Multimodal Vision Research Laboratory

MVRL

publications

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: astronomical imagery and data; camera calibration; LiDAR Processing; image localization; medical and biological imaging; image motion; remote sensing and mapping; social media; video surveillance and object tracking; timelapse imaging; transportation; and outdoor webcam imagery.

You can also find my publications using Google Scholar, DBLP, and Semantic Scholar.


Preprints

  1. Sarkar A, Sastry S, Pirinen A, Zhang C, Jacobs N, Vorobeychik Y. 2024. GOMAA-Geo: GOal Modality Agnostic Active Geo-localization.
    bibtex | paper | code
  2. Lanier M, Xu Y, Jacobs N, Zhang C, Vorobeychik Y. 2024. Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning.
    bibtex | paper
  3. Sastry S, Xing X, Dhakal A, Khanal S, Ahmad A, Jacobs N. 2023. LD-SDM: Language-Driven Hierarchical Species Distribution Modeling.
    bibtex | paper

Accepted / Published

  1. Levering A, Marcos D, Jacobs N, Tuia D. 2024. Prompt-guided and multimodal landscape scenicness assessments with vision-language models. PLOS ONE.
    bibtex
  2. Dhakal A, Khanal S, Sastry S, Ahmad A, Jacobs N. 2024. GeoBind: Binding text, image, and audio through satellite images. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex | paper
  3. Jain P, Marcos D, Ienco D, Interdonato R, Dhakal A, Jacobs N, Berchoux T. 2024. Aligning Geo-Tagged CLIP Representations and Satellite Imagery for Few-Shot Land Use Classification. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  4. Hormozabad SJ, Jacobs N, Soto MG. 2024. Reinforcement Learning for Integrated Structural Control and Health Monitoring. Practice Periodical on Structural Design and Construction 29. DOI: 10.1061/PPSCFX.SCENG-1455.
    bibtex | doi
  5. Shen S, Li C, Donkelaar A van, Jacobs N, Wang C, Martin RV. 2024. Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning. ACS ES&T Air. DOI: 10.1021/acsestair.3c00054.
    bibtex | paper | doi
  6. Sarkar A, DiChristofano A, Das S, Fowler P, Jacobs N, Vorobeychik Y. 2024. Geospatial Active Search for Preventing Evictions. In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
    bibtex
  7. Liang G, Zulu J, Xing X, Jacobs N. 2023. Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching. Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). DOI: 10.1109/JSTARS.2023.3331438.
    bibtex | paper | doi
  8. Xing X, Xiong Z, Stylianou A, Sastry S, Gong L, Jacobs N. 2024. Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning. In: Workshop on Representation Learning with Very Limited Images.
    bibtex | paper | code
  9. Skean O, Dhakal A, Jacobs N, Giraldo LGS. 2024. FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. In: European Conference on Computer Vision (ECCV).
    bibtex | paper
  10. Sastry S, Khanal S, Dhakal A, Huang D, Jacobs N. 2024. BirdSat: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
    bibtex | paper | press release | linkedin | code
  11. Greenwell C, Leotta M, Crall J, Jacobs N, Purri M, Dana K, Hadzic A, Workman S. 2024. WATCH: Wide-Area Terrestrial Change Hypercube. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
    bibtex | paper | code
  12. Shugaev M, Semenov I, Ashley K, Klaczynski M, Cuntoor N, Lee MW, Jacobs N. 2024. ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
    bibtex | paper
  13. Sarkar A, Lanier M, Alfeld S, Feng J, Garnett R, Jacobs N, Vorobeychik Y. 2024. A Visual Active Search Framework for Geospatial Exploration. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
    bibtex | paper | press release | code
  14. Sarkar A, Jacobs N, Vorobeychik Y. 2023. A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. In: Neural Information Processing Systems (NeurIPS).
    bibtex | paper | press release | code
  15. Xiong Z, Qiao F, Zhang Y, Jacobs N. 2023. StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation. In: British Machine Vision Conference (BMVC).
