Multimodal Vision Research Laboratory

MVRL

Publications

A comprehensive collection of our research contributions in computer vision and multimodal learning.

You can also find our publications using Google Scholar DBLP Semantic Scholar

Preprints

  1. Xiong Z, Ye X, Yaman B, Cheng S, Lu Y, Luo J, Jacobs N, Ren L. 2026. UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving. International Journal of Applied Earth Observation and Geoinformation.
  2. Sastry S, Khanal S, Dhakal A, Lin J, Cher D, Jarosz P, Jacobs N. 2025. ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology .
  3. Khanal S, Sastry S, Dhakal A, Ahmad A, Jacobs N. 2025. Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping. arXiv 2505.13777.
  4. Xiong Z, Xiong W, Shi J, Zhang H, Song Y, Jacobs N. 2024. GroundingBooth: Grounding Text-to-Image Customization. arXiv 2409.08520.
  5. Thumbnail for MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas
    Qiao F, Xiong Z, Zhu X, Ma Y, He Q, Jacobs N. 2024. MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas.

Publications

  1. Sarkar A, Sastry S, Pirinen A, Jacobs N, Vorobeychik Y. 2026. DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments. In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS).
  2. Thumbnail for VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics
    Cher D, Wei B, Sastry S, Jacobs N. 2026. VectorSynth: Fine-Grained Satellite Image Synthesis with Structured Semantics. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
  3. Wollam A, Ashley K, Shugaev M, Arend O, Semenov IY, Dashtestani H, Ravi S, Jacobs N. 2026. Towards Unconstrained Cross-View Pose Estimation. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
  4. Ahmad A, Sastry S, Dhakal A, Khanal S, Levering A, Gilani H, Jacobs N. 2026. Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion. International Journal of Applied Earth Observation and Geoinformation 146:105030. DOI: https://doi.org/10.1016/j.jag.2025.105030.
  5. Elallaf A, Jacobs N, Ye X, Chen M, Liang G. 2026. Beta Distribution Learning for Reliable Roadway Crash Risk Assessment. In: Association for the Advancement of Artificial Intelligence (AAAI).
  6. Badzioch R, Jacobs N, Rastetter EB, Rocha AV. 2025. Mapping Post-Fire Polygonal Ice Wedge Degradation in Arctic Tundra Using High Resolution Satellite Imagery and Computer Learning. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  7. Muhawenayo G, Fang Z, Khanal S, Wollam A, Corley I, Robinson C, Mohr M, Holmes C, Marcus J, Estes LD, Jacobs N, Tárano AM, Kerner HR. 2025. Global Field Boundary Delineation Model Zoo and Tooling. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  8. Balogun RO, Chakraborty T, Muhawenayo G, Kerner HR, Tárano AM, Fang Z, Jacobs N, Khanal S, Abedi R, Estes LD. 2025. Combining open labeled datasets with varying domains to improve large-scale agricultural field boundary delineation. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  9. Xing E, Stylianou A, Pless R, Jacobs N. 2025. QuARI: Query Adaptive Retrieval Improvement. In: Neural Information Processing Systems (NeurIPS).
  10. Shen S, Donkelaar A van, Jacobs N, Li C, Martin RV. 2025. Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations for North America with Deep Learning from Geophysical A Priori Information. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  11. Thumbnail for Global and Local Entailment Learning for Natural World Imagery
    Sastry S, Dhakal A, Xing E, Khanal S, Jacobs N. 2025. Global and Local Entailment Learning for Natural World Imagery. In: IEEE International Conference on Computer Vision (ICCV).
  12. Thumbnail for LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
    Sastry S, Xing X, Dhakal A, Khanal S, Ahmad A, Jacobs N. 2025. LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. In: Computer Vision for Ecology (IEEE International Conference on Computer Vision (ICCV) Workshops).
  13. Thumbnail for Towards Open-World Generation of Stereo Images and Unsupervised Matching
    Qiao F, Xiong Z, Xing E, Jacobs N. 2025. Towards Open-World Generation of Stereo Images and Unsupervised Matching. In: IEEE International Conference on Computer Vision (ICCV).
  14. Thumbnail for RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings
    Dhakal A, Sastry S, Khanal S, Ahmad A, Xing E, Jacobs N. 2025. RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  15. Xiong Z, Chen Z, Li Z, Xu Y, Jacobs N. 2025. PanoDreamer: Consistent Text to 360 Scene Generation. In: 4th Computer Vision for Metaverse Workshop (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops).
  16. Liu W, Xiong Z, Li X, Jacobs N. 2025. DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal. In: 4th Computer Vision for Metaverse Workshop (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops).
  17. Kolouju P, Xing E, Pless R, Jacobs N, Stylianou A. 2025. good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. In: SyntaGen: 2nd Workshop on Harnessing Generative Models for Synthetic Visual Datasets (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops).
  18. Mohr M, Roby M, Bosloper I, Kerner HR, Jacobs N, Robinson C. 2025. Fields of The World and fiboa: Towards interoperable worldwide agricultural field boundaries through standardization and machine-learning . In: Living Planet Symposium (LPS).
  19. Thumbnail for ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval
    Xing E, Kolouju P, Pless R, Stylianou A, Jacobs N. 2025. ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  20. Thumbnail for Mixed-View Panorama Synthesis using Geospatially Guided Diffusion
    Xiong Z, Xing X, Workman S, Khanal S, Jacobs N. 2025. Mixed-View Panorama Synthesis using Geospatially Guided Diffusion. Transactions on Machine Learning Research (TMLR).
  21. Favarão Leão AL, Banda B, Xing E, Gudapati S, Ahmad A, Lin J, Sastry S, Jacobs N, Siqueira Reis R. 2025. Applications of artificial intelligence in public health: analyzing the built environment and addressing spatial inequities. Journal of Public Health. DOI: 10.1007/s10389-025-02444-x.
  22. Sarkar A, DiChristofano A, Das S, Fowler P, Jacobs N, Vorobeychik Y. 2025. Active Geospatial Search for Efficient Tenant Eviction Outreach. In: Association for the Advancement of Artificial Intelligence (AAAI).
  23. Thumbnail for TaxaBind: A Unified Embedding Space for Ecological Applications
    Sastry S, Khanal S, Dhakal A, Ahmad A, Jacobs N. 2025. TaxaBind: A Unified Embedding Space for Ecological Applications. In: IEEE Winter Conference on Applications of Computer Vision (WACV).
  24. Thumbnail for Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
    Kerner HR, Chaudhari S, Ghosh A, Robinson C, Ahmad A, Choi E, Jacobs N, Holmes C, Mohr M, Dodhia R, Ferres JML, Marcus J. 2025. Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. In: Association for the Advancement of Artificial Intelligence (AAAI).
