A texture descriptor for browsing and similarity retrieval. - Peng Wu 005; B. S. Manjunath; Shawn D. Newsam; H. D. Shin (Signal Process. Image Commun., 2000)

Category-based image retrieval. - Shawn D. Newsam; Baris Sumengen; B. S. Manjunath (ICIP (3), 2001)

Modeling object classes in aerial images using hidden Markov models. - Shawn D. Newsam; Sitaram Bhagavathy; B. S. Manjunath (ICIP (1), 2002)

Scalable spatial event representation. - Jelena Tesic; Shawn D. Newsam; B. S. Manjunath (ICME (2), 2002)

Modeling Object Classes in Aerial Images Using Texture Motifs. - Sitaram Bhagavathy; Shawn D. Newsam; B. S. Manjunath (ICPR (2), 2002)

Object localization using texture motifs and Markov random fields. - Shawn D. Newsam; Sitaram Bhagavathy; B. S. Manjunath (ICIP (2), 2003)

Normalized Texture Motifs and Their Application to Statistical Object Modeling. - Shawn D. Newsam; B. S. Manjunath (CVPR Workshops, 2004)

Retrieval using texture features in high-resolution multispectral satellite imagery. - Shawn D. Newsam; Chandrika Kamath 001 (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Feature selection in scientific applications. - Erick Cantú-Paz; Shawn D. Newsam; Chandrika Kamath 001 (KDD, 2004)

Issues in managing image and video data. - Shawn D. Newsam; Jelena Tesic; Lei Wang; B. S. Manjunath (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Salient points for tracking moving objects in video. - Chandrika Kamath 001; Abel Gezahegne; Shawn D. Newsam; George Marlon Roberts (Electronic Imaging: Image and Video Communications and Processing, 2005)

Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW. - Shawn D. Newsam (MDM@KDD, 2005)

Comparing shape and texture features for pattern recognition in simulation data. - Shawn D. Newsam; Chandrika Kamath 001 (Image Processing: Algorithms and Systems, 2006)

Using transmission electron microscopy to quantify the spatial distribution of nanoparticles suspended in a film. - Shawn D. Newsam; Eric Pernice; Jacek Jasinski; Valerie Leppert (Computational Imaging, 2007)

Collaboratory: An Open Source Teaching and Learning Facility for Computer Science and Engineering Education. - Jeff Wright; Stefano Carpin; Alberto Cerpa; German Gavilan; Marcelo Kallmann; Cameron Laird; Kyler Laird; Shawn D. Newsam; David Noelle (FECS, 2007)

Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery. - Shawn D. Newsam; Yang Yang 039 (GIS, 2007)

Hierarchical texture motifs. - Shawn D. Newsam (IPAS, 2007)

Geographic Image Retrieval Using Interest Point Descriptors. - Shawn D. Newsam; Yang Yang 039 (ISVC (2), 2007)

Integrating gazetteers and remote sensed imagery. - Shawn D. Newsam; Yi Yang 016 (GIS, 2008)

Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery. - Yi Yang 016; Shawn D. Newsam (ICIP, 2008)

Estimating Atmospheric Visibility Using General-Purpose Cameras. - Ling Xie; Alex Chiu; Shawn D. Newsam (ISVC (2), 2008)

Proximate sensing using georeferenced community contributed photo collections. - Daniel Leung; Shawn D. Newsam (GIS-LBSN, 2009)

Proximate sensing: Inferring what-is-where from georeferenced photo collections. - Daniel Leung; Shawn D. Newsam (CVPR, 2010)

CBGIR: content-based geographic image retrieval. - Shawn D. Newsam; Daniel Leung; Oscar Caballero; Justin Floreza; Jesus Pulido (GIS, 2010)

Bag-of-visual-words and spatial extensions for land-use classification. - Yi Yang 016; Shawn D. Newsam (GIS, 2010)

Semi-supervised regression with temporal image sequences. - Ling Xie; Miguel Á. Carreira-Perpiñán; Shawn D. Newsam (ICIP, 2010)

