Publications

A comprehensive collection of our research contributions in computer vision and multimodal learning. Also see Google Scholar, DBLP, and Semantic Scholar.

Preprints

  1. Thumbnail for StereoGenBench: A Synthetic Multi-Camera Benchmark for Stereo Generation under Controlled Baseline Regimes
    Cui Y, Qiao F, Jacobs N. 2026. StereoGenBench: A Synthetic Multi-Camera Benchmark for Stereo Generation under Controlled Baseline Regimes.
  2. Thumbnail for The first global agricultural field boundary map at 10m resolution
    Robinson C, Muhawenayo G, Khanal S, Fang Z, Corley I, Tárano AM, Estes L, Marcus J, Jacobs N, Kerner H, Becker-Reshef I, Ferres JML. 2026. The first global agricultural field boundary map at 10m resolution.
  3. Thumbnail for PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment
    Xiong Z, Song Y, He L, Xiong W, Yuan Y, Qiao F, Jacobs N. 2026. PhysAlign: Physics-Coherent Image-to-Video Generation through Feature and 3D Representation Alignment. 2603.13770.
  4. Thumbnail for MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale
    Corley I, Rao A, Rolf E, Klemmer K, Shelhamer E, Lehmann N, Rußwurm M, Mai G, Jacobs N, Kerner H. 2026. MIND the Gap: A Geographic Implicit Neural Representation with Adjustable Spatial Scale.
  5. Thumbnail for Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks
    Qiao F, An Z, Xiong Z, Belongie S, Jacobs N. 2026. Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks.
  6. Thumbnail for Generative AI for SAR-to-Optical Image Translation: A Systematic Literature Review (2021–2025)
    Dove T, Xie Z, Tang M, Ye X, Jacobs N, Liang G. 2025. Generative AI for SAR-to-Optical Image Translation: A Systematic Literature Review (2021–2025). DOI: 10.36227/techrxiv.176287415.57044116/v1.

Publications

  1. Iqbal H, Cher D, Xing E, Kolouju P, Stylianou A, Pless R, Jacobs N. 2027. GeoDIVE: Geospatial Descent Informed by Value Estimation. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
  2. Thumbnail for GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning
    Luo Y, Qiao F, Xiong Z, Li Y, Jacobs N. 2027. GenOpticalFlow: A Generative Approach to Unsupervised Optical Flow Learning. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
  3. Thumbnail for ActWorld: From Explorable to Interactive World Model via Action-Aware Memory
    Xiong Z, Song Y, Kang H, Yan Q, Jiang L, Yang J, Fu Z, Fotiadis S, Wang A, Liu Z, Liu B, Yang Y, Lu X, Jacobs N. 2026. ActWorld: From Explorable to Interactive World Model via Action-Aware Memory. In: Neural Information Processing Systems (NeurIPS).
  4. Thumbnail for Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis
    Khanal S, Cui Y, Cher D, Xing E, Wei B, Sastry S, Jacobs N. 2026. Genesis: A Generative Engine for Hierarchical Satellite Image Synthesis. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL). DOI: 10.1145/3841645.3843313.
  5. Thumbnail for Attention-Enhanced Multimodal Fusion of Elevation and Aerial Imagery for Sinkhole Segmentation
    Zhu J, Cunningham D, Jacobs N. 2026. Attention-Enhanced Multimodal Fusion of Elevation and Aerial Imagery for Sinkhole Segmentation. In: Hutchinson P, Kromhout C, Barry J, LaSala B eds. Proceedings of the 18th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst. NCKRI Symposium 10. National Cave and Karst Research Institute, DOI: 10.5038/9781967518012.
  6. Thumbnail for Assessing deep learning segmentation models for mapping landslides from lidar-based elevation data
    Koch HJ, Zhu J, Bhatt S, Jacobs N, Dortch JM. 2026. Assessing deep learning segmentation models for mapping landslides from lidar-based elevation data. DOI: 10.1029/2025EA004937.
  7. Thumbnail for TerraDiT-Ω: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive
    Wei B, Sastry S, Cher D, Xing E, Jacobs N. 2026. TerraDiT-Ω: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive. In: European Conference on Computer Vision (ECCV).
