Multimodal Vision Research Laboratory

MVRL

publications

other listings: google dblp

Below is a complete list of my publications, but if you are only interested in publications in a sub-area, you can use one of these links: image localization, medical imaging, remote sensing, transporation, surveillance, astronomical imagery, motion, timelapse imaging, social media analysis, outdoor webcam imagery, camera calibration, and LiDAR processing.

  1. PDF Liang G, Greenwell C, Zhang Y, Xing X, Wang X, Kavuluru R, Jacobs N. 2021. Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging. IEEE Journal of Biomedical and Health Informatics. DOI: 10.1109/JBHI.2021.3110805.
    bibtex | doi
  2. Liang G, Xing X, Liu L, Zhang Y, Ying Q, Lin A-L, Jacobs N. 2021. 2D Convolutional Neural Networks for Alzheimer’s Disease MRI Classification. In: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
    bibtex
  3. Ying Q, Xing X, Liu L, Lin A-L, Jacobs N, Liang G. 2021. Multi-Modal Data Analysis for Alzheimer’s Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. In: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
    bibtex
  4. PDF Jones D, Jacobs N. 2021. Intensity Harmonization for Airborne LiDAR. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  5. PDF Brodie B, Khanal S, Rafique MU, Greenwell C, Jacobs N. 2021. Hierarchical Probabilistic Embeddings for Multi-View Image Classification. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  6. PDF Rafique MU, Zhang Y, Brodie B, Jacobs N. 2021. Unifying Guided and Unguided Outdoor Image Synthesis. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. 776–785.
    bibtex | website
  7. PDF Tuia D, Roscher R, Wegner JD, Jacobs N, Zhu XX, Camps-Valls G. 2021. Towards a Collective Agenda on AI for Earth Science Data Analysis . arXiv preprint 2104.05107 [cs.CV].
    bibtex
  8. PDF Padilha R, Salem T, Workman S, Andaló FA, Rocha A, Jacobs N. 2021. Content-Based Detection of Temporal Metadata Manipulation. arXiv preprint 2103.04736 [cs.CV].
    bibtex
  9. PDF Blanton H, Workman S, Jacobs N. 2020. A Structure-Aware Method for Direct Pose Estimation. arXiv preprint 2012.12360 [cs.CV].
    bibtex
  10. PDF Liang G, Greenwell C, Zhang Y, Wang X, Kavuluru R, Jacobs N. 2020. Weakly-Supervised Feature Learning via Text and Image Matching. arXiv preprint 2010.03060 [cs.CV].
    bibtex
  11. PDF Zhang Y, Liang G, Su Y, Jacobs N. 2021. Multi-Branch Attention Networks for Classifying Galaxy Clusters. In: International Conference on Pattern Recognition (ICPR 2020).
    bibtex | website | tweet
  12. Chen M, Hadzic A, Song W, Jacobs N. 2021. Applications of Deep Machine Learning to Highway Safety and Usage Assessment. In: Transportation Research Board Workshop (Sponsored by AED50).
    bibtex
  13. PDF Liang G, Su Y, Lin S-C, Zhang Y, Zhang Y, Jacobs N. 2020. Optical Wavelength Guided Self-Supervised FeatureLearning For Galaxy Cluster Richness Estimate. In: Workshop on Machine Learning and the Physical Sciences at the 34th Conference on Neural Information Processing Systems.
    bibtex
  14. PDF Su Y, Zhang Y, Liang G, ZuHone J, Barnes D, Jacobs N, Ntampaka M, Forman W, Nulsen P, Kraft R, Jones C. 2020. A deep learning view of the census of galaxy clusters in IllustrisTNG. Monthly Notices of the Royal Astronomical Society (MNRAS). DOI: 10.1093/mnras/staa2690.
    bibtex | doi
  15. PDF Xing X, Liang G, Blanton H, Rafique MU, Wang C, Lin A-L, Jacobs N. 2020. Dynamic Image for 3D MRI Image Alzheimer’s Disease Classification. In: ECCV Workshop on BioImage Computing (BIC).
    bibtex
  16. PDF Liang G, Zhang Y, Wang X, Jacobs N. 2020. Improved Trainable Calibration Method for Neural Networks. In: British Machine Vision Conference (BMVC).
