Scholar
Anthony Hoogs
Google Scholar ID: yZ5WqE4AAAAJ
Senior Director of Computer Vision, Kitware, Inc.
Citations & Impact
Citations
1,920
H-index
21
i10-index
29
Publications
20
Co-authors
19
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- - Published over 100 papers in computer vision, AI, remote sensing, and environmental monitoring
- - Awarded over $100M in federal R&D funding, collaborating with more than 25 universities and dozens of industry subcontractors
- - Actively involved in the computer vision and AI communities, serving on committees, co-chairing, and co-organizing conferences and workshops such as ICCV, CVPR, ECCV, WACV, AAAI, NeurIPS, and ICLR
- - Delivered numerous invited talks and lectures at academic and research institutions worldwide and has been interviewed by the press many times
- - Reviewer for premier journals in computer vision
Research Experience
- - Vice President of Artificial Intelligence at Kitware, leading the Computer Vision Team
- - Led multiple projects funded by government and commercial companies, such as DARPA, AFRL, NGA, ONR, and IARPA
- - Principal Investigator on large DARPA programs including Media Forensics, Science of AI and Learning for Open-World Novelty, Squad-X, Persistent Stare Exploitation and Analysis System, and Video and Image Retrieval and Analysis Tool
- - Prior to joining Kitware, led a team of researchers in video and imagery analysis at GE Global Research from 1998-2007, working on projects sponsored by the U.S. Government, Lockheed Martin, and NBC Universal
Education
- - Ph.D. in Computer and Information Science, University of Pennsylvania
- - M.S. in Computer Science, University of Illinois at Urbana-Champaign
- - B.A. in Mathematics and Computer Science, Amherst College
Background
- Vice President of Artificial Intelligence at Kitware, leading the Computer Vision Team. Research interests include: ethical and explainable AI, environmental monitoring, remote sensing, disinformation detection, event, activity, and behavior recognition, deep learning, anomaly detection, object detection, segmentation, recognition, and tracking, and content-based retrieval.
