
Bob Ahl
Chuck Atkins
Michel Audette
Lisa Avila
Rick Avila
Utkarsh Ayachit
Stephen R Aylward
Adrien Bailly
Sébastien Barré
Arslan Basharat
Andrew Bauer
Jeffrey Baumes
Jacob Becker
François Bertel
Rusty Blue
Matt Bowman
Aashish Chaudhary
Harvey Cline
David Cole
Roddy Collins
Jon Crall
Katie Cronen
Naresh Cuntoor
Ann D'Alessio
Brad Davis
Dave DeMarle
Andinet Enquobahrie
Jean-Christophe Fillion-Robin
Julien Finet
Yvette Fitzgerald
Zack Galbreath
Berk Geveci
Casey Goodlett
Christopher Greco
Marcus Hanwell
Bill Hoffman
Naomi Hoffman
Anthony Hoogs
Luis Ibáñez
Julien Jomier
Steve Jordan
Brad King
Donna Kochis
Karthik Krishnan
Charles Law
Mikael Le Gall
Matt Leotta
Zhanping Liu
Pat Marion
Ken Martin
Kerri Miller
Zach Mullen
Bob O'Bara
Sangmin Oh
David Partyka
Amitha Perera
Patrick Reynolds
Niki Russell
Will Schroeder
David Stoup
Eran Swears
Matt Turek
Wes Turner
Theresa Vincent
Hua Yang
Yumin Yuan

Dr. Hoogs joined Kitware in August 2007 and formed a computer vision group that now has 12 members, most with Ph.D.’s. Over the past 17 years, he has supervised and performed research in various areas of computer vision including: event, activity and behavior recognition; motion pattern learning and anomaly detection; tracking; visual semantics; learning, image segmentation; object recognition; and content-based retrieval. He has led research projects, sponsored by DARPA, AFRL, CIA, NGA and corporate funds, that developed advanced prototypes and demonstrations installed at operational facilities.
At Kitware, Dr. Hoogs has initiated and led multiple contracts in video analysis, including Video and Imagery Retrieval and Analysis Toolkit (DARPA), Predictive Analysis for Naval Deployment Activities (DARPA), Complex Activity Recognition in Video (DARPA) and various SBIR efforts in wide-area video. At GE Global Research (1998-2007), Dr. Hoogs led a team of researchers in video and imagery analysis on projects sponsored by the US Government, Lockheed Martin and NBC Universal. His government-sponsored projects there included Video Analysis and Content Extraction (I-ARPA) and Dynamic Database (DARPA).
Dr. Hoogs received a Ph.D. in Computer and Information Science from the University of Pennsylvania in 1998; an M.S. from the University of Illinois at Urbana-Champaign in 1991; and a B.A. magna cum laude from Amherst College in 1989. He has published more than 60 papers in computer vision, pattern recognition, artificial intelligence and remote sensing. In 2009 he was an Area Chair and the Corporate Relations Chair for the IEEE Conference on Computer Vision and Pattern Recognition, as well as a Program Co-Chair for the IEEE Workshop on Applications in Computer Vision. In 2004, he organized and co-chaired the IEEE Workshop on Perceptual Organization in Computer Vision, and in 2005 he organized and co-chaired the IEEE International Workshop on Semantic Knowledge in Computer Vision. He has served on technical panels for NSF and DARPA, including DARPA Information Science and Technology (ISAT) panels in 2007 and 2009. He regularly serves on program committees for the primary computer vision conferences (ICCV, CVPR, ECCV) and is a reviewer for premier journals in computer vision and artificial intelligence (PAMI, IJCV, CVIU, MVA, TIP, TMM, AIJ).