Anthony Hoogs, Ph.D.

Vice President of Artificial Intelligence

Board of Directors
Company Leadership
Computer Vision

Kitware New York
Clifton Park, NY

Service at Kitware

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 in Computer Science
Amherst College

Anthony Hoogs, Ph.D. is the vice president of artificial intelligence at Kitware. He also leads Kitware’s Computer Vision Team, which has grown to more than 60 people, including 25 Ph.D.s. For more than three decades, Anthony has supervised and performed research in various areas of computer vision and AI, including: 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. He has led dozens of projects sponsored by commercial companies and government entities, including the Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory (AFRL), National Geospatial-Intelligence Agency (NGA), Office of Naval Research (ONR), and Intelligence Advanced Research Projects Activity (IARPA), that range from academic research to developing advanced prototypes and operational systems. He has been the principal investigator on large DARPA programs, including Media Forensics, Science of AI and Learning for Open-World Novelty, Squad-X, the Persistent Stare Exploitation and Analysis System, and the Video and Image Retrieval and Analysis Tool. His team has been awarded over $100M in federal R&D funding, including collaborations with more than 25 universities and dozens of industry subcontractors.

Anthony is actively involved in the computer vision and AI communities, including serving on committees, co-chairing, and co-organizing conferences and workshops such as the National Academies National Research Council, International Conference on Computer Vision (ICCV), Conference on Computer Vision and Pattern Recognition (CVPR), European Conference on Computer Vision (ECCV), IEEE/CVF Winter Conference (WACV), AAAI Conference on Artificial Intelligence (AAAI), Conference on Neural Information Processing Systems (NeurIPS), and International Conference on Learning Representations (ICLR). Anthony has served on technical panels for the National Science Foundation (NSF) and DARPA, including the DARPA Information Science and Technology (ISAT), where he initiated and led a study on ethical AI in defense and security.

Anthony has also given dozens of invited talks and lectures at academic and research institutions worldwide on topics in computer vision and AI and has been interviewed by the press many times. He has published more than 100 papers in computer vision, AI, remote sensing and environmental monitoring and is a reviewer for premier journals in computer vision.

Prior to joining Kitware, Anthony led a team of researchers in video and imagery analysis at GE Global Research from 1998-2007. His projects were sponsored by the U.S. Government, Lockheed Martin, and NBC Universal. His government-sponsored projects there included Video Analysis and Content Extraction (IARPA) and Dynamic Database (DARPA).

Anthony received his Ph.D. in computer and information science from the University of Pennsylvania in 1998. In 1991, he received his master’s degree in computer science from the University of Illinois at Urbana-Champaign, and in 1989 he received his bachelor’s degree, magna cum laude, from Amherst College for mathematics in computer science.

Awards

Best Industry Related Paper Award presented by the IEEE/IAPR International Conference on Pattern Recognition, 2014

S. Oh, M. Pandey, I. Kim, A. Hoogs, and J. Baumes, “Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency,” in Proceedings of the IEEE International Conference on Pattern Recognition, 2014. Winner, Best Industry-Related Paper Award. [URL]
Best Paper Honorable Mention presented by WACV, 2017

M. Dawkins, L. Sherrill, K. Fieldhouse, A. Hoogs, B. Richards, D. Zhang, L. Prasad, K. Williams, N. Lauffenburger, and G. Wang, “An open-source platform for underwater image and video analytics,” in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2017. Winner, Best Paper Honorable Mention. [URL]
Outstanding Reviewer presented by CVPR 2014, 2021
Outstanding Program Committee Member presented by AAAI, 2018

Invited Talks & Media

Invited Panelist, DARPA Connect in Albany NY, DARPA Performer Stories Panel. November 2024.
Invited Panelist, Computer Vision for Ecology Workshop at ECCV. October 2024.
Keynote talk, “Improving Visual AI Models with Synthetic, Hybrid and Perturbed Training Data.” SPIE Defense and Commercial Sensing Symposium, Conference on Synthetic Data for AIML. April 2024.
Invited Master Practitioner Seminar at RPI ECE Department. “Ethical AI in Critical Applications.” March 2024.
Moderator, Plenary Panel on “Innovation in Computer Vision: What Works and What Doesn’t”. WACV 2024.
Moderator, Plenary Panel on “Innovation in Computer Vision: What Works and What Doesn’t”. WACV, January 2024.
Invited panelist, AAAI Fall Symposium on Assured and Trustworthy Human-centered AI. October 2023.
Invited talk, Army Strategy Planning and Science Meeting on Large Pre-Trained Models for DoD AI/ML: Opportunities, Challenges, and Applications. “AI Explainability, Ethics and T&E.” November 2023.
Invited talk, Office of the Undersecretary of Defense for Research and Engineering, Defense Technology Review in Trusted AI and Autonomy. “Few-Shot, Iterative Learning at the Edge.” June 2023.
Invited talk, Office of the Undersecretary of Defense for Research and Engineering, Defense Technology Review in Trusted AI and Autonomy. “Improving Deep Models for Visual Detection and Classification with Synthetic, Hybrid and Perturbed Training Data.” June 2023.

