RI Seminar
Pyry Matikainen
Carnegie Mellon University

Generating Representations for Action Recognition From Coarsely Labeled and Synthetic Data

Event Location: NSH 1507Abstract: Action recognition techniques rely heavily on well chosen features, such as trajectory-based motion descriptors, to make the most of relatively scarce video training data. Typically these features must be hand-selected because the very paucity of suitably annotated data that makes the selection of features critical also restricts the degree to which [...]

RI Seminar
Dr. Harpreet S. Sawhney
Technical Director, Vision & Learning Technologies
Sarnoff Corporation, Princeton, NJ

Visual Intelligence from Video and 3D Sensor Analytics

Event Location: NSH 1305Bio: Harpreet S. Sawhney is the Technical Director of Vision & Learning Technologies at SRI-Sarnoff in Princeton, NJ. Harpreet received his Ph.D. in Computer Science (Computer Vision) in 1992 from the University of Massachusetts, Amherst. His areas of interest are Object/Event Recognition, Motion Video Analysis, 3D Modeling, Immersive Telepresence, Video Enhancement and [...]

RI Seminar
Michael Beetz
Professor
Technische Universität München

Cognition-enabled Everyday Manipulation

Event Location: NSH 3305Bio: Michael Beetz is a professor for Computer Science at the Department of Informatics of the Technische Universität Muenchen and heads the Intelligent Autonomous Systems group. He is vice coordinator of the German national cluster of excellence CoTeSys (Cognition for Technical Systems) where he is also co-coordinator of the research area “Knowledge [...]

RI Seminar
Emma Brunskill
Assistant Professor
Computer Science Department, Carnegie Mellon University

Leveraging Structure to Efficiently Make Good Decisions in an Uncertain World

Event Location: NSH 1305Bio: Emma Brunskill is an an Assistant Professor in the Computer Science Department at Carnegie Mellon University. She was previously a NSF Mathematical Sciences Postdoctoral Fellow at the University of California, Berkeley. She completed her PhD in Computer Science at MIT on a NSF Graduate Fellowship and her masters in Neuroscience at [...]

RI Seminar
Kayvon Fatahalian
Assistant Professor
Computer Science Department, Carnegie Mellon University

Evolving the OpenGL Graphics Pipeline in Pursuit of Real-Time, Film-Quality Rendering

Event Location: NSH 1305Bio: Kayvon Fatahalian is an Assistant Professor in the Computer Science Department at Carnegie Mellon University. His research focuses on the design of programming abstractions and efficient parallel systems for computer-intensive applications such as interactive computer graphics.Abstract: In the past fifteen years the capabilities of real-time graphics systems have increased rapidly as [...]

RI Seminar
Ariel Procaccia
Assistant Professor
Computer Science Department, Carnegie Mellon University

AI and Economics: The Dynamic Duo

Event Location: NSH 1305Bio: Ariel Procaccia is an Assistant Professor in the Computer Science Department at Carnegie Mellon University. His research interests include the (pairwise) intersections of AI, social choice, and game theory. He received his Ph.D. in computer science from the Hebrew University of Jerusalem, and was subsequently a postdoc at Microsoft and Harvard. [...]

RI Seminar
Dr. Fawzi Nashashibi
Senior Researcher and Program Manager
IMARA research Team at INRIA

Towards true autonomous mobility services in cities – A European view through INRIA experience

Event Location: 1305 Newell Simon HallBio: Fawzi Nashashibi, 45 years, is a senior researcher and the Program Manager of IMARA research Team at INRIA since January 2011. He has been senior researcher in the robotics centre of the École des Mines de Paris (Mines ParisTech) since 1994 and is an R&D engineer and a project [...]

RI Seminar
Steven Dow
Assistant Professor
HCI Institute, CMU

How Prototyping Practices Affect Design Results

Event Location: NSH 1305Bio: Steven is an Assistant Professor at the HCI Institute at Carnegie Mellon University where he researches human-computer interaction, creative problem-solving, prototyping practices, and crowdsourcing methods. He is recipient of Stanford's Postdoctoral Research Award and co-recipient of a Hasso Plattner Design Thinking Research Grant. He received an MS and PhD in Human-Centered [...]

RI Seminar
Daphne Koller
Rajeev Motwani Professor
Stanford

Learning Richly Structured Representations From Weakly Annotated Data

Event Location: McConomy Auditorium, First Floor University CenterBio: Daphne Koller is the Rajeev Motwani Professor in the Computer Science Department at Stanford University. Her main research interest is in developing and using machine learning and probabilistic methods to model and analyze complex domains. Her current research projects include models in computational biology, computational medicine, and [...]

RI Seminar
Guido Bugmann
Associate Professor
University of Plymouth UK

A deep spiking network model for fast stimulus-response association learning

Event Location: NSH 1305Bio: Guido Bugmann is an associate professor (Reader) in Intelligent Systems at the University of Plymouth's School of Computing and Mathematics where he develops human-robot dialogue systems, vision-based navigation systems for wheeled and humanoid robots, and investigates computational properties of biological vision and decision making. He previously worked at the Swiss Federal [...]