    bibtex | website | tweet
  17. PDF Rafique MU, Blanton H, Snavely N, Jacobs N. 2020. Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis. In: British Machine Vision Conference (BMVC).
    bibtex | website | code | tweet
  18. PDF Liang G, Zhang Y, Jacobs N. 2020. Neural Network Calibration for Medical Imaging Classification Using DCA Regularization. In: ICML 2020 workshop on Uncertainty and Robustness in Deep Learning (UDL).
    bibtex
  19. PDF Hammond TC, Xing X, Wang C, Ma D, Nho K, Crane PK, Elahi F, Ziegler DA, Liang G, Cheng Q, Yanckello LM, Jacobs N, Lin A-L. 2020. Beta-amyloid and tau drive early Alzheimer’s disease decline while glucose hypometabolism drives late decline. Communications Biology 3:352. DOI: 10.1038/s42003-020-1079-x.
    bibtex | doi | tweet
  20. Zhu J, Nolte A, Jacobs N, Ye M. 2020. Machine Learning in Identifying Karst Sinkholes from LiDAR-Derived Topographic Depressions in the Bluegrass Region of Kentucky. Journal of Hydrology. DOI: 10.1016/j.jhydrol.2020.125049.
    bibtex | doi
  21. PDF Blanton H, Grate S, Jacobs N. 2020. Surface Modeling for Airborne LiDAR. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex | tweet
  22. PDF Hadzic A, Christie G, Freeman J, Dismer A, Bullard S, Greiner A, Jacobs N, Mukherjee R. 2020. Estimating Displaced Populations from Overhead. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex | tweet
  23. PDF Workman S, Rafique MU, Blanton H, Greenwell C, Jacobs N. 2020. Single Image Cloud Detection via Multi-Image Fusion. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex | tweet
  24. PDF Liang G, Wang X, Zhang Y, Jacobs N. 2020. Weakly-Supervised Self-Training for Breast Cancer Localization. In: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC44109.2020.9176617.
    bibtex | doi
  25. PDF Blanton H, Greenwell C, Workman S, Jacobs N. 2020. Extending Absolute Pose Regression to Multiple Scenes. In: Joint Workshop on Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM (CVPR Workshop).
    bibtex | tweet
  26. PDF Hadzic A, Blanton H, Song W, Chen M, Workman S, Jacobs N. 2020. RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. In: EARTHVISION: Large Scale Computer Vision for Remote Sensing Imagery. DOI: 10.1109/CVPRW50498.2020.00112.
    bibtex | website | doi | tweet
  27. PDF Salem T, Workman S, Jacobs N. 2020. Learning a Dynamic Map of Visual Appearance. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR42600.2020.01245.
    bibtex | website | doi | tweet
  28. PDF Workman S, Jacobs N. 2020. Dynamic Traffic Modeling from Overhead Imagery. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR42600.2020.01233.
    bibtex | website | doi | tweet
  29. PDF Wang X, Liang G, Zhang Y, Blanton H, Bessinger Z, Jacobs N. 2020. Inconsistent Performance of Deep Learning Models on Mammogram Classification. Journal of the American College of Radiology. DOI: 10.1016/j.jacr.2020.01.006.
    bibtex | doi
  30. Maretto RV, Fonseca LMG, Jacobs NB, Körting TS, Bendini HN, Parente LL. 2021. Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geoscience and Remote Sensing Letters 18:771–775. DOI: 10.1109/LGRS.2020.2986407.
    bibtex | doi
  31. PDF Greenwell C, Workman S, Jacobs N. 2019. Implicit Land Use Mapping Using Social Media Imagery. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR47015.2019.9174570.
    bibtex | doi
  32. PDF Zhang Y, Liang G, Salem T, Jacobs N. 2019. Defense-PointNet: Protecting PointNet Against Adversarial Attacks. In: The Next Frontier of Big Data From LiDAR Workshop (co-located with IEEE Big Data).