Professional Associations & Service

Program Committee Member for CVPR, 2001 – present
Program Committee Member for ICCV, 2001 – present
Program Committee Member for ECCV, 2006 – present
Program Committee Member for AAAI, 2015 – present
Program Committee Member for ICLR, 2022 – present
Program Committee Member for NeurIPS, 2022 – present
Area Chair for CVPR [2009, 2010, 2012, 2018, 2019, 2020, 2023, 2024 (Senior AC), 2025 (Lead AC)]
Area Chair for ECCV [2024 (Lead AC)]
Area Chair for NeurIPS [2024]
Co-Chair, Workshop on Human Activity Detection in multi-camera, Continuous, long-duration Video (HADCV) at WACV [2019-2021]
Member of the Computer Vision Foundation Advisory Board [2016-2020]
Member of DARPA Information Science and Technology (ISAT) panel [2017-2020]
General Co-Chair for the IEEE Workshop on Information Forensics and Security [2020]
Member of the Steering Committee for the Automated Imagery Analysis Strategic Initiative, NOAA National Marine Fisheries Service [2015 – 2019]
Organizer and Co-Chair, CVPR Workshop on Automated Analysis of Marine Video for Environmental Monitoring [2018-2019]
General Co-Chair for WACV [2016 and 2018]
Member of the Steering Committee for WACV [2011-2018]
Workshop Planning Committee Member, National Academies Workshop on Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies [2018]
General Co-Chair for the CVPR [2017]
Co-Chair and Organizer of the Workshop on Automated Analysis of Video Data for Wildlife Surveillance at WACV [2015-2017]
Organizer, Tutorial on Open Source Software and Datasets for Wildlife Video Surveillance at ICCV [2017]
Workshop Planning Committee Member, National Academies Workshop on Ensuring the Quality of Machine-Generated Analytic Products from Multi-source Data [2017]
Co-Chair of the Workshop on Applications for Aerial Video Exploitation at WACV [2015]
Workshop Planning Committee Member and Co-Organizer, National Research Council Workshop on Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment [2014]
Corporate Relations Chair for the International Conference on Computer Vision [2013]
Workshops Co-Chair for CVPR [2012]
Program Co-Chair for WACV [2009, 2011]
Co-Chair of the Workshop on Activity Recognition at CVPR [2011]
Corporate Relations Chair for CVPR [2009, 2010]

