VASC Seminar

Event Location: NSH 1507Bio: Olivier Duchenne received the M.S. degree in Computer Science and Applied Mathematics in École Normale Supérieure (ENS), in Paris in 2008. He then joined as a phD candidate the research team, WILLOW in the same university under the supervision of professor Jean Ponce. He received the best student paper, honorable mention, [...]

Abstract: We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various conditions in which images of objects are taken, etc. These are scenarios where unsupervised clustering produces inadequate codebooks because algorithms like K-means tend to cluster samples based on data biases [...]

Event Location: NSH 1507Abstract: In this talk, I will present a method to reconstruct an articulated trajectory in 3D given the 2D projection of the articulated trajectory, the 3D parent trajectory, and the camera pose at each time instant. This is a core challenge in reconstructing the 3D motion of articulated structures such as the [...]

Event Location: NSH 1507Abstract: We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered scenes contain multiple objects. Each image provides only a partial, possibly very different view of each object. An object instance discovery program must [...]

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 [...]

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 [...]

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 [...]

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 [...]

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 [...]

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 [...]