  8. Thumbnail for TerraDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis
    Sastry S, Cher D, Wei B, Dhakal A, Khanal S, Gupta D, Jacobs N. 2026. TerraDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis. In: TerraBytes — Towards global datasets and models for Earth observation (European Conference on Computer Vision (ECCV) Workshop).
  9. Thumbnail for Tesselating The Earth
    Cher D, Iqbal H, Xing E, Wei B, Jacobs N. 2026. Tesselating The Earth. In: European Conference on Computer Vision (ECCV).
  10. Thumbnail for UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving
    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. In: European Conference on Computer Vision (ECCV).
  11. Thumbnail for Trajectory-aware Cross-view Geo-Localization with Sequential Observations
    Gao T, Lin J, Beaulieu D, Jacobs N. 2026. Trajectory-aware Cross-view Geo-Localization with Sequential Observations. In: European Conference on Computer Vision (ECCV).
  12. Thumbnail for Efficient hierarchical search for scalable retrieval in global remote sensing imagery
    Cher D, Kolouju P, Xing E, Pless R, Stylianou A, Jacobs N. 2026. Efficient hierarchical search for scalable retrieval in global remote sensing imagery. In: IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
  13. Thumbnail for ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
    Sastry S, Khanal S, Dhakal A, Lin J, Cher D, Jarosz P, Jacobs N. 2026. ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  14. Thumbnail for Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping
    Khanal S, Sastry S, Dhakal A, Ahmad A, Jacobs N. 2026. Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION).
  15. Thumbnail for Beyond Flat Labels: Level-Restricted Contrastive Learning for Hierarchical Fine-Grained Vision Classification
    Tao Z, Sastry S, Thompson M, Campolongo E, Zhang N, Zhang Z, Lapp H, Su Y, Berger-Wolf T, Jacobs N, Chao W-L, Gu J. 2026. Beyond Flat Labels: Level-Restricted Contrastive Learning for Hierarchical Fine-Grained Vision Classification. In: Fine-Grained Visual Categorization (FGVC) (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop).
  16. Thumbnail for SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images
    Dhakal A, Khanal S, Sastry S, Arndt J, Dias PA, Lunga D, Jacobs N. 2026. SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  17. Thumbnail for PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
    Muhawenayo G, Robinson C, Khanal S, Fang Z, Corley I, Wollam A, Gao T, Strnad L, Avery R, Estes L, Tárano AM, Jacobs N, Kerner H. 2026. PRUE: A Practical Recipe for Field Boundary Segmentation at Scale. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  18. 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. 2026. MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas. In: Omnidirectional Computer Vision Workshop (OmniCV) (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop).
  19. Thumbnail for DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments
    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).
  20. Thumbnail for deadtrees.earth Maps: Tree Mortality and Disturbance Mapping from Sentinel-2 Timeseries Across The Globe
    Mosig C, Kattenborn T, Vanja-Jehle J, Montero D, Brandt J, Bozzini A, Cheng Y, Esquivel Muelbert A, Ganz K, Gora E, Grüning BA, Jacobs N, Hartmann H, Hempel J, Horion S, Junttila S, Khanal S, Korznikov K, Kraemer G, McGregor I, Mönks M, Muller-Landau H, Nardi D, Neumeier P, Schmid J, Schwartz M, Beloui Schwenke M, Soltani S, Therese-Schmehl M, Veitch-Michaelis J, Xing E, Mahecha MD. 2026. deadtrees.earth Maps: Tree Mortality and Disturbance Mapping from Sentinel-2 Timeseries Across The Globe. In: EGU General Assembly 2026. Vienna, Austria: Copernicus Meetings, DOI: 10.5194/egusphere-egu26-18072.
  21. Thumbnail for Towards Unconstrained Cross-View Pose Estimation
    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).
  22. 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).
  23. Thumbnail for GroundingBooth: Grounding Text-to-Image Customization
    Xiong Z, Xiong W, Shi J, Zhang H, Song Y, Jacobs N. 2026. GroundingBooth: Grounding Text-to-Image Customization. Transactions on Machine Learning Research (TMLR) 2409.08520.
  24. Thumbnail for Canopy height mapping in the Western Himalayas, Pakistan: A deep learning approach using GEDI and Sentinel-2 fusion
    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.
  25. Thumbnail for Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
    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).