Publications

D. Melamed, C. Johnson, I. Gerg, Chen Zhao, R. Blue, A. Hoogs, Brian Clipp, and P. Morrone, "UNCOVERING BIAS IN BUILDING DAMAGE ASSESSMENT FROM SATELLITE IMAGERY," in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2024.
A. Mankowski, P. Gurram, J. Crall, S. McCloskey, and A. Hoogs, "Transformers for Small Object Detection and Tracking in OPIR Imagery," in Proceedings of the National Security Sensor and Data Fusion Committee, 2023.
C. Funk, D. Depauw, K. Fieldhouse, and E. Blasch, "Fog-Assisted Autoencoder for Enhanced Multi-INT Targeting," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
J. Parham, D. Joy, P. Gurram, S. Brockman, R. Blue, A. Hoogs, B. Minnehan, S. Thomas, C. Liberatore, R. Profeta, and T. Rovito, "From Commercial Satellites to National Defense: A Review of VIGILANT for Object Detection, Classification, Mensuration, and Patch-based Search in Satellite Imagery," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
D. Melamed, C. Johnson, S. Brockman, R. Blue, A. Hoogs, P. Morrone, and B. Clipp, "Rapid Training of Artificial Intelligence Battle Damage Assessment Tools to New Conflicts," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
C. Funk, B. Clipp, and A. Hoogs, "Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
S. McCloskey, B. RichardWebster, R. Collins, and A. Hoogs, "Subject Identification up to 1km: Performer Perspective on the IARPA BRIAR Program," in Proceedings of the National Security Sensor and Data Fusion Committee (NSSDF), 2023.
B. Hu, P. Tunison, B. RichardWebster, and A. Hoogs, "Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency," Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 13, pp. 15760-15766, Jun. 2023. [URL]
C. Zhao, D. Du, A. Hoogs, and C. Funk, "Open Set Action Recognition via Multi-Label Evidential Learning," in 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [URL]
D. Du, C. Funk, K. Doctor, and A. Hoogs, "Novel Object Detection in Remote Sensing Imagery," in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023. [URL]
D. Du, A. Shringi, A. Hoogs, and C. Funk, "Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition," in 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [URL]
D. Davila, D. Du, B. Lewis, C. Funk, J. Van Pelt, R. Collins, K. Corona, M. Brown, S. McCloskey, A. Hoogs, and B. Clipp, "MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification," in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. [URL]
D. Du, C. Funk, and A. Hoogs, "Novelty Detection in Remote Sensing Imagery," in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022. [URL]
B. Ravichandran, R. Collins, K. Fieldhouse, K. Corona, and A. Hoogs, "From Leaderboard To Operations: DIVA Transition Experiences," in 2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022. [URL]
C. Zhao, F. Chen, X. Wu, C. Funk, and A. Hoogs, "1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22)," in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022. [URL]
C. Long, A. Basharat, and A. Hoogs, "Video Frame Deletion and Duplication," in Multimedia Forensics. Springer Singapore, 2022, pp. 333-362. [URL]
B. RichardWebster, B. Hu, K. Fieldhouse, and A. Hoogs, "Doppelganger Saliency: Towards More Ethical Person Re-Identification," in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022. [URL]
R. Yu, D. Du, R. LaLonde, D. Davila, C. Funk, A. Hoogs, and B. Clipp, "Cascade Transformers for End-to-End Person Search," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. [URL]
B. Hu, B. Vasu, and A. Hoogs, "X-MIR: EXplainable Medical Image Retrieval," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. [URL]
B. Hu, P. Tunison, B. Vasu, N. Menon, R. Collins, and A. Hoogs, "XAITK: The explainable AI toolkit," Applied AI Letters, Oct. 2021. [URL]
B. Vasu, B. Hu, B. Dong, R. Collins, and A. Hoogs, "Explainable, interactive content‐based image retrieval," Applied AI Letters, Nov. 2021. [URL]
M. Brown, K. Fieldhouse, A. Romlein, D. Davila, E. Borovikov, A. Lynch, and A. Hoogs, "Person Tracking, Re-identification, and Threat Detection by Autonomous Unmanned Systems within Complex Urban Environments," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2021.
K. Corona, K. Osterdahl, R. Collins, and A. Hoogs, "MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021. [URL]
B. Richards, A. Hoogs, M. Dawkins, J. Taylor, S. Smith, J. Ault, and M. Seki, "Advanced Camera Technologies and Artificial Intelligence to Improve Marine Resource Surveys," in Ocean Sciences Meeting, 2020. [URL]