    bibtex
  33. Hammond T, Xing X, Jacobs N, Lin A-L. 2019. Phase-dependent importance of amyloid-beta, phosphorylated-tau, and hypometabolism in determining mild cognitive impairment and Alzheimer’s disease: A machine learning study. In: Alzheimer’s Disease Therapeutics: Alternatives to Amyloid.
    bibtex
  34. PDF Hamraz H, Jacobs NB, Contreras MA, Clark CH. 2019. Deep Learning for Conifer/Deciduous Classification of Airborne LiDAR 3D Point Clouds Representing Individual Trees. ISPRS Journal of Photogrammetry and Remote Sensing 158:219–230. DOI: 10.1016/j.isprsjprs.2019.10.011.
    bibtex | doi
  35. PDF Zhang Y, Wang X, Blanton H, Liang G, Xing X, Jacobs N. 2019. 2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM). DOI: 10.1109/BIBM47256.2019.8983097.
    bibtex | doi
  36. PDF Liang G, Wang X, Zhang Y, Xing X, Blanton H, Salem T, Jacobs N. 2019. Joint 2D-3D Breast Cancer Classification. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM). DOI: 10.1109/BIBM47256.2019.8983048.
    bibtex | doi
  37. Zhang Y, Liang G, Jacobs N, Wang X. 2019. Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization. In: Conference on Machine Intelligence in Medical Imaging (CMIMI).
    bibtex
  38. Liang G, Jacobs N, Wang X. 2019. Training Deep Learning Models as Radiologists: Breast Cancer Classification Using Combined whole 2D Mammography and full volume Digital Breast Tomosynthesis. In: Radiological Society of North America (RSNA).
    bibtex
  39. Zhu J, Nolte AM, Jacobs N, Ye M. 2019. Incorporating Machine Learning with LiDAR for Delineating Sinkholes. In: Kentucky Water Resources Annual Symposium.
    bibtex
  40. PDF Salem T, Greenwell C, Blanton H, Jacobs N. 2019. Learning to Map Nearly Anything. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/IGARSS.2019.8900646.
    bibtex | doi
  41. PDF Song W, Salem T, Blanton H, Jacobs N. 2019. Remote Estimation of Free-Flow Speeds. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/IGARSS.2019.8900286.
    bibtex | doi | tweet
  42. PDF Rafique MU, Jacobs N. 2019. Weakly Supervised Building Segmentation from Aerial Images. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/IGARSS.2019.8898812.
    bibtex | doi
  43. PDF Rafique MU, Blanton H, Jacobs N. 2019. Weakly Supervised Fusion of Multiple Overhead Images. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION). DOI: 10.1109/CVPRW.2019.00189.
    bibtex | doi | tweet
  44. PDF Liang G, Fouladvand S, Zhang J, Brooks MA, Jacobs N, Chen J. 2019. GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement. In: IEEE International Conference on Healthcare Informatics (ICHI). DOI: 10.1109/ICHI.2019.8904763.
    bibtex | doi
  45. Mihail RP, Liang G, Jacobs N. 2019. Automatic Hand Skeletal Shape Estimation from Radiographs. IEEE Transactions on NanoBioscience. DOI: 10.1109/TNB.2019.2911026.
    bibtex | doi
  46. Sajid H, Jacobs N, Cheung S-ching S. 2019. Motion and Appearance based Background Subtraction for Freely Moving Cameras. Signal Processing: Image Communication. DOI: 10.1016/j.image.2019.03.003.
    bibtex | doi
  47. Liang G, Jacobs N, Liu J, Luo K, Owen W, Wang X. 2019. Translational relevance of performance of deep learning models on mammograms. In: SBI/ACR Breast Imaging Symposium.
    bibtex
  48. PDF Bessinger Z, Jacobs N. 2019. A Generative Model of Worldwide Facial Appearance. In: IEEE Winter Conference on Applications of Computer Vision (WACV). DOI: 10.1109/WACV.2019.00172.
    bibtex | website | doi
  49. Liang G, Wang X, Jacobs N. 2018. Evaluating the Publicly Available Mammography Datasets for Deep Learning Model Training. In: SBI/ACR Breast Imaging Symposium.
    bibtex
  50. Mihail RP, Jacobs N. 2018. Automatic Hand Skeletal Shape Estimation from Radiographs. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM). DOI: 10.1109/BIBM.2018.8621196.