  26. Favarão Leão AL, Wang Y, Banda B, Balogun M, Xing E, Gudapati S, Rios-Hernandez M, Jacobs N, Siqueira Reis R. 2026. Exploring Spatial Inequities and Livability: A mixed-methods study using artificial intelligence and community insights. Journal of Urban Health.
  27. Thumbnail for Earth Embeddings: Toward artificial intelligence-centric representations of our planet
    Klemmer K, Rolf E, Rußwurm M, Camps-Valls G, Czerkawski M, Ermon S, Francis A, Jacobs N, Kerner H, Mackey L, Mai G, Aodha OM, Reichstein M, Robinson C, Rolnick D, Shelhamer E, Sitzmann V, Tuia D, Zhu X. 2026. Earth Embeddings: Toward artificial intelligence-centric representations of our planet. IEEE Geoscience and Remote Sensing Magazine:2–15. DOI: 10.1109/MGRS.2026.3710416.
  28. Thumbnail for Sub-pixel mapping of disturbance and tree mortality dynamics from Sentinel-2 time series around the globe
    Mosig C, Kattenborn T, Montero Loaiza D, Vanja-Jehle J, Brandt J, Jacobs N, Khanal S, Xing E, Schwartz M, Muller-Landau HC, Beloiu M, Bozzini A, Cheng Y, Ganz K, Grüning B, Hartmann H, Hempel J, Horion S, Junttila S, Korznikov K, Kraemer G, Mönks M, Nardi D, Neumeier P, Schmid J, Soltani S, Therese-Schmehl M, Veitch-Michaelis J, Mahecha M. 2026. Sub-pixel mapping of disturbance and tree mortality dynamics from Sentinel-2 time series around the globe. Eartharxiv. DOI: 10.31223/X5B18W.
  29. Thumbnail for Enhancing Estimation of Daily 1-km Resolution Fine Particulate Matter Concentrations for North America with Deep Learning from Geophysical A Priori Information
    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. DOI: 10.1021/acsestair.5c00251.
  30. Thumbnail for QuARI: Query Adaptive Retrieval Improvement
    Xing E, Stylianou A, Pless R, Jacobs N. 2025. QuARI: Query Adaptive Retrieval Improvement. In: Neural Information Processing Systems (NeurIPS).
  31. Thumbnail for Mapping Post-Fire Polygonal Ice Wedge Degradation in Arctic Tundra Using High Resolution Satellite Imagery and Computer Learning
    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.
  32. 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.
  33. Thumbnail for Global Field Boundary Delineation Model Zoo and Tooling
    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.
  34. 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/CVF International Conference on Computer Vision (ICCV) Workshops).
  35. 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/CVF International Conference on Computer Vision (ICCV).
  36. 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/CVF International Conference on Computer Vision (ICCV).
  37. Thumbnail for PanoDreamer: Consistent Text to 360 Scene Generation
    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).
  38. 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).
  39. Thumbnail for good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval
    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).
  40. Thumbnail for DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal
    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).
  41. 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).
  42. 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).
  43. 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).
  44. 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.
  45. 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/CVF Winter Conference on Applications of Computer Vision (WACV).
  46. 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).
  47. Thumbnail for Active Geospatial Search for Efficient Tenant Eviction Outreach
    Sarkar A, DiChristofano A, Das S, Fowler PJ, Jacobs N, Vorobeychik Y. 2025. Active Geospatial Search for Efficient Tenant Eviction Outreach. In: AAAI Conference on Artificial Intelligence (AAAI). 28340–28348.
  48. Thumbnail for Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning
    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.
  49. Thumbnail for Semisupervised Learning for Detecting Inverse Compton Emission in Galaxy Clusters
    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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. Thumbnail for Interactive Event Sifting using Bayesian Graph Neural Networks
    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).
  56. 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).
  57. 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.
  58. 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).
  59. Thumbnail for Prompt-guided and multimodal landscape scenicness assessments with vision-language models
    Levering A, Marcos D, Jacobs N, Tuia D. 2024. Prompt-guided and multimodal landscape scenicness assessments with vision-language models. PLOS ONE.
  60. 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.
  61. Thumbnail for GeoBind: Binding text, image, and audio through satellite images
    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).
  62. 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).
  63. Thumbnail for Vision-Language Pseudo-Labels for Single-Positive Multi-Label Learning
    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.