    bibtex | paper | press release | linkedin
  16. Khanal S, Sastry S, Dhakal A, Jacobs N. 2023. Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. In: British Machine Vision Conference (BMVC).
    bibtex | paper | press release | linkedin | code
  17. Dhakal A, Ahmad A, Khanal S, Sastry S, Kerner H, Jacobs N. 2024. Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION).
    bibtex | paper
  18. Sastry S, Khanal S, Dhakal A, Jacobs N. 2024. GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION).
    bibtex | paper
  19. Xing X, Liang G, Wang C, Jacobs N, Lin A-L. 2023. Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder. Bioengineering 10. DOI: 10.3390/bioengineering10080901.
    bibtex | paper | doi
  20. Sastry S, Jacobs N, Belgiu M, Maretto RV. 2023. Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  21. Brodie B, Sastry S, Birge J, Pless R, Jacobs N. 2023. A Cost-sensitive Approach to Dimensionality Reduction for Multispectral Imagery. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  22. Sastry S, Dhakal A, Brodie B, Khanal S, Jacobs N. 2023. Explorations in Self-supervised Learning for Change Detection. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  23. Archbold C, Brodie B, Ogholbake AA, Jacobs N. 2023. Fine-grained Property Value Assessment Using Probabilistic Disaggregation. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex | paper
  24. Zhang Y, Rafique MU, Christie G, Jacobs N. 2023. CrossAdapt: Cross-scene Adaptation for Multi-domain Depth Estimation. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  25. Zhang Y, Rafique MU, Jacobs N. 2023. CrossSeg: Cross-scene Few-shot Aerial Segmentation Using Probabilistic Prototypes. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
    bibtex
  26. Xing X, Rafique MU, Liang G, Blanton H, Zhang Y, Wang C, Jacobs N, Lin A-L. 2023. Efficient Training on Alzheimer’s Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification. Electronics 12. DOI: 10.3390/electronics12020467.
    bibtex | paper | doi
  27. Zhu XX, Wang Y, Kochupillai M, Werner M, Haberle M, Hoffmann EJ, Taubenbock H, Tuia D, Levering A, Jacobs N, Kruspe A, Abdulahhad K. 2022. Geoinformation Harvesting From Social Media Data: A community remote sensing approach. IEEE Geoscience and Remote Sensing Magazine 10:150–180. DOI: 10.1109/MGRS.2022.3219584.
    bibtex | paper | doi
  28. Shen S, Donkelaar A van, Martin RV, Jacobs N, Wang C. 2022. Improving representation of the AOD to PM_2.5 relationship with a convolutional neural network. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
    bibtex | paper
  29. Xing X, Peng C, Zhang Y, Lin A-L, Jacobs N. 2022. AssocFormer: Association Transformer on Multi-label Classification. In: British Machine Vision Conference (BMVC).
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  30. Xing E, Xing X, Liu L, Jacobs N, Qu Y, Liang G. 2022. Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. In: International Conference on Pattern Recognition (ICPR 2022). DOI: 10.1109/ICPR56361.2022.9956394.
    bibtex | paper | doi
  31. Lin S-C, Su Y, Liang G, Zhang Y, Jacobs N, Zhang Y. 2022. Estimating Cluster Masses from SDSS Multi-band Images with Transfer Learning. Monthly Notices of the Royal Astronomical Society (MNRAS) 512:3885–3894. DOI: 10.1093/mnras/stac725.
    bibtex | paper | doi
  32. Khanal S, Brodie B, Xing X, Lin A-L, Jacobs N. 2022. Causality for Inherently Explainable Transformers: CAT-XPLAIN. In: XAI4CV: Explainable Artificial Intelligence for Computer Vision (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops).
    bibtex | paper
  33. a thumbnail for Revisiting Near/Remote Sensing with Geospatial Attention
    Workman S, Rafique MU, Blanton H, Jacobs N. 2022. Revisiting Near/Remote Sensing with Geospatial Attention. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR52688.2022.00182.