A. Hoogs, M. Dawkins, B. Richards, G. Cutter, D. Hart, M. Clarke, W. Michaels, J. Crall, L. Sherrill, N. Siekierski, M. Woehlke, and K. Edwards, "An Open-Source System for Do-It-Yourself AI in the Marine Environment," in Ocean Sciences Meeting, 2020. [URL]
A. Powell, M. Clarke, M. Dawkins, B. Richards, and A. Hoogs, "Moving Towards Machine Learning for the Analysis of Deep-Sea Imagery Collected by Autonomous Underwater Vehicle," in Ocean Sciences Meeting, 2020. [URL]
A. Islam, C. Long, A. Basharat, and A. Hoogs, "Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020.
B. Vasu, J. Barnett, R. Collins, and A. Hoogs, "Explainability for Content-Based Image Retrieval," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2019.
B. Dong, R. Collins, and A. Hoogs, "Explainability for Content-Based Image Retrieval," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Explainable Artificial Intelligence (AI), 2019.
M. Brown, K. Fieldhouse, E. Swears, P. Tunison, A. Romlein, and A. Hoogs, "Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance," in 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019. [URL]
B. Richards, O. Beijbom, M. Campbell, M. Clarke, G. Cutter, M. Dawkins, D. Edington, D. Hart, M. Hill, A. Hoogs, D. Kriegman, E. Moreland, T. Oliver, W. Michaels, M. Placentino, A. Rollo, C. Thompson, F. Wallace, I. Williams, and K. Williams, "Automated Analysis of Underwater Imagery: Accomplishments, Products, and Vision," NOAA technical memorandum NMFS PIFSC, 2019. [URL]
C. Funk, J. Crall, W. Hicks, C. Law, P. Tunison, R. Blue, A. Hoogs, T. Rovito, and A. Maltenfort, "WEFT Feature Detection and Mensuration for Airplane Classification in Satellite Imagery," in MSS National Symposium on Sensor and Data Fusion, 2019.
C. Long, A. Basharat, and A. and Hoogs, "A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019.
C. Long, R. Collins, E. Swears, and A. Hoogs, "Deep Neural Networks In Fully Connected CRF For Image Labeling With Social Network Metadata," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.
R. Collins, K. Osterdahl, A. Shringi, K. Corona, R. Meth, and A. Hoogs, "Data, Algorithms, and Framework for Automated Analytics of Surveillance Camera Networks," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018. [URL]
C. Law, R. Blue, D. Stoup, P. Tunison, A. Hoogs, B. Vasu, J. Van Cor, J. Kerekes, A. Savakis, T. Rovito, C. Stansifer, and S. Thomas, "Deep Learning for Object Detection and Classification in Satellite Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
J. Crall, J. Becker, P. Tunison, M. Dawkins, A. Basharat, R. Blue, M. Turek, and A. Hoogs, "Deep Learning for Small Object Detection in Satellite Infrared Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
M. Brown, K. Fieldhouse, E. Swears, P. Tunison, A. Romlein, and A. Hoogs, "Multi-Modal Detection Fusion on Mobile UGV for Squad-Level Threat Alerting," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
A. Basharat, P. Tunison, and A. Hoogs, "Rapid Learning of Maritime Scenes Through Query Refinement," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
M. Phillips, R. Blue, M. Turek, A. Hoogs, and T. Rovito, "Satellite Image Patch Classification Using Deep Neural Networks," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
Z. Sun and A. Hoogs, "Compact image representation by binary component analysis," in Proceedings of the IEEE International Conference on Image Processing, 2017. [URL]
E. Wengrowski, Z. Sun, and A. Hoogs, "Reflection correspondence for exposing photograph manipulation," in Proceedings of the IEEE International Conference on Image Processing, 2017. [URL]
M. Dawkins, L. Sherrill, K. Fieldhouse, A. Hoogs, B. Richards, D. Zhang, L. Prasad, K. Williams, N. Lauffenburger, and G. Wang, "An open-source platform for underwater image and video analytics," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2017. Winner, Best Paper Honorable Mention. [URL]
C. Long, E. Smith, A. Basharat, and A. Hoogs, "A C3D-based convolutional neural network for frame dropping detection in a single video shot," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Media Forensics, 2017. [URL]
Z. Sun and A. Hoogs, "Object insertion and removal in images with mirror reflection," in Proceedings of the IEEE Workshop on Information Forensics and Security, 2017. [URL]
K. Fieldhouse, A. Hoogs, and E. Swears, "Linking Unmanned Systems, Visible and IR Video, Computer Vision, and Humans Together for Real-Time, Squad-Level, Battlefield Situational Awareness: THreat Reconnaissance and Exploitation from Audio-video Target eXtraction (THREAT X)," in AUVSI XPONENTIAL Conference, 2017.