  25. Shen S, Donkelaar A van, Jacobs N, Li C, Martin RV. 2024. Enhancing Estimation of Fine Particulate Matter Species Concentrations over North America by Including Geophysical a priori Information in Deep Learning. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  26. Sastry S, Xing X, Dhakal A, Khanal S, Ahmad A, Jacobs N. 2024. LD-SDM: Language-Driven Hierarchical Species Distribution Modeling. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  27. Ahmad A, Dhakal A, Sastry S, Khanal S, Xing E, Jacobs N. 2024. Improved Canopy Vertical Structural Diversity Mapping Across Varied Topographies Using Deep Learning Techniques. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  28. Kerner HR, Chaudhari S, Robinson C, Ghosh A, Ahmad A, Choi E, Jacobs N, Holmes C, Mohr M, Marcus J. 2024. Fields of The World (FTW!): A New Machine Learning Dataset for Agricultural Field Boundary Segmentation on Four Continents. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  29. Lin S-C, Su Y, Gastaldello F, Jacobs N. 2024. Semisupervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters. Astrophysical Journal 977:176. DOI: 10.3847/1538-4357/ad8888.
  30. Nascimento J, Jacobs N, Rocha A. 2024. Interactive Event Sifting using Bayesian Graph Neural Networks. In: IEEE International Workshop on Information Forensics and Security (WIFS).
  31. Thumbnail for GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
    Sarkar A, Sastry S, Pirinen A, Zhang C, Jacobs N, Vorobeychik Y. 2024. GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. In: Neural Information Processing Systems (NeurIPS).
  32. Lanier M, Xu Y, Jacobs N, Zhang C, Vorobeychik Y. 2024. Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. In: IEEE International Conference on Machine Learning and Applications.
  33. Sastry S, Ahmad A, Dhakal A, Khanal S, Xing E, Jacobs N. 2024. ClimSatDiff: Synthesizing the Earth’s Surface Conditioned on Climatic Variables using Diffusion Models. In: American Geophysical Union (AGU) Fall Meeting Abstracts.
  34. Thumbnail for PSM: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping
    Khanal S, Xing E, Sastry S, Dhakal A, Xiong Z, Ahmad A, Jacobs N. 2024. PSM: Learning Probabilistic Embeddings for Multi-scale Zero-shot Soundscape Mapping. In: ACM Multimedia. DOI: 10.1145/3664647.3681620.
  35. Thumbnail for FroSSL: Frobenius Norm Minimization for Self-Supervised Learning
    Skean O, Dhakal A, Jacobs N, Giraldo LGS. 2024. FroSSL: Frobenius Norm Minimization for Self-Supervised Learning. In: European Conference on Computer Vision (ECCV).
  36. 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.
  37. 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).
  38. 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).
  39. 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).
  40. 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.
  41. Dhakal A, Ahmad A, Khanal S, Sastry S, Kerner HR, Jacobs N. 2024. Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION).
  42. 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).
  43. 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.
  44. 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).
  45. Thumbnail for BirdSat: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
    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).
  46. Thumbnail for WATCH: Wide-Area Terrestrial Change Hypercube
    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).
  47. 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).
  48. Levering A, Marcos D, Jacobs N, Tuia D. 2024. Prompt-guided and multimodal landscape scenicness assessments with vision-language models. PLOS ONE.
  49. Thumbnail for A Partially-Supervised Reinforcement Learning Framework for Visual Active Search
    Sarkar A, Jacobs N, Vorobeychik Y. 2023. A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. In: Neural Information Processing Systems (NeurIPS).
  50. 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).
  51. Khanal S, Sastry S, Dhakal A, Jacobs N. 2023. Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. In: British Machine Vision Conference (BMVC).
  52. 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.
  53. Lanier M, Dhakal A, Xiong Z, Li A, Jacobs N, Vorobeychik Y. 2023. Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems. In: IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
  54. 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).
  55. 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).
  56. 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).
  57. 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).
  58. 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).
  59. 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).
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. Xing X, Peng C, Zhang Y, Lin A-L, Jacobs N. 2022. AssocFormer: Association Transformer for Multi-label Classification. In: British Machine Vision Conference (BMVC).
  65. 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.
  66. 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).
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. 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).
  74. 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.
  75. 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).
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. 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).
  84. 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.
  85. 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.
  86. 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.
  87. 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.
  88. 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).
  89. 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).
  90. 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.
  91. 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.
  92. 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.
  93. 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.
  94. 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).
  95. 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).
  96. 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.
  97. 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.
  98. 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.
  99. 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.
  100. 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.
  101. 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.
  102. 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.
  103. 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.
  104. 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.
  105. 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.
  106. 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.