    bibtex | paper | doi | tweet
  34. a thumbnail for Content-Based Detection of Temporal Metadata Manipulation
    Padilha R, Salem T, Workman S, Andaló FA, Rocha A, Jacobs N. 2022. Content-Based Detection of Temporal Metadata Manipulation. IEEE Transactions on Information Forensics and Security:1316–1327. DOI: 10.1109/TIFS.2022.3159154.
    bibtex | paper | website | doi | tweet | code
  35. Liang G, Ganesh H, Steffe D, Liu L, Jacobs N, Zhang J. 2022. Development of CNN Models for the Enteral Feeding Tube Positioning Assessment on A Small Scale Data Set. BMC Medical Imaging 22. DOI: 10.1186/s12880-022-00766-w.
    bibtex | paper | doi
  36. Xing X, Liang G, Zhang Y, Khanal S, Lin A-L, Jacobs N. 2022. ADViT: VISION TRANSFORMER ON MULTI-MODALITY PET IMAGES FOR ALZHEIMER DISEASE DIAGNOSIS. In: IEEE International Symposium on Biomedical Imaging (ISBI). DOI: 10.1109/ISBI52829.2022.9761584.
    bibtex | doi
  37. a thumbnail for A Structure-Aware Method for Direct Pose Estimation
    Blanton H, Workman S, Jacobs N. 2022. A Structure-Aware Method for Direct Pose Estimation. In: IEEE Winter Conference on Applications of Computer Vision (WACV). DOI: 10.1109/WACV51458.2022.00028.
    bibtex | paper | doi
  38. Rafique MU, Zhu J, Jacobs N. 2021. Automatic Segmentation of Sinkholes Using a Convolutional Neural Network. Earth and Space Science:19. DOI: 10.1002/essoar.10509794.1.
    bibtex | paper | doi
  39. Khanal S, Chen J, Jacobs N, Lin A-L. 2021. Alzheimer’s Disease Classification Using Genetic Data. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
    bibtex | paper
  40. a thumbnail for Dynamic Feature Alignment for Semi-supervised Domain Adaptation
    Zhang Y, Liang G, Jacobs N. 2021. Dynamic Feature Alignment for Semi-supervised Domain Adaptation. In: British Machine Vision Conference (BMVC).
    bibtex | paper
  41. a thumbnail for Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
    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 26. DOI: 10.1109/JBHI.2021.3110805.
    bibtex | paper | doi
  42. Liang G, Xing X, Liu L, Zhang Y, Ying Q, Lin A-L, Jacobs N. 2021. Alzheimer’s Disease Classification Using 2D Convolutional Neural Networks. In: International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC46164.2021.9629587.
    bibtex | doi
  43. 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). DOI: 10.1109/EMBC46164.2021.9630174.
    bibtex | doi
  44. Jones D, Jacobs N. 2021. Intensity Harmonization for Airborne LiDAR. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/IGARSS47720.2021.9553605.
    bibtex | paper | doi
  45. 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). DOI: 10.1109/IGARSS47720.2021.9554405.
    bibtex | paper | doi
  46. a thumbnail for Unifying Guided and Unguided Outdoor Image Synthesis
    Rafique MU, Zhang Y, Brodie B, Jacobs N. 2021. Unifying Guided and Unguided Outdoor Image Synthesis. In: New Trends in Image Restoration and Enhancement (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops). 776–785. DOI: 10.1109/CVPRW53098.2021.00087.
    bibtex | paper | website | doi
  47. 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. IEEE Geoscience and Remote Sensing Magazine 9:88–104. DOI: 10.1109/MGRS.2020.3043504.
    bibtex | paper | doi
  48. 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). DOI: 10.1109/ICPR48806.2021.9412498.
    bibtex | paper | website | doi | tweet
  49. 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
  50. Liang G, Su Y, Lin S-C, Zhang Y, Zhang Y, Jacobs N. 2020. Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate. In: Workshop on Machine Learning and the Physical Sciences at the 34th Conference on Neural Information Processing Systems.
