Computer Vision Publications

  1. J. Webb, A. Bray, P. Asare, R. Clipp, Y. Mehta, S. Penupolu, and A. Patel, "Computational simulation to assess patient safety of uncompensated COVID-19 two-patient ventilator sharing using the Pulse Physiology Engine," PLoS ONE, Nov. 2020. [URL]
  2. 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]
  3. 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]
  4. 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]
  5. W. Scheirer, R. VidalMata, S. Banerjee, B. RichardWebster, M. Albright, P. Davalos, S. McCloskey, B. Miller, A. Tambo, S. Ghosh, S. Nagesh, Y. Yuan, Y. Hu, J. Wu, W. Yang, X. Zhang, J. Liu, Z. Wang, H. Chen, T. Huang, W. Chin, Y. Li, M. Lababidi, and C. Otto, "Bridging the Gap Between Computational Photography and Visual Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1-1, 2020. [URL]
  6. J. Webb, A. Bray, and R. Clipp, "Parameterization of Respiratory Physiology and Pathophysiology for Real-Time Simulation," in 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), 2020.
  7. L. Zhang, C. Long, X. Zhang, and C. Xiao, "RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal," in AAAI Conference on Artificial Intelligence (AAAI), 2020.
  8. J. Scott, B. Ravichandran, C. Funk, R. Collins, and Y. Liu, "From Image to Stability: Learning Dynamics from Human Pose," in European Conference on Computer Vision 2020, 2020.
  9. B. Vasu and C. Long, "Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations," in IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. [URL]
  10. R. Clipp, A. Bray, and J. Webb, "An Integrated Model for Hemorrhagic Shock and Fluid Resuscitation," in Military Health System Research Symposium (MHSRS), 2020.
  11. 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.
  12. 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.
  13. A. Bray, J. Webb, A. Enquobahrie, J. Vicory, J. Heneghan, R. Hubal, S. TerMaath, P. Asare, and R. Clipp, "Pulse Physiology Engine: an Open-Source Software Platform for Computational Modeling of Human Medical Simulation," SN Comprehensive Clinical Medicine, Mar. 2019. [URL]
  14. B. Vasu and A. Savakis, "Visualizing the Resilience of Deep Convolutional Network Interpretations.," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.
  15. 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.
  16. 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]
  17. D. Chittajallu, B. Dong, P. Tunison, R. Collins, K. Wells, J. Fleshman, G. Sankaranarayanan, S. Schwaitzberg, L. Cavuoto, and A. Enquobahrie, "XAI-CBIR: Explainable AI System for Content based Retrieval of Video Frames from Minimally Invasive Surgery Videos," in 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019. [URL]
  18. J. Wei, C. Long, H. Zou, and C. Xiao, "Shadow Inpainting and Removal Using Generative Adversarial Networks with Slice Convolutions," Computer Graphics Forum (CGF), vol. 38, no. 7, pp. 381–392, 2019.
  19. M. Tian, H. Guo, H. Chen, Q. Wang, C. Long, and Y. Ma, "Automated Pig Counting Using Deep Learning," Computers and Electroics in Agriculutre, vol. 16, pp. 1–10, 2019.
  20. M. Hosseini and M. Kirchner, "Unsupervised Image Manipulation Localization With Non-Binary Label Attribution," IEEE Signal Processing Letters, vol. 26, no. 7, pp. 976–980, 2019. [URL]
  21. 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]
  22. C. Liu and M. Kirchner, "CNN-based Rescaling Factor Estimation," in ACM Workshop on Information Hiding and Multimedia Security, 2019. [URL]
  23. E. Quiring, M. Kirchner, and K. Rieck, "On the Security and Applicability of Fragile Camera Fingerprints," in European Symposium on Research in Computer Security, 2019. [URL]
  24. M. Kirchner, C. Pasquini, and I. Shumailov, "Information Security Meets Adversarial Examples," in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. [URL]
  25. M. Kirchner and C. Johnson, "SPN-CNN: Boosting Sensor-Based Source Camera Attribution With Deep Learning," in IEEE International Workshop on Information Forensics and Security (WIFS), 2019. Winner, Best Paper Award. [URL]
  26. 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.
  27. D. Chittajallu, A. Basharat, P. Tunison, S. Horvath, K. Wells, S. Leeds, J. Fleshman, G. Sankaranarayanan, and A. Enquobahrie, "Content-based retrieval of video segments from minimally invasive surgery videos using deep convolutional video descriptors and iterative query refinement," in Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 2019.
  28. 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.