PedSeg: GPS tracks as priors for overhead image segmentation. - Shawn D. Newsam; Brent Edmunds; Andrew Pierce (GIS, 2011)

Spatial pyramid co-occurrence for image classification. - Yi Yang 016; Shawn D. Newsam (ICCV, 2011)

Using visibility cameras to estimate atmospheric light extinction. - Nathan Graves; Shawn D. Newsam (WACV, 2011)

Validating Clustering of Molecular Dynamics Simulations Using Polymer Models. - Joshua L. Phillips; Michael E. Colvin; Shawn D. Newsam (BMC Bioinform., 2011)

Can off-the-shelf object detectors be used to extract geographic information from geo-referenced social multimedia? - Daniel Leung; Shawn D. Newsam (LBSN@GIS, 2012)

Visibility cameras: where and how to look. - Nathan Graves; Shawn D. Newsam (MAED@ACM Multimedia, 2012)

Exploring Geotagged images for land-use classification. - Daniel Leung; Shawn D. Newsam (GeoMM@ACM Multimedia, 2012)

Estimating the spatial extents of geospatial objects using hierarchical models. - Yi Yang 016; Shawn D. Newsam (WACV, 2012)

LBSN 2012 workshop report: the Fifth ACM SIGSPATIAL International Workshop on Location-Based Social Networks (Redondo Beach, California - November 6, 2012). - Gabriel Ghinita; Jennifer Neville; Shawn D. Newsam (ACM SIGSPATIAL Special, 2013)

Geographic Image Retrieval Using Local Invariant Features. - Yi Yang 016; Shawn D. Newsam (IEEE Trans. Geosci. Remote. Sens., 2013)

Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration. - Yi Yang 016; Shawn D. Newsam (ICPR, 2014)

Camera-based visibility estimation: Incorporating multiple regions and unlabeled observations. - Nathan Graves; Shawn D. Newsam (Ecol. Informatics, 2014)

Land use classification using convolutional neural networks applied to ground-level images. - Yi Zhu 001; Shawn D. Newsam (SIGSPATIAL/GIS, 2015)

Land cover classification using geo-referenced photos. - Daniel Leung; Shawn D. Newsam (Multim. Tools Appl., 2015)

Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. - Yi Zhu 001; Shawn D. Newsam (ECCV Workshops (1), 2016)

Large-scale geolocalization of overhead imagery. - Mehul Divecha; Shawn D. Newsam (SIGSPATIAL/GIS, 2016)

Spatio-temporal sentiment hotspot detection using geotagged photos. - Yi Zhu 001; Shawn D. Newsam (SIGSPATIAL/GIS, 2016)

Deep Local Video Feature for Action Recognition. - Zhen-Zhong Lan; Yi Zhu 001; Alexander G. Hauptmann; Shawn D. Newsam (CVPR Workshops, 2017)

Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. - Xueqing Deng; Shawn D. Newsam (UrbanGIS@SIGSPATIAL, 2017)

Large-Scale Mapping of Human Activity using Geo-Tagged Videos. - Yi Zhu 001; Sen Liu; Shawn D. Newsam (SIGSPATIAL/GIS, 2017)

DenseNet for dense flow. - Yi Zhu 001; Shawn D. Newsam (ICIP, 2017)

Efficient Action Detection in Untrimmed Videos via Multi-task Learning. - Yi Zhu 001; Shawn D. Newsam (WACV, 2017)

PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval. - Weixun Zhou; Shawn D. Newsam; Congmin Li; Zhenfeng Shao (CoRR, 2017)

Large-Scale Human Activity Mapping using Geo-Tagged Videos. - Yi Zhu 001; Sen Liu; Shawn D. Newsam (CoRR, 2017)

Guided Optical Flow Learning. - Yi Zhu 001; Zhen-Zhong Lan; Shawn D. Newsam; Alexander G. Hauptmann (CoRR, 2017)