  107. 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.
  108. 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.
  109. 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.
  110. 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).
  111. 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).
  112. Zhu J, Nolte AM, Jacobs N, Ye M. 2019. Incorporating Machine Learning with LiDAR for Delineating Sinkholes. In: Kentucky Water Resources Annual Symposium.
  113. 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.
  114. 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.
  115. 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.
  116. 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.
  117. 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.
  118. 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.
  119. 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.
  120. 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.
  121. 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.
  122. 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.
  123. 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).
  124. 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.
  125. 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.
  126. Liang G, Wang X, Jacobs N. 2018. Evaluating the Publicly Available Mammography Datasets for Deep Learning Model Training. In: SBI/ACR Breast Imaging Symposium.
  127. 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.
  128. 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.
  129. Jones D, Jacobs N, Ellingson S. 2018. Learning Deep Feature Representations for Kinase Polypharmacology. In: ACM Richard Tapia Celebration of Diversity in Computing Conference.
  130. 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.
  131. 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.
  132. 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.
  133. 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.
  134. 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.
  135. 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.
  136. 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.
  137. 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.
  138. 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.
  139. 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.
  140. 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.
  141. Jacobs N, Workman S, Zhai M. 2016. Crossview Convolutional Networks. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2016.8010593.
  142. 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.
  143. Bessinger Z, Jacobs N. 2016. Quantifying Curb Appeal. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7533189.
  144. 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).
  145. 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.
  146. 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.
  147. 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.
  148. 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.
  149. 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):1–14. DOI: 10.1186/s13640-015-0070-9.
  150. 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.
  151. 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.
  152. 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.
  153. 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.
  154. 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.
  155. 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.
  156. 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.
  157. 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.
  158. 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.
  159. 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.
  160. 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.
  161. 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.
  162. 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.
  163. Smith JD, Baltenberger R, Workman S, Jacobs N. 2014. User-in-the-Loop Calibration and Mensuration. In: National Conference on Undergraduate Research (NCUR).
  164. 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.
  165. 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.
  166. 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.
  167. 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.
  168. 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.
  169. 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.
  170. 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.
  171. Islam MT, Jacobs N, Wu H, Souvenir R. 2013. Images+Weather: Collection, Validation, and Refinement. In: IEEE CVPR Workshop on Ground Truth. 1–7.
  172. 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.
  173. 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.
  174. 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].
  175. 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.
  176. 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.
  177. 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.
  178. 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.
  179. 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.
  180. Wang P, Bhattacharyya S, White D, Jacobs N. 2011. Visualization of Kentucky Lake. In: Kentucky EPSCoR Conference.
  181. 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.
  182. 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.
  183. 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.
  184. Jacobs N. 2010. Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams. Computer Science and Engineering, Washington University in St. Louis, MO, USA.
  185. 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.
  186. 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.
  187. 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.
  188. 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.
  189. 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.
  190. 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.
  191. 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.
  192. 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.
  193. 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.
  194. 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.
  195. 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.
  196. 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.
  197. 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.
  198. 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.
  199. 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.
  200. 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.
  201. 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.
  202. 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.
  203. 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.
  204. 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.