017, and as an Area Chair of top AI conferences, such as NeurIPS, CVPR, and ICCV. Rogerio is an IBM Master Inventor, has received an IBM Outstanding Innovation Award, and was part of the team that recently achieved top results in highly competitive benchmarks such as the KITTI and TrecVid evaluations.

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Prof. Tamara L. Berg is a Tenured Associate Professor at the computer science department at the University of North Carolina Chapel Hill (UNC) since Fall 2013. Previously, she received the B.S. in Mathematics and Computer Science from the University of Wisconsin, Madison in 2001, then completed a PhD in Computer Science from the University of California, Berkeley in 2007 under the advisorship of Professor David Forsyth as a member of the Berkeley Computer Vision Group. Her research interests lie at the boundary of computer vision and natural language processing, specifically focused on understanding the connections between these two related modalities. In order to organize, search, and exploit these enormous collections Tamara and her team work on developing methods that combine information from both the visual and textual sources effectively. Past and current projects include: automatically identifying people in news photographs, classifying images from the web, selecting aesthetically pleasing or interesting images, generating natural language descriptions for images, visual social media analysis, and recognizing clothing and style.

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