J. Moeller, E. Smith, A. Basharat, M. Turek, A. Hoogs, and E. Blasch, "Automatic pattern of life learning in satellite images through graph kernels," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
C. Law, J. Parham, M. Dawkins, P. Tunison, D. Stoup, R. Blue, K. Fieldhouse, M. Turek, A. Hoogs, S. Han, A. Farafard, J. Kerekes, E. Lentilucci, M. Gartley, T. Savakis, T. Rovito, S. Thomas, and C. Stansifer, "Deep learning for object detection and object-based change detection in satellite imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
K. Fieldhouse, A. Hoogs, and E. Swears, "Fusing Visible and Infrared (IR) Video on Mobile Robots, UAVs and Warfighters for Real-Time, Squad-Level Situational Awareness," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
M. Dawkins, R. Collins, and A. Hoogs, "Using Convolutional Neural Networks for Content-Based FMV Retrieval," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2017.
R. Porter, A. Basharat, R. Collins, M. Turek, and A. Hoogs, "Training and evaluating object detection pipelines with connected components," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2016. [URL]
S. Oh, M. Pandey, I. Kim, and A. Hoogs, "Image-oriented economic perspective on user behavior in multimedia social forums: An analysis on supply, consumption, and saliency," Pattern Recognition Letters, vol. 72, pp. 33-40, Mar. 2016. [URL]
M. Dawkins, A. Basharat, J. Becker, M. Turek, and A. Hoogs, "Deep architecture for small mover detection in overhead infrared imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
P. Tunison, M. Turek, and A. Hoogs, "Functional scene element modeling for ISR data," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
Z. Sun, J. Baumes, P. Tunison, M. Turek, and A. Hoogs, "Tattoo detection and localization using region-based deep learning," in Proceedings of the IEEE International Conference on Pattern Recognition, 2016. [URL]
M. Dawkins, Z. Sun, J. Becker, A. Basharat, A. Hoogs, and M. Turek, "Track Object Type Classification Across a Range of Scales and Types of Video," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2016.
M. Turek, A. Basharat, K. Fieldhouse, P. Tunison, D. Stoup, C. Atkins, and A. Hoogs, "Real-time, full-frame wide area motion imagery analytics," in Proceedings of the MSS National Symposium on Passive Sensors, 2015.
A. Hoogs, A. Perera, R. Collins, A. Basharat, K. Fieldhouse, C. Atkins, L. Sherrill, B. Boeckel, R. Blue, M. Woehlke, C. Greco, Z. Sun, E. Swears, N. Cuntoor, J. Luck, B. Drew, D. Hanson, D. Rowley, J. Kopaz, T. Rude, D. Keefe, A. Srivastava, S. Khanwalkar, A. Kumar, C. Chen, J. Aggarwal, L. Davis, Y. Yacoob, A. Jain, D. Liu, S. Chang, B. Song, A. Roy-Chowdhury, K. Sullivan, J. Tesic, S. Chandrasekaran, B. Manjunath, X. Wang, Q. Ji, K. Reddy, J. Liu, M. Shah, K. Chang, T. Chen, and M. Desai, "An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2015. [URL]
K. Fieldhouse, M. Leotta, A. Basharat, R. Blue, D. Stoup, C. Atkins, L. Sherrill, B. Boeckel, P. Tunison, J. Becker, M. Dawkins, M. Woehlke, R. Collins, M. Turek, and A. Hoogs, "KWIVER: An open source cross-platform video exploitation framework," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2014. [URL]
E. Swears, A. Basharat, A. Hoogs, and E. Blasch, "Probabilistic sub-GRAph Matching (PGRAM) for video and text fusion," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2014.
A. Basharat, M. Turek, Y. Xu, C. Atkins, D. Stoup, K. Fieldhouse, P. Tunison, and A. Hoogs, "Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014. [URL]
E. Swears, A. Hoogs, Q. Ji, and K. Boyer, "Complex Activity Recognition Using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014. [URL]
M. Dawkins, Z. Sun, A. Basharat, A. Perera, and A. Hoogs, "Tracking nautical objects in real-time via layered saliency detection," in SPIE Defense, Security, and Sensing Motion Imagery for ISR and Situational Awareness, 2014. [URL]
E. Blasch, J. Nagy, A. Aved, E. Jones, W. Pottenger, A. Basharat, A. Hoogs, M. Schneider, R. Hammoud, G. Chen, D. Shen, and H. Ling, "Context aided video-to-text information fusion," in International Conference on Information Fusion, 2014.
Z. Sun, M. Leotta, A. Hoogs, R. Blue, R. Neuroth, J. Vasquez, A. Perera, M. Turek, and E. Blasch, "Vehicle change detection from aerial imagery using detection response maps," in SPIE Defense, Security, and Sensing Motion Imagery for ISR and Situational Awareness, 2014. [URL]