    bibtex | doi
  51. PDF Jacobs N, Kraft A, Rafique MU, Sharma RD. 2018. A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL). DOI: 10.1145/3274895.3274934.
    bibtex | code | doi | tweet
  52. PDF Schulter S, Zhai M, Jacobs N, Chandraker M. 2018. Learning to Look around Objects for Top-View Representations of Outdoor Scenes. In: European Conference on Computer Vision (ECCV). DOI: 10.1007/978-3-030-01267-0_48.
    bibtex | doi
  53. PDF Zhai M, Salem T, Greenwell C, Workman S, Pless R, Jacobs N. 2018. Learning Geo-Temporal Image Features. In: British Machine Vision Conference (BMVC).
    bibtex
  54. Zhang X, Zhang Y, Han E, Jacobs N, Han Q, Wang X, Liu J. 2018. Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks. IEEE Transactions on NanoBioscience. DOI: 10.1109/TNB.2018.2845103.
    bibtex | doi
  55. PDF Greenwell C, Workman S, Jacobs N. 2018. What Goes Where: Predicting Object Distributions from Above. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/IGARSS.2018.8519251.
    bibtex | website | doi
  56. PDF Salem T, Zhai M, Workman S, Jacobs N. 2018. A Multimodal Approach to Mapping Soundscapes. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/IGARSS.2018.8517977.
    bibtex | website | doi
  57. PDF Song W, Workman S, Hadzic A, Souleyrette R, Green E, Chen M, Zhang X, Jacobs N. 2018. FARSA: Fully Automated Roadway Safety Assessment. In: IEEE Winter Conference on Applications of Computer Vision (WACV). DOI: 10.1109/WACV.2018.00063.
    bibtex | doi | tweet
  58. Jones D, Jacobs N, Ellingson S. 2018. Learning Deep Feature Representations for Kinase Polypharmacology. In: ACM Richard Tapia Celebration of Diversity in Computing Conference.
    bibtex
  59. Jones D, Bopaiah J, Alghamedy F, Jacobs N, Weiss H, Jong WAD, Ellingson S. 2018. Polypharmacology Within the Full Kinome: a Machine Learning Approach. In: AMIA Informatics Summit.
    bibtex
  60. Zhang X, Zhang Y, Han E, Jacobs N, Han Q, Wang X, Liu J. 2017. Whole Mammogram Image Classification With Convolutional Neural Networks. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM). DOI: 10.1109/BIBM.2017.8217738.
    bibtex | doi
  61. PDF Vo N, Jacobs N, Hays J. 2017. Revisiting IM2GPS in the Deep Learning Era. In: IEEE International Conference on Computer Vision (ICCV). DOI: 10.1109/ICCV.2017.286.
    bibtex | website | doi
  62. PDF Workman S, Zhai M, Crandall D, Jacobs N. 2017. A Unified Model for Near and Remote Sensing. In: IEEE International Conference on Computer Vision (ICCV). DOI: 10.1109/ICCV.2017.293.
    bibtex | website | doi
  63. PDF Workman S, Souvenir R, Jacobs N. 2017. Understanding and Mapping Natural Beauty. In: IEEE International Conference on Computer Vision (ICCV). DOI: 10.1109/ICCV.2017.596.
    bibtex | website | doi
  64. Song W, Salem T, Jacobs N, Johnson M. 2017. Detecting the Presence of Bird Vocalizations in Audio Segments Using a Convolutional Neural Network Architecture. In: International Symposium on Acoustic Communication by Animals.
    bibtex
  65. PDF Zhai M, Bessinger Z, Workman S, Jacobs N. 2017. Predicting Ground-Level Scene Layout from Aerial Imagery. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR.2017.440.
    bibtex | code | doi | tweet
  66. PDF Jacobs N, Workman S, Zhai M. 2016. Crossview Convolutional Networks. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2016.8010593.
    bibtex | doi
  67. PDF Bessinger Z, Stauffer C, Jacobs N. 2016. Who Goes There? Approaches to Mapping Facial Appearance Diversity. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL). DOI: 10.1145/2996913.2996997.
