VASC Seminar
Frank Dellaert
Associate Professor
Georgia Tech

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 [...]

VASC Seminar
Yong Jae Lee
PhD Student
UT Austin

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 [...]

VASC Seminar
Lei Wu
Postdoc
University of Pittsburgh

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 [...]

VASC Seminar
Erik Learned-Miller
Associate Professor
University of Massachusetts, Amherst

Adaptive Image Similarity: The Sharpening Match

Event Location: NSH 1305Bio: Erik G. Learned-Miller (previously Erik G. Miller) is an Associate Professor of Computer Science at the University of Massachusetts, Amherst, where he joined the faculty in 2004. His research focusses on computer vision and machine learning. He spent two years as a post-doctoral researcher at the University of California, Berkeley, in [...]

VASC Seminar
Benjamin Sapp
PhD Student
University of Pennsylvania

Efficient Human Pose Estimation with Data-Dependent Cliques

Event Location: NSH 1305Bio: Ben Sapp is Ph.D. candidate in Computer and Information Science at the University of Pennsylvania, advised by Ben Taskar.  His work uses machine learning to tackle computer vision problems, with a focus on graphical models to solve human pose estimation in single 2-D images or video - specifically, studying how to [...]

VASC Seminar
Mikel Rodriguez
Researcher
MITRE

Data-Driven Crowd Analysis in Videos

Event Location: NSH 1305Bio: Mikel Rodriguez is a researcher at MITRE. He was a post-doctoral fellow at the INRIA Willow team at the Département d'Informatique of Ecole Normale Supérieure in Paris, France. Mikel completed his PhD in Computer Science at UCF in 2010. His research focuses mainly on video interpretation which includes tracking, visual motion [...]

VASC Seminar
Michalis Raptis
Postdoctoral Researcher
Disney Research Pittsburgh

Human Action Analysis-Understanding the spatio-temporal structure.

Event Location: NSH 1305Bio: Michalis Raptis is a Postdoctoral Researcher in Disney Research, Pittsburgh. He received the M.Sc. and the Ph.D. degree from the Computer Science Department of University of California, Los Angeles (UCLA), in 2008 and 2011 respectively. In 2006, he obtained the diploma of Electrical and Computer Engineering from the National Technical University [...]