    bibtex | paper
  51. 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 | paper | doi
  52. 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 | paper
  53. a thumbnail for Improved Trainable Calibration Method for Neural Networks
    Liang G, Zhang Y, Wang X, Jacobs N. 2020. Improved Trainable Calibration Method for Neural Networks. In: British Machine Vision Conference (BMVC).
    bibtex | paper | website | tweet
  54. a thumbnail for Generative Appearance Flow: A Hybrid Approach for Outdoor View Synthesis
    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 | paper | website | tweet | code
  55. 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 | paper
  56. 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 | paper | doi | tweet
  57. 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
  58. Blanton H, Grate S, Jacobs N. 2020. Surface Modeling for Airborne LiDAR. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS). DOI: 10.1109/IGARSS39084.2020.9323522.
    bibtex | paper | doi | tweet
  59. 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). DOI: 10.1109/IGARSS39084.2020.9324617.
    bibtex | paper | doi | tweet
  60. 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). DOI: 10.1109/IGARSS39084.2020.9323759.
    bibtex | paper | doi | tweet
  61. 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 | paper | doi
  62. 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). DOI: 10.1109/CVPRW50498.2020.00027.
    bibtex | paper | doi | tweet
  63. Hadzic A, Blanton H, Song W, Chen M, Workman S, Jacobs N. 2020. RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION). DOI: 10.1109/CVPRW50498.2020.00112.
    bibtex | paper | website | doi | tweet
  64. a thumbnail for Learning a Dynamic Map of Visual Appearance
    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 | paper | website | doi | tweet
  65. a thumbnail for Dynamic Traffic Modeling from Overhead Imagery
    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 | paper | website | doi | tweet
  66. 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.
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  67. a thumbnail for Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest
    Maretto RV, Fonseca LMG, Jacobs NB, Körting TS, Bendini HN, Parente LL. 2020. 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.
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  68. 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 | paper | doi
  69. 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). DOI: 10.1109/BigData47090.2019.9006307.
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  70. 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
  71. a thumbnail for Deep Learning for Conifer/Deciduous Classification of
    Airborne LiDAR 3D Point Clouds Representing Individual Trees
    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.
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  72. 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 | paper | doi
  73. 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 | paper | doi
  74. 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
  75. 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
  76. Zhu J, Nolte AM, Jacobs N, Ye M. 2019. Incorporating Machine Learning with LiDAR for Delineating Sinkholes. In: Kentucky Water Resources Annual Symposium.
    bibtex
  77. 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 | paper | doi
  78. a thumbnail for Remote Estimation of Free-Flow Speeds
    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 | paper | doi | tweet
  79. 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 | paper | doi
  80. 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 | paper | doi | tweet
  81. a thumbnail for GANai: Standardizing CT Images using Generative Adversarial Network with Alternative Improvement
    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.
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  82. Mihail RP, Liang G, Jacobs N. 2019. Automatic Hand Skeletal Shape Estimation from Radiographs. IEEE Transactions on NanoBioscience 18:296–305. DOI: 10.1109/TNB.2019.2911026.
    bibtex | doi
  83. 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.
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  84. 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
  85. 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 | paper | website | doi
  86. 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
  87. a thumbnail for Automatic Hand Skeletal Shape Estimation from Radiographs
    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.
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  88. a thumbnail for A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery
    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 | paper | doi | tweet | code
  89. a thumbnail for Learning to Look around Objects for Top-View Representations of Outdoor Scenes
    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.
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  90. a thumbnail for Learning Geo-Temporal Image Features
    Zhai M, Salem T, Greenwell C, Workman S, Pless R, Jacobs N. 2018. Learning Geo-Temporal Image Features. In: British Machine Vision Conference (BMVC).
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  91. 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.
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  92. 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 | paper | website | doi
  93. a thumbnail for A Multimodal Approach to Mapping Soundscapes
    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 | paper | website | doi
  94. a thumbnail for FARSA: Fully Automated Roadway Safety Assessment
    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 | paper | doi | tweet
  95. 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
  96. 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
  97. 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.
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  98. 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.
