1. E. Wengrowski, Z. Sun, and A. Hoogs, "Reflection correspondence for exposing photograph manipulation," in IEEE International Conference on Image Processing (ICIP), Beijing, 2017.
2. 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 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, HI, USA, 2017.
3. M. Dawkins et al., "An open-source platform for underwater image and video analytics," in IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, CA, USA, 2017.
4. J. Moeller, E. Smith, A. Basharat, M. Turek, A. Hoogs, and E. Blasch, "Automatic pattern of life learning in satellite images through graph kernels (grapl)," in National Symposium on Sensor and Data Fusion (NSSDF), 2017.
5. Z. Sun, J. Baumes, P. Tunison, M. Turek, and A. Hoogs, "Tattoo detection and localization using region-based deep learning," in International Conference on Pattern Recognition (ICPR), Cancun, 2016.
6. P. Tunison, M. Turek, and A. Hoogs, "Functional scene element modeling for ISR data," in National Symposium on Sensor and Data Fusion (NSSDF), 2016.
7. M. Dawkins, A. Basharat, J. Becker, M. Turek, and A. Hoogs, "Deep architecture for small mover detection in overhead infrared imagery," in National Symposium on Sensor and Data Fusion (NSSDF), 2016.
8. M. Turek et al., "Real-time, full-frame wide area motion imagery analytics," in Military Sensing Symposia - Passive Sensors, 2015.
9. A. Hoogs et al., "An end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement," in IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), Karlsruhe, Germany, 2015.
10. K. Fieldhouse et al., "KWIVER: An open source cross-platform video exploitation framework," in Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, 2014.
11. E. Swears, A. Basharat, A. Hoogs, and E. Blasch, "Probabilistic sub-graph matching (pgram) for video and text fusion," in National Symposium on Sensor and Data Fusion (NSSDF), 2014.
12. M. Dawkins, A. Perera, and A. Hoogs, "Real-time heads-up display detection in video," in IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), Seoul, South Korea, 2014.
13. 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 International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014.
14. Y. Xu, A. Basharat, J. Becker, and A. Hoogs, "Complex algorithm optimization through probabilistic search of its configuration tree," in IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), Seoul, South Korea, 2014.
15. E. Swears, A. Hoogs, and K. Boyer, "Pyramid Coding for Functional Scene Element Recognition in Video Scenes," presented at the CVPR Workshop on Scene Understanding, 2014.
16. M. Dawkins, Z. Sun, A. Basharat, A. Perera, and A. Hoogs, "Tracking nautical objects in real-time via layered saliency detection," presented at the SPIE Defense + Security, Baltimore, Maryland, USA, 2014.
17. E. Swears, A. Hoogs, Q. Ji, and K. Boyer, "Complex Activity Recognition Using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, OH, USA, 2014.
18. A. Basharat et al., "Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery," in IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, CO, USA, 2014.
19. Z. Sun et al., "Vehicle change detection from aerial imagery using detection response maps," presented at the SPIE Defense + Security, Baltimore, Maryland, USA, 2014.
20. M. Dawkins and A. Hoogs, "Automatic image-plane aligned obstruction detection in EO and IR video," in Military Sensing Symposia - Passive Sensors, 2014.
21. Y. Xu, D. Song, and A. Hoogs, "An Efficient Online Hierarchical Supervoxel Segmentation Algorithm for Time-critical Applications," in British Machine Vision Conference (BMVC), Nottingham, 2014.
22. E. Swears, A. Hoogs, and K. Boyer, "Pyramid Coding for Functional Scene Element Recognition in Video Scenes," in International Conference on Computer Vision (ICCV), Sydney, Australia, 2013.
23. Y. Xu et al., "System and algorithms on detection of objects embedded in perspective geometry using monocular cameras," in IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), Krakow, Poland, 2013.
24. Y. Xu, S. Oh, and A. Hoogs, "A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, USA, 2013.
25. E. Swears, A. Hoogs, and R. Blue, "Recognizing Activity Based Scene Elements in Video," in Automatic Target Recognition Working Group, 2013.
26. N. Cuntoor, R. Collins, and A. Hoogs, "Human-robot teamwork using activity recognition and human instruction," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vilamoura-Algarve, Portugal, 2012.
27. K. Reddy, N. Cuntoor, A. Perera, and A. Hoogs, "Human Action Recognition in Large-Scale Datasets Using Histogram of Spatiotemporal Gradients," in IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), Beijing, China, 2012.
28. E. Swears and A. Hoogs, "Learning and recognizing complex multi-agent activities with applications to american football plays," in IEEE Workshop on the Applications of Computer Vision (WACV), Breckenridge, CO, USA, 2012.
29. 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 Berlin Heidelberg, 2012, pp. 241-269.