    bibtex | doi
  68. Sajid H, Cheung S-ching S, Jacobs N. 2016. Appearance based Background Subtraction for PTZ Cameras. Signal Processing: Image Communication. DOI: 10.1016/j.image.2016.07.008.
    bibtex | doi
  69. PDF Jacobs N, Workman S, Souvenir R. 2016. Cloudmaps from Static Ground-View Video. Image and Vision Computing (IVC) 52:154–166. DOI: 10.1016/j.imavis.2016.05.013.
    bibtex | website | doi
  70. Zhai M, Workman S, Jacobs N. 2016. Camera Geo-Calibration using an MCMC Approach. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7532905.
    bibtex | website | doi
  71. PDF Bessinger Z, Jacobs N. 2016. Quantifying Curb Appeal. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7533189.
    bibtex | website | doi
  72. PDF Workman S, Zhai M, Jacobs N. 2016. Horizon Lines in the Wild. In: British Machine Vision Conference (BMVC).
    bibtex | website | code
  73. PDF Zhai M, Workman S, Jacobs N. 2016. Detecting Vanishing Points using Global Image Context in a Non-Manhattan World. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR.2016.610.
    bibtex | website | code | doi
  74. PDF Salem T, Workman S, Zhai M, Jacobs N. 2016. Analyzing Human Appearance as a Cue for Dating Images. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1–8. DOI: 10.1109/WACV.2016.7477678.
    bibtex | website | doi
  75. PDF Mihail RP, Workman S, Bessinger Z, Jacobs N. 2016. Sky Segmentation in the Wild: An Empirical Study. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1–6. DOI: 10.1109/WACV.2016.7477637.
    bibtex | website | doi
  76. PDF Baltenberger R, Zhai M, Greenwell C, Workman S, Jacobs N. 2016. A Fast Method for Estimating Transient Scene Properties. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1–8. DOI: 10.1109/WACV.2016.7477713.
    bibtex | website | code | doi
  77. PDF Workman S, Souvenir R, Jacobs N. 2015. Wide-Area Image Geolocalization with Aerial Reference Imagery. In: IEEE International Conference on Computer Vision (ICCV). 1–9. DOI: 10.1109/ICCV.2015.451.
    bibtex | website | code | doi
  78. PDF Murdock C, Jacobs N, Pless R. 2015. Building Dynamic Cloud Maps from the Ground Up. In: IEEE International Conference on Computer Vision (ICCV). 1–9. DOI: 10.1109/ICCV.2015.85.
    bibtex | doi
  79. PDF Islam MT, Greenwell C, Souvenir R, Jacobs N. 2015. Large-Scale Geo-Facial Image Analysis. EURASIP Journal on Image and Video Processing (JIVP) 2015:1–14. DOI: 10.1186/s13640-015-0070-9.
    bibtex | website | doi
  80. PDF Islam MT, Workman S, Jacobs N. 2015. Face2GPS: Estimating Geographic Location from Facial Features. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2015.7351072.
    bibtex | website | doi
  81. Workman S, Greenwell C, Zhai M, Baltenberger R, Jacobs N. 2015. DeepFocal: A Method for Direct Focal Length Estimation. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2015.7351024.
    bibtex | website | doi
  82. PDF Workman S, Jacobs N. 2015. On the Location Dependence of Convolutional Neural Network Features. In: IEEE/ISPRS Workshop: Looking from above: When Earth observation meets vision (EARTHVISION). 1–9. DOI: 10.1109/CVPRW.2015.7301385.
    bibtex | doi
  83. Mihail RP, Jacobs N, Goldsmith J, Lohr K. 2015. Using Visual Analytics to Inform Rheumatoid Arthritis Patient Choices. In: Loh CS, Sheng Y, Ifenthaler D eds. Serious Games Analytics. Advances in Game-Based Learning. Springer International Publishing, 211–231. DOI: 10.1007/978-3-319-05834-4_9.
    bibtex | doi
  84. Workman S, Souvenir R, Jacobs N. 2015. Scene Shape Estimation from Multiple Partly Cloudy Days. Computer Vision and Image Understanding (CVIU):116–129. DOI: 10.1016/j.cviu.2014.10.002.