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  99. a thumbnail for A Unified Model for Near and Remote Sensing
    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.
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  100. a thumbnail for Understanding and Mapping Natural Beauty
    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.
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  101. 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.
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  102. a thumbnail for Predicting Ground-Level Scene Layout from Aerial Imagery
    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.
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  103. Jacobs N, Workman S, Zhai M. 2016. Crossview Convolutional Networks. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2016.8010593.
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  104. 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.
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  105. 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.
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  106. a thumbnail for Cloudmaps from Static Ground-View Video
    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.
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  107. 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.
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  108. Bessinger Z, Jacobs N. 2016. Quantifying Curb Appeal. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7533189.
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  109. a thumbnail for Horizon Lines in the Wild
    Workman S, Zhai M, Jacobs N. 2016. Horizon Lines in the Wild. In: British Machine Vision Conference (BMVC).
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  110. a thumbnail for Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
    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.
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  111. 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.
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  112. 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.
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  113. 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.
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  114. a thumbnail for Wide-Area Image Geolocalization with Aerial Reference Imagery
    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.
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  115. a thumbnail for Building Dynamic Cloud Maps from the Ground Up
    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.
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  116. a thumbnail for Large-Scale Geo-Facial Image Analysis
    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.
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  117. 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.
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  118. 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.
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  119. Workman S, Jacobs N. 2015. On the Location Dependence of Convolutional Neural Network Features. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION). 1–9. DOI: 10.1109/CVPRW.2015.7301385.
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  120. 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.
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  121. a thumbnail for Scene Shape Estimation from Multiple Partly Cloudy Days
    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.
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  122. 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.
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  123. a thumbnail for A Pot of Gold: Rainbows as a Calibration Cue
    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.
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  124. 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.
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  125. a thumbnail for MPCA: EM-Based PCA For Mixed-Size Image Datasets
    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.
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  126. 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.
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  127. Smith JD, Baltenberger R, Workman S, Jacobs N. 2014. User-in-the-Loop Calibration and Mensuration. In: National Conference on Undergraduate Research (NCUR).
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  128. 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.
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  129. 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.
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  130. a thumbnail for Estimating Cloud Maps from Outdoor Image Sequences
    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.
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  131. 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].
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  132. a thumbnail for Scene Geometry from Several Partly Cloudy Days
    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.
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  133. 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.
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  134. 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.
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  135. 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.
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  136. Islam MT, Jacobs N, Wu H, Souvenir R. 2013. Images+Weather: Collection, Validation, and Refinement. In: IEEE CVPR Workshop on Ground Truth. 1–7.
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  137. a thumbnail for Cloud Motion as a Calibration Cue
    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.
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  138. 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.
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  139. 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.
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  140. 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.
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  141. 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.
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  142. 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.
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  143. a thumbnail for LOST: Longterm Observation of Scenes (with Tracks)
    Abrams A, Tucek J, Little 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.
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  144. Wang P, Bhattacharyya S, White D, Jacobs N. 2011. Visualization of Kentucky Lake. In: Kentucky EPSCoR Conference.
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  145. 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.
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  146. a thumbnail for On Analyzing Video with Very Small Motions
    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.
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  147. 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.
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  148. 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.
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  149. 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.
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  150. a thumbnail for Using Cloud Shadows to Infer Scene Structure and Camera Calibration
    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.
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  151. a thumbnail for The Global Network of Outdoor Webcams: Properties and Applications
    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.
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  152. 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.
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  153. 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.
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  154. 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.
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  155. 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.
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  156. 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.
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  157. Jacobs N. 2010. Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams. Computer Science and Engineering, Washington University in St. Louis, MO, USA.
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  158. 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.
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  159. 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.
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  160. 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.
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  161. 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.
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  162. 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.
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  163. a thumbnail for Geolocating Static Cameras
    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.
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  164. a thumbnail for Consistent Temporal Variations in Many Outdoor Scenes
    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.
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  165. 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.
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  166. 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.
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  167. 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.
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  168. 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.
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  169. 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.
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