  64. Thumbnail for GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis
    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).
  65. Thumbnail for Sat2Cap: Mapping Fine-Grained Textual Descriptions from Satellite Images
    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).
  66. 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).
  67. Thumbnail for Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning
    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.
  68. 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/CVF Winter Conference on Applications of Computer Vision (WACV).
  69. 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/CVF Winter Conference on Applications of Computer Vision (WACV).
  70. Thumbnail for ArcGeo: Localizing Limited Field-of-View Images using Cross-view Matching
    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).
  71. Thumbnail for A Visual Active Search Framework for Geospatial Exploration
    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/CVF Winter Conference on Applications of Computer Vision (WACV).
  72. 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).
  73. Thumbnail for StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation
    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).
  74. Thumbnail for Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
    Khanal S, Sastry S, Dhakal A, Jacobs N. 2023. Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping. In: British Machine Vision Conference (BMVC).
  75. Thumbnail for Unveiling Roadway Hazards: Enhancing Fatal Crash Risk Estimation through Multi-Scale Satellite Imagery and Self-Supervised Cross-Matching
    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.
  76. Thumbnail for Eroding Trust In Aerial Imagery: Comprehensive Analysis and Evaluation Of Adversarial Attacks In Geospatial Systems
    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).
  77. 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).
  78. Thumbnail for Self-Supervised Learning Application on COVID-19 Chest X-ray Image Classification Using Masked AutoEncoder
    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.
  79. 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).
  80. 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).
  81. Thumbnail for Fine-grained Property Value Assessment Using Probabilistic Disaggregation
    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).
  82. 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).
  83. 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).
  84. Thumbnail for Efficient Training on Alzheimer’s Disease Diagnosis with Learnable Weighted Pooling for 3D PET Brain Image Classification
    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.
  85. Thumbnail for Geoinformation Harvesting From Social Media Data: A community remote
                sensing approach
    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.
  86. 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.
  87. Thumbnail for AssocFormer: Association Transformer for Multi-label Classification
    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).
  88. Thumbnail for Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity
    Xing E, Liu L, Xing X, Qu Y, Jacobs N, 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.
  89. Thumbnail for Causality for Inherently Explainable Transformers: CAT-XPLAIN
    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).
  90. 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.
  91. Thumbnail for Estimating Cluster Masses from SDSS Multi-band Images with Transfer Learning
    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.
  92. 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.
  93. Thumbnail for Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set
    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.
  94. Thumbnail for ADViT: VISION TRANSFORMER ON MULTI-MODALITY PET IMAGES
                FOR ALZHEIMER DISEASE DIAGNOSIS
    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.
  95. 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.
  96. Thumbnail for Automatic Segmentation of Sinkholes Using a Convolutional Neural Network
    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.
  97. Thumbnail for Alzheimer’s Disease Classification Using Genetic Data
    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).
  98. 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).
  99. 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.
  100. Thumbnail for Alzheimer’s Disease Classification Using 2D Convolutional Neural Networks
    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.
  101. Thumbnail for Multi-Modal Data Analysis for Alzheimer’s Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features
    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.
  102. Thumbnail for Intensity Harmonization for Airborne LiDAR
    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.
  103. Thumbnail for Hierarchical Probabilistic Embeddings for Multi-View Image Classification
    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.
  104. Thumbnail for Towards a Collective Agenda on AI for Earth Science Data Analysis
    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.
  105. 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.
  106. Thumbnail for Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest
    Maretto RV, Fonseca LMG, Jacobs N, Körting TS, Bendini HN, Parente LL. 2021. Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geoscience and Remote Sensing Letters 18:771–775. DOI: 10.1109/LGRS.2020.2986407.
  107. Thumbnail for Multi-Branch Attention Networks for Classifying Galaxy Clusters
    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.
  108. 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).
  109. Thumbnail for Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate
    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.
  110. Thumbnail for Machine Learning in Identifying Karst Sinkholes from LiDAR-Derived Topographic Depressions in the Bluegrass Region of Kentucky
    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.
  111. Thumbnail for A deep learning view of the census of galaxy clusters in IllustrisTNG
    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.
  112. 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).
  113. 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).
  114. Thumbnail for Extending Absolute Pose Regression to Multiple Scenes
    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.
  115. Thumbnail for Dynamic Image for 3D MRI Image Alzheimer’s Disease Classification
    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).