30. A. Perera et al., "TRECVID 2012 GENIE: multimedia event detection and recounting," in TRECVID Workshop, 2012.
31. S. Oh et al., "A large-scale benchmark dataset for event recognition in surveillance video," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, USA, 2011.
32. E. Swears and A. Hoogs, "Complex Activity Recognition using Granger Constrained Dynamic Bayesian Network," in Learning Workshop, Fort Lauderdale Florida, 2011.
33. D. Hutchison et al., "Unsupervised Learning of Functional Categories in Video Scenes," in European Conference on Computer Vision (ECCV), Berlin, Heidelberg, 2010.
34. N. Cuntoor, A. Basharat, A. Perera, and A. Hoogs, "Track Initialization in Low Frame Rate and Low Resolution Videos," in International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010.
35. S. Oh and A. Hoogs, "Unsupervised Learning of Activities in Video Using Scene Context," in International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010.
36. 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.
37. D. Hutchison et al., "Content-Based Retrieval of Functional Objects in Video Using Scene Context," in European Conference on Computer Vision (ECCV), Berlin, Heidelberg, 2010.
38. E. Swears and A. Hoogs, "Functional scene element recognition for video scene analysis," in IEEE Workshop on Motion and Video Computing (WMVC), Snowbird, UT, USA, 2009.
39. A. Perera, R. Collins, and A. Hoogs, "Evaluation of compression schemes for wide area video," in Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, 2008.
40. A. Hoogs and A. Perera, "Video Activity Recognition in the Real World," in National Conference on Artificial Intelligence, Chicago, Illinois, 2008.
41. K. Barnard et al., "Evaluation of localized semantics: data, methodology, and experiments," International Journal of Computer Vision, vol. 77, no. 1, pp. 199-217, May. 2008.
42. E. Swears, A. Hoogs, and A. Perera, "Learning Motion Patterns in Surveillance Video using HMM Clustering," in IEEE Workshop on Motion and Video Computing (WMVC), Copper Mountain, CO, USA, 2008.
43. A. Hoogs, S. Bush, G. Brooksby, A. Perera, M. Dausch, and N. Krahnstoever, "Detecting Semantic Group Activities Using Relational Clustering," in IEEE Workshop on Motion and Video Computing (WMVC), Copper Mountain, CO, USA, 2008.
44. F. Wheeler and A. Hoogs, "Moving Vehicle Registration and Super-Resolution," in Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, 2007.
45. A. Perera, A. Hoogs, C. Srinivas, G. Brooksby, and W. Hu, "Evaluation of Algorithms for Tracking Multiple Objects in Video," in Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, 2006.
46. M. Chan, A. Hoogs, Z. Sun, J. Schmiederer, R. Bhotika, and G. Doretto, "Event recognition with fragmented object tracks," in International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2006.
47. A. Perera, G. Brooksby, A. Hoogs, and G. Doretto, "Moving Object Segmentation using Scene Understanding," in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New York, NY, USA, 2006.
48. J. Kaufhold, R. Collins, A. Hoogs, and P. Rondot, "Recognition and Segmentation of Scene Content using Region-Based Classification," in International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2006.
49. M. Chan, A. Hoogs, R. Bhotika, A. Perera, J. Schmiederer, and G. Doretto, "Joint Recognition of Complex Events and Track Matching," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, USA, 2006.
50. Z. Sun and A. Hoogs, "Image Comparison by Compound Disjoint Information," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, USA, 2006.
51. A. Hoogs and R. Collins, "Object Boundary Detection in Images using a Semantic Ontology," in IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New York, NY, USA, 2006.
52. A. Perera, C. Srinivas, A. Hoogs, G. Brooksby, and Wensheng Hu, "Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New York, NY, USA, 2006.
53. A. Hoogs, M. Chan, R. Bhotika, and J. Schmiederer, "Recognizing complex behaviors in aerial video," in Internation Conference on Interlligence Analysis, 2005.
54. R. Kaucic, A. Perera, G. Brooksby, J. Kaufhold, and A. Hoogs, "A Unified Framework for Tracking through Occlusions and across Sensor Gaps," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, USA, 2005.
55. M. Chan, A. Hoogs, J. Schmiederer, and M. Petersen, "Detecting rare events in video using semantic primitives with HMM," in International Conference on Pattern Recognition (ICPR), Cambridge, UK, 2004.
56. J. Kaufhold and A. Hoogs, "Learning to segment images using region-based perceptual features," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, USA, 2004.
57. A. Perera and A. Hoogs, "Bayesian object-level change detection in grayscale imagery," in International Conference on Pattern Recognition (ICPR), Cambridge, UK, 2004.
58. 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.
59. 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.
60. 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 (ICME), Baltimore, MD, USA, 2003.
61. A. Hoogs, J. Rittscher, G. Stein, and J. Schmiederer, "Video content annotation using visual analysis and a large semantic knowledgebase," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Madison, WI, USA, 2003.