    bibtex | website | doi
  85. PDF Greenwell C, Spurlock S, Souvenir R, Jacobs N. 2014. GeoFaceExplorer: Exploring the Geo-Dependence of Facial Attributes. In: ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information (GEOCROWD). 32–37. DOI: 10.1145/2676440.2676443.
    bibtex | website | doi
  86. PDF Workman S, Mihail RP, Jacobs N. 2014. A Pot of Gold: Rainbows as a Calibration Cue. In: European Conference on Computer Vision (ECCV). 820–835. DOI: 10.1007/978-3-319-10602-1_53.
    bibtex | website | doi
  87. Whitney A, Fessler J, Parker J, Jacobs N. 2014. Received Signal Strength Indication Signature for Passive UHF Tags. In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). 1183–1187. DOI: 10.1109/AIM.2014.6878242.
    bibtex | doi
  88. PDF Shi F, Zhai M, Duncan D, Jacobs N. 2014. MPCA: EM-Based PCA For Mixed-Size Image Datasets. In: IEEE International Conference on Image Processing (ICIP). 1807–1811. DOI: 10.1109/ICIP.2014.7025362.
    bibtex | website | doi
  89. PDF Zhai M, Shi F, Duncan D, Jacobs N. 2014. Covariance-Based PCA for Multi-Size Data. In: International Conference on Pattern Recognition (ICPR). 1603–1608. DOI: 10.1109/ICPR.2014.284.
    bibtex | website | doi
  90. Smith JD, Baltenberger R, Workman S, Jacobs N. 2014. User-in-the-Loop Calibration and Mensuration. In: National Conference on Undergraduate Research (NCUR).
    bibtex
  91. PDF Islam MT, Workman S, Wu H, Souvenir R, Jacobs N. 2014. Exploring the Geo-Dependence of Human Face Appearance. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 1042–1049. DOI: 10.1109/WACV.2014.6835989.
    bibtex | doi
  92. PDF Mihail RP, Blomquist G, Jacobs N. 2014. A CRF Approach to Fitting a Generalized Hand Skeleton Model. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 409–416. DOI: 10.1109/WACV.2014.6836070.
    bibtex | doi
  93. PDF Jacobs N, King J, Bowers D, Souvenir R. 2014. Estimating Cloud Maps from Outdoor Image Sequences. In: IEEE Winter Conference on Applications of Computer Vision (WACV). 961–968. DOI: 10.1109/WACV.2014.6836000.
    bibtex | website | doi
  94. PDF Abrams A, Hawley C, Miskell K, Stoica A, Jacobs N, Pless R. 2013. Shadow Estimation Method for "The Episolar Constraint: Monocular Shape from Shadow Correspondence". arXiv preprint 1304.4112 [cs.CV].
    bibtex
  95. PDF Jacobs N, Workman S, Souvenir R. 2013. Scene Geometry from Several Partly Cloudy Days. In: ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). 1–6. DOI: 10.1109/ICDSC.2013.6778227.
    bibtex | website | doi
  96. Mihail RP, Goldsmith J, Jacobs N, Jaromczyk J. 2013. Teaching Graphics for Games using Microsoft XNA. In: International Conference on Computer Games (CGAMES). 36–40. DOI: 10.1145/2538862.2538898.
    bibtex | doi
  97. Baltenberger R, Knochelman J, Workman S, Islam MT, Jacobs N, Griffioen J. 2013. Constructing a High-Resolution Mosaic of Kentucky Lake. In: Kentucky GIS Conference.
    bibtex
  98. Zhou X, Workman S, Islam MT, Jacobs N, Griffioen J. 2013. Cyber Infrastructure for the VOEIS Project. In: Symposium in the Mathematical, Statistical and Computer Sciences.
    bibtex
  99. PDF Islam MT, Jacobs N, Wu H, Souvenir R. 2013. Images+Weather: Collection, Validation, and Refinement. In: IEEE CVPR Workshop on Ground Truth. 1–7.
    bibtex
  100. PDF Jacobs N, Islam MT, Workman S. 2013. Cloud Motion as a Calibration Cue. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1344–1351. DOI: 10.1109/CVPR.2013.177.