  116. Thumbnail for Beta-amyloid and tau drive early Alzheimer’s disease decline while glucose hypometabolism drives late decline
    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.
  117. Thumbnail for Neural Network Calibration for Medical Imaging Classification Using DCA Regularization
    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).
  118. Thumbnail for Surface Modeling for Airborne LiDAR
    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.
  119. Thumbnail for Estimating Displaced Populations from Overhead
    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.
  120. Thumbnail for Single Image Cloud Detection via Multi-Image Fusion
    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.
  121. Thumbnail for Weakly-Supervised Self-Training for Breast Cancer Localization
    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.
  122. 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.
  123. 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.
  124. Thumbnail for Inconsistent Performance of Deep Learning Models on Mammogram Classification
    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.
  125. Thumbnail for RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
    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.
  126. 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).
  127. Thumbnail for 2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification
    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.
  128. Thumbnail for Joint 2D-3D Breast Cancer Classification
    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.
  129. 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).
  130. Thumbnail for Implicit Land Use Mapping Using Social Media Imagery
    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.
  131. 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.
  132. Thumbnail for Weakly Supervised Building Segmentation from Aerial Images
    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.
  133. Thumbnail for Learning to Map Nearly Anything
    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.
  134. 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.
  135. Thumbnail for Motion and Appearance based Background Subtraction for Freely Moving Cameras
    Sajid H, Cheung S-CS, Jacobs N. 2019. Motion and Appearance based Background Subtraction for Freely Moving Cameras. Signal Processing: Image Communication 75:11–21. DOI: 10.1016/j.image.2019.03.003.
  136. 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.
  137. Thumbnail for Weakly Supervised Fusion of Multiple Overhead Images
    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.
  138. 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.
  139. Thumbnail for Defense-PointNet: Protecting PointNet Against Adversarial Attacks
    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.
  140. 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.
  141. Thumbnail for Automatic Hand Skeletal Shape Estimation from Radiographs
    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.
  142. Zhu J, Nolte AM, Jacobs N, Ye M. 2019. Incorporating Machine Learning with LiDAR for Delineating Sinkholes. In: Kentucky Water Resources Annual Symposium.
  143. Thumbnail for A Generative Model of Worldwide Facial Appearance
    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.
  144. 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.
  145. 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.
  146. 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).
  147. 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.
  148. Jones D, Jacobs N, Ellingson S. 2018. Learning Deep Feature Representations for Kinase Polypharmacology. In: ACM Richard Tapia Celebration of Diversity in Computing Conference.
  149. Thumbnail for Classification of whole mammogram and tomosynthesis images using deep convolutional neural networks
    Zhang X, Zhang Y, Han EY, 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.
  150. Thumbnail for What Goes Where: Predicting Object Distributions from Above
    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.
  151. 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.
  152. Liang G, Wang X, Jacobs N. 2018. Evaluating the Publicly Available Mammography Datasets for Deep Learning Model Training. In: SBI/ACR Breast Imaging Symposium.
  153. 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.
  154. 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.
  155. Thumbnail for Whole Mammogram Image Classification With Convolutional Neural Networks
    Zhang X, Zhang Y, Han EY, 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.
  156. 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.
  157. Thumbnail for Revisiting IM2GPS in the Deep Learning Era
    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.
  158. 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.
  159. 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.
  160. 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.
  161. Thumbnail for Who Goes There? Approaches to Mapping Facial Appearance Diversity
    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.
  162. Thumbnail for Crossview Convolutional Networks
    Jacobs N, Workman S, Zhai M. 2016. Crossview Convolutional Networks. In: IEEE Applied Imagery and Pattern Recognition (AIPR). DOI: 10.1109/AIPR.2016.8010593.
  163. Thumbnail for Quantifying Curb Appeal
    Bessinger Z, Jacobs N. 2016. Quantifying Curb Appeal. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7533189.
  164. 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).
  165. Thumbnail for Camera Geo-Calibration using an MCMC Approach
    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.
  166. 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.
  167. Thumbnail for Appearance based Background Subtraction for PTZ Cameras
    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.
  168. 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.
  169. Thumbnail for Analyzing Human Appearance as a Cue for Dating Images
    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.
  170. Thumbnail for Sky Segmentation in the Wild: An Empirical Study
    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.
