VASC Seminar
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 [...]
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 [...]
Safe and Precise Planetary Landing Technologies
Event Location: NSH3305Bio: Dr. Andrew E. Johnson graduated with Highest Distinction from the University of Kansas in 1991 with a BS in Engineering Physics and a BS in Mathematics. In 1997, he received his Ph.D. from the Robotics Institute at Carnegie Mellon University where he developed the spin-image surface signature for three dimensional object recognition [...]
Helping Each Other to See: Humans and Machines
Event Location: NSH 3305Bio: C. Lawrence Zitnick received the PhD degree in robotics from Carnegie Mellon University in 2003. His thesis focused on efficient inference algorithms for large-problem domains. Previously, his work centered on stereo vision, including the development of a commercial portable 3D camera. Currently, he is a researcher at the Interactive Visual Media [...]
Factor Graphs, Bayes Trees, and Preconditioning for SLAM and SFM
Event Location: NSH 1507Bio: Frank Dellaert is an Associate Professor in the School of Interactive Computing, College of Computing at Georgia Tech. His research is in the areas of Robotics and Computer vision. He is particularly interested in graphical model techniques to solve large-scale problems in mapping and 3D reconstruction. Abstract: Simultaneous Localization and Mapping [...]
Visual Category Discovery in Images and Videos
Event Location: GHC 4405Bio: Yong Jae Lee is PhD candidate in the ECE Department at the University of Texas at Austin working under the supervision of Kristen Grauman. His main research interests are computer vision and machine learning. Specifically, he is interested in object recognition and discovery, scene understanding, and activity recognition. His thesis focuses [...]
Visual Representation and Correlation Measurement
Event Location: NSH 1507Bio: Dr. Lei Wu is currently a Post-doctoral Research Associate in Dept. of Computer Science at University of Pittsburgh. He received Ph.D. in Dept. of Electronic Engineering and Information Science and B.S. degree in Special Class for Gifted Young (SCGY) from University of Science and Technology of China. His research interests include [...]