Y. Xu, A. Basharat, J. Becker, and A. Hoogs, "Complex algorithm optimization through probabilistic search of its configuration tree," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2014. [URL]
M. Dawkins, A. Perera, and A. Hoogs, "Real-time heads-up display detection in video," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2014. [URL]
S. Oh, M. Pandey, I. Kim, A. Hoogs, and J. Baumes, "Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency," in Proceedings of the IEEE International Conference on Pattern Recognition, 2014. Winner, Best Industry-Related Paper Award. [URL]
Y. Xu, D. Song, and A. Hoogs, "An Efficient Online Hierarchical Supervoxel Segmentation Algorithm for Time-critical Applications," in Proceedings of the British Machine Vision Conference, 2014. [URL]
M. Dawkins and A. Hoogs, "Automatic image-plane aligned obstruction detection in EO and IR video," in Proceedings of the MSS National Symposium on Passive Sensors, 2014.
F. Porikli, F. Bremond, S. Dockstader, J. Ferryman, A. Hoogs, B. Lovell, S. Pankanti, B. Rinner, P. Tu, and P. Venetianer, "Video surveillance: past, present, and now the future [DSP Forum]," IEEE Signal Processing Magazine, vol. 30, no. 3, pp. 190-198, May 2013. [URL]
E. Swears, A. Hoogs, and R. Blue, "Recognizing Activity Based Scene Elements in Video," in Automatic Target Recognition Working Group, 2013.
Y. Xu, S. Oh, and A. Hoogs, "A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013. [URL]
E. Swears, A. Hoogs, and K. Boyer, "Pyramid Coding for Functional Scene Element Recognition in Video Scenes," in Proceedings of the IEEE International Conference on Computer Vision, 2013. [URL]
Y. Xu, S. Oh, F. Yang, Z. Jiang, N. Cuntoor, A. Hoogs, and L. Davis, "System and algorithms on detection of objects embedded in perspective geometry using monocular cameras," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2013. [URL]
M. Ryoo, A. Hoogs, A. Basharat, and S. Oh, "Human activity recognition for visual surveillance," presented at 2012 9th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2012. [URL]
K. Reddy, N. Cuntoor, A. Perera, and A. Hoogs, "Human Action Recognition in Large-Scale Datasets Using Histogram of Spatiotemporal Gradients," in Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2012. [URL]
N. Cuntoor, R. Collins, and A. Hoogs, "Human-robot teamwork using activity recognition and human instruction," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012. [URL]
E. Swears and A. Hoogs, "Learning and recognizing complex multi-agent activities with applications to american football plays," in Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012. [URL]
E. Swears, M. Turek, R. Collins, A. Perera, and A. Hoogs, "Automatic activity profile generation from detected functional regions for video scene analysis," in Video Analytics for Business Intelligence. Springer, 2012, pp. 241-269. [URL]
A. Perera, S. Oh, M. P, T. Ma, A. Hoogs, A. Vahdat, K. Cannons, G. Mori, S. Mccloskey, B. Miller, S. Venkatesh, P. Davalos, P. Das, C. Xu, J. Corso, R. Srihari, I. Kim, Y. Cheng, Z. Huang, C. Lee, K. Tang, L. Fei-fei, and D. Koller, "TRECVID 2012 GENIE: multimedia event detection and recounting," in NIST TRECVID Workshop, 2012.
S. Oh, A. Hoogs, A. Perera, N. Cuntoor, C. Chen, J. Lee, S. Mukherjee, J. Aggarwal, H. Lee, L. Davis, E. Swears, X. Wang, Q. Ji, K. Reddy, M. Shah, C. Vondrick, H. Pirsiavash, D. Ramanan, J. Yuen, A. Torralba, B. Song, A. Fong, A. Roy-Chowdhury, and M. Desai, "A large-scale benchmark dataset for event recognition in surveillance video," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011. [URL]
E. Swears and A. Hoogs, "Complex Activity Recognition using Granger Constrained Dynamic Bayesian Network," in Learning Workshop, Fort Lauderdale Florida, 2011.
M. Turek, A. Hoogs, and R. Collins, "Unsupervised Learning of Functional Categories in Video Scenes," in Proceedings of the European Conference on Computer Vision, 2010. [URL]
Z. Sun and A. Hoogs, "Image comparison by compound disjoint information with applications to perceptual visual quality assessment, image registration and tracking," International Journal of Computer Vision, vol. 88, no. 3, pp. 461-488, Jul. 2010. [URL]
N. Cuntoor, A. Basharat, A. Perera, and A. Hoogs, "Track Initialization in Low Frame Rate and Low Resolution Videos," in Proceedings of the IEEE International Conference on Pattern Recognition, 2010. [URL]
S. Oh and A. Hoogs, "Unsupervised Learning of Activities in Video Using Scene Context," in Proceedings of the IEEE International Conference on Pattern Recognition, 2010. [URL]