    bibtex | website | doi
  101. PDF Jacobs N, Abrams A, Pless R. 2013. Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 35:2526–2538. DOI: 10.1109/TPAMI.2013.55.
    bibtex | website | doi
  102. PDF Murdock C, Jacobs N, Pless R. 2013. Webcam2Satellite: Estimating Cloud Maps from Webcam Imagery. In: IEEE Workshop on Applications of Computer Vision (WACV). 214–221. DOI: 10.1109/WACV.2013.6475021.
    bibtex | doi
  103. PDF Mihail RP, Jacobs N, Goldsmith J. 2012. Real Time Gesture Recognition With 2 Kinect Sensors. In: International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV). 1–7.
    bibtex
  104. Workman S, Knochelmann J, Jacobs N, White DS, Hauer R. 2012. Registration and Visualization of Scientific Aerial Imagery at Kentucky Lake. In: Kentucky EPSCoR Conference.
    bibtex
  105. Welty E, Pfeffer T, O’Neel S, Jacobs N. 2012. Calving Dynamics of the Columbia Glacier, AK (2000-2011 Update). In: Workshop on the Dynamics and Mass Budget of Arctic Glaciers.
    bibtex
  106. PDF Abrams A, Tucek J, Jacobs N, Pless R. 2012. LOST: Longterm Observation of Scenes (with Tracks). In: IEEE Workshop on Applications of Computer Vision (WACV). 297–304. DOI: 10.1109/WACV.2012.6163032.
    bibtex | doi
  107. Wang P, Bhattacharyya S, White D, Jacobs N. 2011. Visualization of Kentucky Lake. In: Kentucky EPSCoR Conference.
    bibtex
  108. Milliman T, Hufkins K, Lavine I, Jacobs N, Pless R, Richardson A, Frolking S. 2011. The PhenoCam Website: Adventures in “Crowd-Sourcing” Data Collection, Distribution and Analysis. In: American Geophysical Union Annual Meeting.
    bibtex
  109. PDF Dixon M, Abrams A, Jacobs N, Pless R. 2011. On Analyzing Video with Very Small Motions. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1–8. DOI: 10.1109/CVPR.2011.5995703.
    bibtex | doi
  110. PDF Jacobs N, Miskell K, Pless R. 2011. Webcam Geo-localization using Aggregate Light Levels. In: IEEE Workshop on Applications of Computer Vision (WACV). 132–138. DOI: 10.1109/WACV.2011.5711494.
    bibtex | website | doi
  111. PDF Abrams A, Fridrich N, Jacobs N, Pless R. 2010. Participatory Integration of Live Webcams into GIS. In: International Conference on Computing for Geospatial Research and Applications (COM.GEO). 1–8. DOI: 10.1145/1823854.1823867.
    bibtex | doi
  112. PDF Jacobs N, Schuh S, Pless R. 2010. Compressive Sensing and Differential Image Motion Estimation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 718–721. DOI: 10.1109/ICASSP.2010.5495053.
    bibtex | website | doi
  113. PDF Jacobs N, Bies B, Pless R. 2010. Using Cloud Shadows to Infer Scene Structure and Camera Calibration. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1102–1109. DOI: 10.1109/CVPR.2010.5540093.
    bibtex | website | doi
  114. PDF Jacobs N, Burgin W, Fridrich N, Abrams A, Miskell K, Braswell BH, Richardson AD, Pless R. 2009. The Global Network of Outdoor Webcams: Properties and Applications. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL). 111–120. DOI: 10.1145/1653771.1653789.
    bibtex | doi
  115. Pless R, Jacobs N, Dixon M, Hartley R, Baker P, Brock D, Cassimatis N, Perzanowski D. 2009. Persistence and Tracking: Putting Vehicles and Trajectories in Context. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2009.5466307.
    bibtex | doi
  116. Jacobs N, Souvenir R, Pless R. 2009. Passive Vision: The Global Webcam Imaging Network. In: IEEE Applied Imagery and Pattern Recognition (AIPR). 1–8. DOI: 10.1109/AIPR.2009.5466314.