62. A. Hoogs, R. Collins, and R. Kaucic, "Classification of 3D macro texture using perceptual observables," in International Conference on Pattern Recognition (ICPR), Quebec City, Que., Canada, 2002.
63. A. Hoogs, R. Kaucic, and R. Collins, "Using video for recovering texture," in Applied Imagery Pattern Recognition Workshop (AIPR Workshop), Washington, DC, USA, 2001.
64. A. Hoogs, J. Mundy, and G. Cross, "Multi-modal fusion for video understanding," in Applied Imagery Pattern Recognition Workshop (AIPR), Washington, DC, USA, 2001.
65. A. Hoogs and J. Mundy, "Rapid data reduction and target detection in literal imagery," in Applied Imagery Pattern Recognition Workshop (AIPR Workshop), Washington, DC, USA, 2000.
66. A. Hoogs and J. Mundy, "Information fusion for eo object detection and delineation," in National Symposium on Sensor and Data Fusion (NSSDF), 2000.
67. A. Hoogs and J. Mundy, "An integrated boundary and region approach to perceptual grouping," in International Conference on Pattern Recognition (ICPR), Barcelona, Spain, 2000.
68. J. Mundy and A. Hoogs, "Data representations for object-level change detection in eo/ir imagery," in National Symposium on Sensor and Data Fusion (NSSDF), 1999.
69. A. Hoogs and J. Mundy, "Segmentation and geometry: an integrated representation," in Workshop on the Integration of Appearance and Geometric Methods in Object Recognition, Ft. Collins, CO, USA, 1999.
70. A. Hoogs, D. Hackett, and D. Dadd, "Image Understanding at Lockheed Martin Management and Data Systems," in DARPA Image Understanding Workshop, 1998.
71. A. Hoogs, "Analysis of Learning Using Segmentation Models," in Conference on Computer Analysis of Images and Patterns, 1997.
72. A. Hoogs, "RADIUS: Imagery Understanding for Imagery Intelligence," RADIUS, Jul. 1997.
73. M. Puscar and A. Hoogs, "User Interface Representations for Image Understanding," in DARPA Image Understanding Workshop, 1997.
74. A. Hoogs, B. Bremner, and D. Hackett, "The RADIUS Phase II Program," in DARPA Image Understanding Workshop, 1997.
75. A. Hoogs, D. Hackett, and T. Barrett, "Image Understanding at Lockheed Martin Valley Forge," in DARPA Image Understanding Workshop, 1997.
76. A. Hoogs, "Combining Geometric and Appearance Models for Change Detection," in DARPA Image Understanding Workshop, 1997.
77. R. Cardenas and A. Hoogs, "The RADIUS Testbed Database: Temporal Queries and Optimization," in SPIE Workshop on Applied Imagery and Pattern Recognition, 1996.
78. B. Kniffin and A. Hoogs, "Database Support for Exploitation Image Understanding," in ARPA Image Understanding Workshop, 1996.
79. A. Hoogs, "Pose Adjustment Using a Parameter Hierarchy," in ARPA Image Understanding Workshop, 1996.
80. B. Bremner, A. Hoogs, and J. Mundy, "Integration of Image Understanding Exploitation Algorithms in the RADIUS Testbed," in ARPA Image Understanding Workshop, 1996.
81. A. Hoogs and R. Bajcsy, "Model-Based Learning of Segmentations," in International Conference on Pattern Recognition, 1996.
82. A. Hoogs, "Object Position Refinement Using Hierarchical Search," in SPIE Workshop on Applied Imagery and Pattern Recognition, 1995.
83. B. Kniffin and A. Hoogs, "Combining Database Support for Image Understanding and Model-Supported Exploitation," in SPIE Workshop on Applied Imagery and Pattern Recognition, 1995.
84. A. Hoogs and R. Bajcsy, "Segmentation Modeling," in Conference on Computer Analysis of Images and Patterns, 1995.
85. A. Hoogs and R. Bajcsy, "Using Scene Context to Model Segmentations," in Workshop on Context-Based Vision, 1995.
86. A. Hoogs and B. Kniffin, "The RADIUS Testbed Database: Issues and Design," in ARPA Image Understanding Workshop, 1994.
87. A. Hoogs and D. Hackett, "Model-Supported Exploitation as a Framework for Image Understanding," in ARPA Image Understanding Workshop, 1994.
88. R. Bajcsy and A. Hoogs, "Segmentation Characterization for Change Detection," in ARPA Image Understanding Workshop, 1994.
89. J. Mundy et al., "The RADIUS Common Development Environment," in DARPA Image Understanding Workshop, 1992.
90. J. Ponce, A. Hoogs, and D. Kriegman, "On using CAD models to compute the pose of curved 3D objects," presented at the Workshop on Directions in Automated CAD-Based Vision, Maui, HI, USA, 1991.