S. Oh, A. Hoogs, M. Turek, and R. Collins, "Content-Based Retrieval of Functional Objects in Video Using Scene Context," in Proceedings of the European Conference on Computer Vision, 2010. [URL]
E. Swears and A. Hoogs, "Functional scene element recognition for video scene analysis," in Proceedings of the IEEE Workshop on Motion and Video Computing, 2009. [URL]
A. Perera, R. Collins, and A. Hoogs, "Evaluation of compression schemes for wide area video," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2008. [URL]
K. Barnard, Q. Fan, R. Swaminathan, A. Hoogs, R. Collins, P. Rondot, and J. Kaufhold, "Evaluation of localized semantics: data, methodology, and experiments," International Journal of Computer Vision, vol. 77, no. 1, pp. 199-217, May 2008. [URL]
A. Hoogs and A. Perera, "Video Activity Recognition in the Real World," in Proceedings of the AAAI National Conference on Artificial Intelligence, 2008. [URL]
A. Hoogs, S. Bush, G. Brooksby, A. Perera, M. Dausch, and N. Krahnstoever, "Detecting Semantic Group Activities Using Relational Clustering," in Proceedings of the IEEE Workshop on Motion and Video Computing, 2008. [URL]
E. Swears, A. Hoogs, and A. Perera, "Learning Motion Patterns in Surveillance Video using HMM Clustering," in Proceedings of the IEEE Workshop on Motion and Video Computing, 2008. [URL]
F. Wheeler and A. Hoogs, "Moving Vehicle Registration and Super-Resolution," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2007. [URL]
M. Chan, A. Hoogs, Z. Sun, J. Schmiederer, R. Bhotika, and G. Doretto, "Event recognition with fragmented object tracks," in Proceedings of the IEEE International Conference on Pattern Recognition, 2006. [URL]
A. Perera, A. Hoogs, C. Srinivas, G. Brooksby, and W. Hu, "Evaluation of Algorithms for Tracking Multiple Objects in Video," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2006. [URL]
M. Chan, A. Hoogs, R. Bhotika, A. Perera, J. Schmiederer, and G. Doretto, "Joint Recognition of Complex Events and Track Matching," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006. [URL]
A. Perera, G. Brooksby, A. Hoogs, and G. Doretto, "Moving Object Segmentation using Scene Understanding," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2006. [URL]
J. Kaufhold, R. Collins, A. Hoogs, and P. Rondot, "Recognition and Segmentation of Scene Content using Region-Based Classification," in Proceedings of the IEEE International Conference on Pattern Recognition, 2006. [URL]
Z. Sun and A. Hoogs, "Image comparison by compound disjoint information," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006. [URL]
A. Perera, C. Srinivas, A. Hoogs, G. Brooksby, and W. Hu, "Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006. [URL]
A. Hoogs and R. Collins, "Object Boundary Detection in Images using a Semantic Ontology," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2006. [URL]
A. Hoogs, M. Chan, R. Bhotika, and J. Schmiederer, "Recognizing complex behaviors in aerial video," in Internation Conference on Interlligence Analysis, 2005.
R. Kaucic, A. Perera, G. Brooksby, J. Kaufhold, and A. Hoogs, "A Unified Framework for Tracking through Occlusions and across Sensor Gaps," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005. [URL]
M. Chan, A. Hoogs, J. Schmiederer, and M. Petersen, "Detecting rare events in video using semantic primitives with HMM," in Proceedings of the IEEE International Conference on Pattern Recognition, 2004. [URL]
J. Kaufhold and A. Hoogs, "Learning to segment images using region-based perceptual features," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2004. [URL]
A. Perera and A. Hoogs, "Bayesian object-level change detection in grayscale imagery," in Proceedings of the IEEE International Conference on Pattern Recognition, 2004. [URL]
J. Rittscher, A. Blake, A. Hoogs, and G. Stein, "Mathematical modelling of animate and intentional motion," Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 358, no. 1431, pp. 475-490, Mar. 2003. [URL]
G. Stein, J. Rittscher, and A. Hoogs, "Enabling video annotation using a semantic database extended with visual knowledge," in International Conference on Multimedia and Expo, 2003. [URL]
A. Hoogs, R. Collins, R. Kaucic, and J. Mundy, "A common set of perceptual observables for grouping, figure-ground discrimination, and texture classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 4, pp. 458-474, Apr. 2003. [URL]
A. Hoogs, J. Rittscher, G. Stein, and J. Schmiederer, "Video content annotation using visual analysis and a large semantic knowledgebase," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003. [URL]