  29. B. Ding, C. Long, L. Zhang, and C. Xiao, "ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal," in Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2019.
  30. 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.
  31. M. Leotta, J. Shan, X. Zhang, C. Long, B. Xu, M. Purri, M. Zins, B. Jacquet, K. Dana, S. Seida, M. Berlin, Z. Li, J. Xue, and D. Lipsa, "Danesfield: Integrating Deep Learning and Classical Methods for Multiview Semantic 3D Modeling," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2019.
  32. M. Leotta, C. Long, B. Jacquet, M. Zins, D. Lipsa, J. Shan, B. Xu, Z. Li, X. Zhang, S. Chang, M. Purri, J. Xue, and K. Dana, "Urban Semantic 3D Reconstruction From Multiview Satellite Imagery," in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops: EarthVision, 2019. Winner, Best Paper Award. [URL]
  33. T. Hu, C. Long, L. Zhang, and C. Xiao, "VITAL: A Visual Interpretation on Text with Adversarial Learning for Image Labeling," in arXiv preprint arXiv:1907.11811, 2019.
  34. F. Rahman, B. Vasu, and A. Savakis, "Resilience and Self-Healing of Deep Convolutional Object Detectors," in 2018 25th IEEE International Conference on Image Processing (ICIP), 2018. [URL]
  35. M. Phillips, R. Blue, M. Turek, A. Hoogs, and T. Rovito, "Deep Learning for Classification of Satellite Imagery," in Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2018.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. C. Funk, S. Nagendra, J. Scott, B. Ravichandran, J. Challis, R. Collins, and Y. Liu, "Learning Dynamics from Kinematics: Estimating 2D Foot Pressure Maps from Video Frames," arXiv preprint arXiv:1811.12607, Nov. 2018. [URL]
  41. F. Rahman, B. Vasu, J. Cor, J. Kerekes, and A. Savakis, "Siamese Network with Multi-Level Features for Patch-Based Change Detection in Satellite Imagery," in 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2018. [URL]
  42. G. Hua, C. Long, M. Yang, and Y. Gao, "Collaborative Active Visual Recognition from Crowds: A Distributed Ensemble Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 3, pp. 582-594, Mar. 2018. [URL]
  43. B. Vasu, F. Rahman, and A. Savakis, "Aerial-CAM: Salient Structures and Textures in Network Class Activation Maps of Aerial Imagery," in 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2018. [URL]
  44. H. Greer, S. Gerber, M. Niethammer, R. Kwitt, M. McCormick, D. Chittajallu, N. Siekierski, M. Oetgen, K. Cleary, and S. Aylward, "Scoliosis screening and monitoring using self contained ultrasound and neural networks," in Proceedings of the IEEE International Symposium on Biomedical Imaging, 2018. [URL]
  45. D. Chittajallu, N. Siekierski, S. Lee, S. Gerber, J. Beezley, D. Manthey, D. Gutman, and L. Cooper, "Vectorized persistent homology representations for characterizing glandular architecture in histology images," in Proceedings of the IEEE International Symposium on Biomedical Imaging, 2018. [URL]
  46. M. Goljan, J. Fridrich, and M. Kirchner, "Image Manipulation Detection Using Sensor Linear Pattern," in IS&T Electronic Imaging: Media Watermarking, Security, and Forensics, 2018. [URL]
  47. Y. Ma, H. Guo, H. Chen, M. Tian, X. Huo, C. Long, S. Tang, X. Song, and Q. Wang, "A Method to Build Multi-Scene Datasets for CNN for Camera Pose Regression," in Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2018.
  48. M. Leotta, E. Smith, and D. Russell, "TeleSculptor: Dense 3D Models from Uncalibrated FMV," in Proceedings of the MSS National Symposium on Passive Sensors, 2018.
