Feature Seeding for Action Recognition
Event Location: NSH 1507Abstract: Progress in action recognition has been in large part due to advances in the features that drive learning-based methods. However, the relative sparsity of training data and the risk of overfitting have made it difficult to directly search for good features. In this work we suggest using synthetic data to search [...]
Behavioral Correlates of Hippocampal Neural Sequences
Event Location: NSH 3305Abstract: Sequences of neural activity representing paths in an environment are expressed in the rodent hippocampus at three distinct time scales, with different hypothesized roles in hippocampal function. As an animal moves through an environment and passes through a series of place fields, place cells activate and deactivate in sequence, at the [...]
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. [...]
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 [...]
Neural Mechanisms Underlying Contextual Associative Processing
Event Location: NSH 1507Bio: Elissa Aminoff received her Ph.D. from Harvard University in 2008 under the mentorship of Dr. Moshe Bar and Dr. Daniel Schacter. Her dissertation work focused on uncovering the neural mechanisms underlying contextual associative processing and the insights this provides in visual object recognition and memory related processing. From 2008 to the [...]
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 [...]
Inference Machines: Parsing Scenes via Iterated Predictions
Event Location: NSH 3305Abstract: Semantic understanding of the environment is critical for many robotic tasks such as path planning, mapping, and object tracking. While important progress has been made, extracting a rich representation of the environment remains a challenging problem. This process includes not only recognizing individual objects but also understanding the contextual relations among [...]
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 [...]
The Next Generation of Facial Expression Recognition Systems
Event Location: NSH 1507Bio: Dr. Michel F. Valstar is currently a Visiting Researcher at MIT's Media Lab, and a Research Associate in the intelligent Behaviour Understanding Group (iBUG) at Imperial College London. He received his masters degree in Electrical Engineering at Delft University of Technology in 2005 and his PhD in computer science at Imperial [...]
Heads-up, hands-free operation of UGVs through Embedded Computer Vision
Event Location: GHC 4405Bio: Dr. Geyer a Senior Lead Research Scientist at iRobot Corporation, and since joining iRobot in 2008 has lead efforts in perception on mobile platforms, especially in the area of computer vision. Prior to joining iRobot, he was a Project Scientist in the Robotics Institute at Carnegie Mellon University, where he participated [...]