    bibtex | doi
  117. PDF Jacobs N, Dixon M, Satkin S, Pless R. 2009. Efficient Tracking of Many Objects in Structured Environments. In: IEEE ICCV Workshop on Visual Surveillance. 1161–1168. DOI: 10.1109/ICCVW.2009.5457477.
    bibtex | doi
  118. Jacobs N, Pless R. 2009. Calibrating and Using the Global Network of Outdoor Webcams. In: ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). 1–2. DOI: 10.1109/ICDSC.2009.5289404.
    bibtex | doi
  119. PDF Dixon M, Jacobs N, Pless R. 2009. An Efficient System for Vehicle Tracking in Multi-Camera Networks. In: ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). 1–8. DOI: 10.1109/ICDSC.2009.5289383.
    bibtex | doi
  120. Jacobs N. 2010. Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams. Computer Science and Engineering, Washington University in St. Louis, MO, USA.
    bibtex
  121. PDF Jacobs N, Schuh S, Pless R. 2009. On Unusual Pixel Shapes and Image Motion. Computer Science and Engineering, Washington University in St. Louis, MO, USA.
    bibtex | website
  122. PDF Jacobs N, Burgin W, Speyer R, Ross D, Pless R. 2009. Adventures in Archiving and Using Three Years of Webcam Images. In: IEEE CVPR Workshop on Internet Vision. 39–46. DOI: 10.1109/CVPRW.2009.5204185.
    bibtex | doi
  123. Jacobs N, Pless R. 2008. Time Scales in Video Surveillance. IEEE Transactions on Circuits and Systems for Video Technology (CSVT) 18:1106–1113. DOI: 10.1109/TCSVT.2008.928215.
    bibtex | doi
  124. PDF Jacobs N, Dixon M, Pless R. 2008. Location-specific Transition Distributions for Tracking. In: IEEE Workshop on Motion and Video Computing (WMVC). DOI: 10.1109/WMVC.2008.4544061.
    bibtex | doi
  125. PDF Jacobs N, Roman N, Pless R. 2008. Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras. In: IEEE Workshop on Applications of Computer Vision (WACV). 1–6. DOI: 10.1109/WACV.2008.4544040.
    bibtex | doi
  126. PDF Jacobs N, Satkin S, Roman N, Speyer R, Pless R. 2007. Geolocating Static Cameras. In: IEEE International Conference on Computer Vision (ICCV). 1–6. DOI: 10.1109/ICCV.2007.4408995.
    bibtex | website | doi
  127. PDF Jacobs N, Roman N, Pless R. 2007. Consistent Temporal Variations in Many Outdoor Scenes. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1–6. DOI: 10.1109/CVPR.2007.383258.
    bibtex | website | doi
  128. PDF Jacobs N, Pless R. 2007. Shape Background Modeling: The Shape of Things That Came. In: IEEE Workshop on Motion and Video Computing (WMVC). 1–6. DOI: 10.1109/WMVC.2007.35.
    bibtex | website | doi
  129. PDF Jacobs N, Pless R. 2006. Real-time Constant Memory Visual Summaries for Surveillance. In: ACM International Workshop on Visual Surveillance and Sensor Networks (VSSN). DOI: 10.1145/1178782.1178805.
    bibtex | website | doi
  130. PDF Dixon M, Jacobs N, Pless R. 2006. Finding Minimal Parameterizations of Cylindrical Image Manifolds. In: IEEE CVPR Workshop on Perceptual Organization in Computer Vision (POCV). 1–8. DOI: 10.1109/CVPRW.2006.82.
    bibtex | doi
  131. Anderson T, Hussam A, Plummer B, Jacobs N. 2002. Pie Charts for Visualizing Query Term Frequency in Search Results. In: International Conference on Asian Digital Libraries (ICADL). DOI: 10.1007/3-540-36227-4_52.
    bibtex | doi
  132. Hussam A, Anderson T, Jacobs N, Eckhoff D, Merayyan A, Yang Y. 1999. Semantic Highlighting: Enhancing Search Engine Display and Web Document Interactivity. In: IFIP Conference on Human-Computer Interaction (INTERACT). DOI: 10.1007/3-540-36227-4_52.
    bibtex | doi