Please join us for an AIR Seminar featuring Bryan Plummer (University of Illinois). Plummer completed his PhD at the University of Illinois at Urbana-Champaign advised by Svetlana Lazebnik. His thesis research has focused on the joint learning of images and text, with a general interest in visual recognition, representation learning, and computer vision for fashion.
Category: AIR Seminars
What began as a small, Hariri Institute seed-funded research project to explore new methods for analyzing social media data has grown into a Google-sponsored, award-winning research endeavor. Lei Guo, Hariri Junior Faculty Fellow and Assistant Professor of Emerging Media Studies, received a Hariri Research Incubation award in June of 2016 to pursue her proposal, Statistically Principled […]
Vijaya Kolachalama, a faculty member within the Section of Computational Biomedicine in the Boston University School of Medicine, leverages machine learning, image processing, and statistical modeling to understand pathophysiological mechanisms relevant to forecasting the likely course of various diseases. Funded through the Hariri Institute Research Incubation Award program in January of 2017, Kolachalama’s project, Machine Learning-Driven Quantification of Pathological Fibrosis […]
Regina Barzilay, professor in the Department of Electrical Engineering and Computer Science and member of the Computer Science and Artificial Intelligence Laboratory at MIT, drew a crowd of over 60 people at AIR’s first seminar of the spring semester.
This seminar will describe the speaker’s work in artistic image rendering and stylization, also called Non-Photorealistic Rendering.
This seminar will present recent long-term recurrent network models that learn cross-modal description and explanation, using implicit and explicit approaches, which can be applied to domains including fine-grained recognition and visuomotor policies.
Regina Barzilay is a professor in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Her research interests are in natural language processing.
Led by Kate Saenko, Stan Sclaroff, Brian Kulis, and Margrit Betke, the initiative was featured during the Data Science Initiative’s BUDS 2018 conference and has launched an exciting seminar series for the spring 2018 semester that will feature top AI experts from across the country.
As artificial intelligence (AI) becomes more and more commonplace, the demand for these tools to reduce mistakes and become more transparent has created a critical need for advanced research. Bolstered by a $7.55 million grant from the Defense Advanced Research Projects Agency (DARPA), Kate Saenko, assistant professor of computer science and core faculty member of the AI Research (AIR) Initiative at BU, and UC-Berkeley faculty Trevor Darrell are working to uncover new ways to understand the decision-making processes of AI tools.
Brian Kulis joined BU in the fall of 2015, bringing his expertise in machine learning and artificial intelligence (AI) to key research and teaching thrusts of the university. An assistant professor of electrical and computer engineering and the inaugural Levine Career Development Professor, Kulis leverages AI and machine learning to advance the rapidly expanding field of data science.