  49. Z. Sun and A. Hoogs, "Compact image representation by binary component analysis," in Proceedings of the IEEE International Conference on Image Processing, 2017. [URL]
  50. 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]
  51. S. Han, A. Fafard, J. Kerekes, M. Gartley, E. Ientilucci, A. Savakis, C. Law, J. Parhan, M. Turek, K. Fieldhouse, and T. Rovito, "Efficient generation of image chips for training deep learning algorithms," in SPIE Defense + Security, 2017. [URL]
  52. Y. Nie, X. Cao, C. Long, P. Li, and G. Li, "L2GSCI: Local to Global Seam Cutting and Integrating for Accurate Face Contour Extraction," arxiv, Mar. 2017. [URL]
  53. 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]
  54. L. Potter, S. Arikatla, A. Bray, J. Webb, and A. Enquobahrie, "Physiology informed virtual surgical planning: a case study with a virtual airway surgical planner and BioGears," in SPIE Medical Imaging, 2017. [URL]
  55. C. Long and G. Hua, "Correlational Gaussian Processes for Cross-Domain Visual Recognition," in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [URL]
  56. 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]
  57. 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]
  58. S. Gerber, M. Jallais, H. Greer, M. McCormick, S. Montgomery, B. Freeman, D. Kane, D. Chittajallu, N. Siekierski, and S. Aylward, "Automatic Estimation of the Optic Nerve Sheath Diameter from Ultrasound Images," in Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. Springer International Publishing, 2017, pp. 113-120. [URL]
  59. M. Jallais, H. Greer, S. Gerber, M. McCormick, D. Chittajallu, N. Siekierski, and S. Aylward, "Ultrasound Augmentation: Rapid 3-D Scanning for Tracking and On-Body Display," in Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. Springer International Publishing, 2017, pp. 138-145. [URL]
  60. C. Xing, C. Long, H. Guo, Y. Nie, Y. Zhang, D. Zhu, Q. Ma, and M. Tian, "How Does A Camera Look At One 3D CAD Object?," in 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), 2017.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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]
  67. 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]
  68. M. Leotta, E. Smith, M. Dawkins, and P. Tunison, "Open source structure-from-motion for aerial video," in Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2016. [URL]
  69. 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.
  70. 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.
  71. K. Palaniappan, M. Poostchi, H. Aliakbarpour, R. Viguier, J. Fraser, F. Bunyak, A. Basharat, S. Suddarth, E. Blasch, R. Rao, and G. Seetharaman, "Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering," in 2016 23rd International Conference on Pattern Recognition (ICPR), 2016. [URL]
  72. 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]
  73. 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.
  74. 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.
  75. 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]
  76. M. Leotta, P. Tunison, E. Smith, and M. Dawkins, "MAP-Tk: Motion imagery Aerial Photogrammetry Toolkit," in Proceedings of the MSS National Symposium on Passive Sensors, 2015.
  77. R. Jain, J. Becker, V. Mahadevan, P. Shriwise, R. O’Bara, and I. Grindeanu, "OCC-based meshing for RGG applications using MeshKit," in SIAM Conference on Computational Science and Engineering, 2015.
  78. 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]
  79. 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.
  80. 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]
  81. 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]
  82. E. Swears, A. Hoogs, and K. Boyer, "Pyramid Coding for Functional Scene Element Recognition in Video Scenes," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2014.
  83. 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]
  84. 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.
  85. 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]
  86. 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]
  87. 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]
  88. 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]
  89. J. Snape, S. Guy, J. van den Berg, and D. Manocha, "Smooth Coordination and Navigation for Multiple Differential-Drive Robots," in Internation Symposium on Experimental Robotics, 2014. [URL]
  90. 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]
  91. 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.
  92. Y. Zhang, Y. Zhang, E. Swears, N. Larios, Z. Wang, and Q. Ji, "Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 10, pp. 2468-2483, Oct. 2013. [URL]
  93. 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]
  94. E. Swears, A. Hoogs, and R. Blue, "Recognizing Activity Based Scene Elements in Video," in Automatic Target Recognition Working Group, 2013.
  95. 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]
  96. 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]
  97. 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]
  98. J. Snape and D. Manocha, "Goal velocity obstacles for spatial navigation of multiple autonomous robots or virtual agents," in Autonomous Robots and Multirobot Systems, 2013.
  99. J. Snape, S. Guy, M. Lin, and D. Manocha, "Local and global planning for collision-free navigation in video games," in Planning in Games Workshop, 2013.
  100. J. Snape and D. Manocha, "Goal velocity obstacles for spatial navigation of multiple virtual agents," in Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems, 2013.
  101. 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]
  102. 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]
  103. 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]
  104. E. Smith, R. Radke, and C. Stewart, "Physical Scale Keypoints: Matching and Registration for Combined Intensity/Range Images," International Journal of Computer Vision, vol. 97, no. 1, pp. 2-17, Mar. 2012. [URL]
  105. 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]
  106. R. Blue, A. Chaudhary, B. Payne, and M. Woehlke, "VisGUI: A visualization framework for video analysis," Kitware Source, no. 23, 2012.
  107. E. Smith, "Registration of combined range-intensity scans," Ph.D. dissertation, Rensselaer Polytechnic Institute, 2012.
  108. 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]
  109. 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.
  110. 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]
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Bibliography generated 2021-04-15-04:03:40 (4513)