UC Merced Submission to the ActivityNet Challenge 2016. - Yi Zhu 001; Shawn D. Newsam; Zaikun Xu (CoRR, 2017)

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval. - Weixun Zhou; Shawn D. Newsam; Congmin Li; Zhenfeng Shao (Remote. Sens., 2017)

Hidden Two-Stream Convolutional Networks for Action Recognition. - Yi Zhu 001; Zhen-Zhong Lan; Shawn D. Newsam; Alexander G. Hauptmann (ACCV (3), 2018)

Random Temporal Skipping for Multirate Video Analysis. - Yi Zhu 001; Shawn D. Newsam (ACCV (3), 2018)

Gated Transfer Network for Transfer Learning. - Yi Zhu 001; Jia Xue; Shawn D. Newsam (ACCV (4), 2018)

Dimensionality Estimation of Protein Dynamics Using Polymer Models. - Joshua L. Phillips; Michael E. Colvin; Shawn D. Newsam (BCB, 2018)

Towards Universal Representation for Unseen Action Recognition. - Yi Zhu 001; Yang Long 001; Yu Guan; Shawn D. Newsam; Ling Shao 001 (CVPR, 2018)

What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks. - Xueqing Deng; Yi Zhu 001; Shawn D. Newsam (SIGSPATIAL/GIS, 2018)

Spatial Morphing Kernel Regression for Feature Interpolation. - Xueqing Deng; Yi Zhu 001; Shawn D. Newsam (ICIP, 2018)

Learning Optical Flow via Dilated Networks and Occlusion Reasoning. - Yi Zhu 001; Shawn D. Newsam (ICIP, 2018)

GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018. - Yingjie Hu; Song Gao 001; Shawn D. Newsam; Dalton D. Lunga (ACM SIGSPATIAL Special, 2018)

Motion-Aware Feature for Improved Video Anomaly Detection. - Yi Zhu 001; Shawn D. Newsam (BMVC, 2019)

Improving Semantic Segmentation via Video Propagation and Label Relaxation. - Yi Zhu 001; Karan Sapra; Fitsum A. Reda; Kevin J. Shih; Shawn D. Newsam; Andrew Tao; Bryan Catanzaro (CVPR, 2019)

Estimating the Spatial Resolution of Very High-Resolution Overhead Imagery. - Haolin Liang; Shawn D. Newsam (GeoAI@SIGSPATIAL, 2019)

Estimating The Spatial Resolution of Overhead Imagery Using Convolutional Neural Networks. - Haolin Liang; Shawn D. Newsam (ICIP, 2019)

Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery. - Xueqing Deng; Yi Zhu 001; Shawn D. Newsam (CoRR, 2019)

Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. - Xueqing Deng; Yi Zhu 001; Yuxin Tian; Shawn D. Newsam (CoRR, 2019)

GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. - Song Gao 001; Shawn D. Newsam; Liang Zhao 002; Dalton D. Lunga; Yingjie Hu; Bruno Martins 001; Xun Zhou 001; Feng Chen 001 (ACM SIGSPATIAL Special, 2019)

GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. - Yingjie Hu; Song Gao 001; Dalton D. Lunga; Wenwen Li 002; Shawn D. Newsam; Budhendra Bhaduri (ACM SIGSPATIAL Special, 2019)

Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. - Yi Zhu 001; Xueqing Deng; Shawn D. Newsam (IEEE Trans. Multim., 2019)

Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. - Yuxin Tian; Xueqing Deng; Yi Zhu 001; Shawn D. Newsam (WACV, 2020)

Conference report: The 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019): Chicago, Illinois, USA, November 5-8, 2019. - Ralf Hartmut Güting; Lars Kulik; Shawn D. Newsam; Farnoush Banaei Kashani; Goce Trajcevski (ACM SIGSPATIAL Special, 2020)

The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report. - Chang-Tien Lu; Fusheng Wang 001; Goce Trajcevski; Yan Huang 002; Shawn D. Newsam; Li Xiong 001 (ACM SIGSPATIAL Special, 2020)

Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. - Xueqing Deng; Yuxin Tian; Shawn D. Newsam (GIScience (I), 2021)

A Robust Framework to Estimate the Spatial Resolution of Overhead Images Using Off-the-Shelf Object Detectors. - Haolin Liang; Shawn D. Newsam (IGARSS, 2021)

Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. - Xueqing Deng; Yi Zhu 001; Yuxin Tian; Shawn D. Newsam (WACV, 2021)

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation. - Xueqing Deng; Yi Zhu 001; Yuxin Tian; Shawn D. Newsam (CoRR, 2021)

GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. - Dalton D. Lunga; Yingjie Hu; Shawn D. Newsam; Song Gao 001; Bruno Martins 001; Hsiu-Han Lexie Yang; Xueqing Deng (ACM SIGSPATIAL Special, 2021)

Benchmarking Object Detection Models with Mummy Nuts Datasets. - Darren Ng; Colin Schmierer; Andrew Lin; Zeyu Liu; Falin Yu; Shawn D. Newsam; Reza Ehsani; Xiaoyi Lu (Bench, 2022)

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. - Xueqing Deng; Peng Wang; Xiaochen Lian; Shawn D. Newsam (CVPR, 2022)

DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization. - Xueqing Deng; Dawei Sun; Shawn D. Newsam; Peng Wang (ECCV (34), 2022)

CoSSD - An end-to-end framework for multi-instance source separation and detection. - Shrishail Baligar; Shawn D. Newsam (EUSIPCO, 2022)

Image Search with Text Feedback by Additive Attention Compositional Learning. - Yuxin Tian; Shawn D. Newsam; Kofi Boakye (CoRR, 2022)

Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. - Philipe A. Dias; Yuxin Tian; Shawn D. Newsam; Aristeidis Tsaris; Jacob D. Hinkle; Dalton D. Lunga (IEEE Trans. Geosci. Remote. Sens., 2022)

Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). - Bruno Martins 001; Dalton D. Lunga; Song Gao 001; Shawn D. Newsam; Lexie Yang; Xueqing Deng; Gengchen Mai (ACM SIGSPATIAL Special, 2022)

Plane Segmentation in Outdoor Imagery: Unsupervised Training Using Synthetic Data. - Haolin Liang; Shawn D. Newsam (GeoAI@SIGSPATIAL, 2023)

Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning. - Yuxin Tian; Shawn D. Newsam; Kofi Boakye (WACV, 2023)

The effect of soundscape composition on bird vocalization classification in a citizen science biodiversity monitoring project. - Matthew L. Clark; Leonardo Salas; Shrishail Baligar; Colin A. Quinn; Rose L. Snyder; David Leland; Wendy S. Schackwitz; Scott J. Goetz; Shawn D. Newsam (Ecol. Informatics, 2023)

CATSE: A Context-Aware Framework for Causal Target Sound Extraction. - Shrishail Baligar; Mikolaj Kegler; Bryce Irvin; Marko Stamenovic; Shawn D. Newsam (EUSIPCO, 2024)

McRTSE: Multi-channel Reverberant Target Sound Extraction. - Shrishail Baligar; Shawn D. Newsam (EUSIPCO, 2024)

Leveraging Large Multimodal Models to Augment Image-Based Building Damage Assessment. - Sravan Jayati; Eric Choi; Henry Burton; Shawn D. Newsam (GeoAI@SIGSPATIAL, 2024)

Report of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2024). - Song Gao 001; Gengchen Mai; Shawn D. Newsam; Lexie Yang; Dalton D. Lunga; Di Zhu 004; Bruno Martins 001; Samantha T. Arundel (ACM SIGSPATIAL Special, 2024)

A five-year milestone: reflections on advances and limitations in GeoAI research. - Yingjie Hu; Michael F. Goodchild; A-Xing Zhu; May Yuan; Orhun Aydin; Budhendra Bhaduri; Song Gao 001; Wenwen Li 002; Dalton D. Lunga; Shawn D. Newsam (Ann. GIS, 2024)