  171. Thumbnail for A Fast Method for Estimating Transient Scene Properties
    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.
  172. 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.
  173. 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.
  174. Thumbnail for Face2GPS: Estimating Geographic Location from Facial Features
    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.
  175. Thumbnail for DeepFocal: A Method for Direct Focal Length Estimation
    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.
  176. 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.
  177. Thumbnail for On the Location Dependence of Convolutional Neural Network Features
    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.
  178. 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.
  179. 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.
  180. Thumbnail for GeoFaceExplorer: Exploring the Geo-Dependence of Facial Attributes
    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.
  181. 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.
  182. 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.
  183. Thumbnail for Covariance-Based PCA for Multi-Size Data
    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.
  184. Thumbnail for Received Signal Strength Indication Signature for Passive UHF Tags
    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.
  185. Smith JD, Baltenberger R, Workman S, Jacobs N. 2014. User-in-the-Loop Calibration and Mensuration. In: National Conference on Undergraduate Research (NCUR).
  186. Thumbnail for Exploring the Geo-Dependence of Human Face Appearance
    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.
  187. Thumbnail for A CRF Approach to Fitting a Generalized Hand Skeleton Model
    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.
  188. 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.
  189. 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.
  190. 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.
  191. Thumbnail for Two Cloud-Based Cues for Estimating Scene Structure and Camera Calibration
    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.
  192. 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.
  193. 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.
  194. Thumbnail for Images+Weather: Collection, Validation, and Refinement
    Islam MT, Jacobs N, Wu H, Souvenir R. 2013. Images+Weather: Collection, Validation, and Refinement. In: IEEE CVPR Workshop on Ground Truth. 1–7.
  195. 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.
  196. Thumbnail for Shadow Estimation Method for
    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].
  197. Thumbnail for Webcam2Satellite: Estimating Cloud Maps from Webcam Imagery
    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.
  198. 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.
  199. 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.
  200. Thumbnail for Real Time Gesture Recognition With 2 Kinect Sensors
    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.
  201. 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.
  202. 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.
  203. Wang P, Bhattacharyya S, White D, Jacobs N. 2011. Visualization of Kentucky Lake. In: Kentucky EPSCoR Conference.
  204. 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.
  205. Thumbnail for Webcam Geo-localization using Aggregate Light Levels
    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.
  206. Thumbnail for Participatory Integration of Live Webcams into GIS
    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.
  207. 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.
  208. Thumbnail for Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams
    Jacobs N. 2010. Discovering, Localizing, Calibrating, and Using Thousands of Outdoor Webcams. Computer Science and Engineering, Washington University in St. Louis, MO, USA.
  209. Thumbnail for Compressive Sensing and Differential Image Motion Estimation
    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.
  210. 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.
  211. Thumbnail for Persistence and Tracking: Putting Vehicles and Trajectories in Context
    Pless R, Dixon M, Jacobs N, Baker P, Cassimatis NL, Brock D, Hartley R, 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.
  212. Thumbnail for Passive Vision: The Global Webcam Imaging Network
    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.
  213. Thumbnail for Efficient Tracking of Many Objects in Structured Environments
    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.
  214. Thumbnail for Calibrating and Using the Global Network of Outdoor Webcams
    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.
  215. Thumbnail for An Efficient System for Vehicle Tracking in Multi-Camera Networks
    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.
  216. Thumbnail for On Unusual Pixel Shapes and Image Motion
    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.
  217. Thumbnail for Adventures in Archiving and Using Three Years of Webcam Images
    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.
  218. Thumbnail for Time Scales in Video Surveillance
    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.
  219. Thumbnail for Location-specific Transition Distributions for Tracking
    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.
  220. Thumbnail for Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras
    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.
  221. 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.
  222. 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.
  223. Thumbnail for Shape Background Modeling: The Shape of Things That Came
    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.
  224. Thumbnail for Real-time Constant Memory Visual Summaries for Surveillance
    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.
  225. Thumbnail for Finding Minimal Parameterizations of Cylindrical Image Manifolds
    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.
  226. Thumbnail for Pie Charts for Visualizing Query Term Frequency in Search Results
    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). Lecture Notes in Computer Science. Springer, 440–451. DOI: 10.1007/3-540-36227-4_52.
  227. 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).