A. Hoogs, R. Collins, and R. Kaucic, "Classification of 3D macro texture using perceptual observables," in Proceedings of the IEEE International Conference on Pattern Recognition, 2002. [URL]
A. Hoogs, R. Kaucic, and R. Collins, "Using video for recovering texture," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2001. [URL]
A. Hoogs, J. Mundy, and G. Cross, "Multi-modal fusion for video understanding," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2001. [URL]
A. Hoogs and J. Mundy, "Rapid data reduction and target detection in literal imagery," in Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2000. [URL]
A. Hoogs and J. Mundy, "Information fusion for EO object detection and delineation," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2000.
A. Hoogs and J. Mundy, "An integrated boundary and region approach to perceptual grouping," in Proceedings of the IEEE International Conference on Pattern Recognition, 2000. [URL]
J. Mundy and A. Hoogs, "Data representations for object-level change detection in eo/ir imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 1999.
A. Hoogs and J. Mundy, "Segmentation and geometry: an integrated representation," in Workshop on the Integration of Appearance and Geometric Methods in Object Recognition, 1999.
A. Hoogs, D. Hackett, and D. Dadd, "Image Understanding at Lockheed Martin Management and Data Systems," in Proceedings of the DARPA Image Understanding Workshop, 1998.
A. Hoogs, "Analysis of Learning Using Segmentation Models," in Conference on Computer Analysis of Images and Patterns, 1997.
A. Hoogs, D. Hackett, and T. Barrett, "Image Understanding at Lockheed Martin Valley Forge," in Proceedings of the DARPA Image Understanding Workshop, 1997.
A. Hoogs, B. Bremner, and D. Hackett, "The RADIUS Phase II Program," in Proceedings of the DARPA Image Understanding Workshop, 1997.
M. Puscar and A. Hoogs, "User Interface Representations for Image Understanding," in Proceedings of the DARPA Image Understanding Workshop, 1997.
A. Hoogs, "RADIUS: Imagery Understanding for Imagery Intelligence," RADIUS, Jul. 1997.
A. Hoogs, "Combining Geometric and Appearance Models for Change Detection," in Proceedings of the DARPA Image Understanding Workshop, 1997.
R. Cardenas and A. Hoogs, "The RADIUS Testbed Database: Temporal Queries and Optimization," in Proceedings of the SPIE Workshop on Applied Imagery and Pattern Recognition, 1996.
A. Hoogs and R. Bajcsy, "Model-Based Learning of Segmentations," in Proceedings of the IEEE International Conference on Pattern Recognition, 1996.
B. Kniffin and A. Hoogs, "Database Support for Exploitation Image Understanding," in Proceedings of the ARPA Image Understanding Workshop, 1996.
B. Bremner, A. Hoogs, and J. Mundy, "Integration of Image Understanding Exploitation Algorithms in the RADIUS Testbed," in Proceedings of the ARPA Image Understanding Workshop, 1996.
A. Hoogs, "Pose Adjustment Using a Parameter Hierarchy," in Proceedings of the ARPA Image Understanding Workshop, 1996.
A. Hoogs and R. Bajcsy, "Segmentation Modeling," in Conference on Computer Analysis of Images and Patterns, 1995.
B. Kniffin and A. Hoogs, "Combining Database Support for Image Understanding and Model-Supported Exploitation," in Proceedings of the SPIE Workshop on Applied Imagery and Pattern Recognition, 1995.
A. Hoogs, "Object Position Refinement Using Hierarchical Search," in Proceedings of the SPIE Workshop on Applied Imagery and Pattern Recognition, 1995.
A. Hoogs and R. Bajcsy, "Using Scene Context to Model Segmentations," in Workshop on Context-Based Vision, 1995.
A. Hoogs and D. Hackett, "Model-Supported Exploitation as a Framework for Image Understanding," in Proceedings of the ARPA Image Understanding Workshop, 1994.
R. Bajcsy and A. Hoogs, "Segmentation Characterization for Change Detection," in Proceedings of the ARPA Image Understanding Workshop, 1994.
A. Hoogs and B. Kniffin, "The RADIUS Testbed Database: Issues and Design," in Proceedings of the ARPA Image Understanding Workshop, 1994.
J. Mundy, R. Welty, L. Quam, T. Strat, W. Bremner, M. Horwedel, D. Hackett, and A. Hoogs, "The RADIUS Common Development Environment," in Proceedings of the DARPA Image Understanding Workshop, 1992.
J. Ponce, A. Hoogs, and D. Kriegman, "On using CAD models to compute the pose of curved 3D objects," in Workshop on Directions in Automated CAD-Based Vision, 1991. [URL]

Bibliography generated 2024-09-16-12:00:06 (7224)

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