Shawn D. Newsam

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 71

Top Venues

CoRR

ACM SIGSPATIAL Special

SIGSPATIAL/GIS

ICIP

Publications

Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam
CATSE: A Context-Aware Framework for Causal Target Sound Extraction. CoRR (2024)
Yingjie Hu, Michael F. Goodchild, A-Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton D. Lunga, Shawn D. Newsam
A five-year milestone: reflections on advances and limitations in GeoAI research. Ann. GIS 30 (1) (2024)
Matthew L. Clark, Leonardo Salas, Shrishail Baligar, Colin A. Quinn, Rose L. Snyder, David Leland, Wendy S. Schackwitz, Scott J. Goetz, Shawn D. Newsam
The effect of soundscape composition on bird vocalization classification in a citizen science biodiversity monitoring project. Ecol. Informatics 75 (2023)
Haolin Liang, Shawn D. Newsam
Plane Segmentation in Outdoor Imagery: Unsupervised Training Using Synthetic Data. GeoAI@SIGSPATIAL (2023)
Yuxin Tian, Shawn D. Newsam, Kofi Boakye
Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning. WACV (2023)
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization. CoRR (2022)
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CVPR (2022)
Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). ACM SIGSPATIAL Special 14 (1) (2022)
Yuxin Tian, Shawn D. Newsam, Kofi Boakye
Image Search with Text Feedback by Additive Attention Compositional Learning. CoRR (2022)
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization. ECCV (34) (2022)
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CoRR (2022)
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. CoRR (2022)
Darren Ng, Colin Schmierer, Andrew Lin, Zeyu Liu, Falin Yu, Shawn D. Newsam, Reza Ehsani, Xiaoyi Lu
Benchmarking Object Detection Models with Mummy Nuts Datasets. Bench (2022)
Philipe A. Dias, Yuxin Tian, Shawn D. Newsam, Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13 (3) (2021)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. WACV (2021)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation. CoRR (2021)
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13 (2021)
Haolin Liang, Shawn D. Newsam
A Robust Framework to Estimate the Spatial Resolution of Overhead Images Using Off-the-Shelf Object Detectors. IGARSS (2021)
Xueqing Deng, Yuxin Tian, Shawn D. Newsam
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. GIScience (I) (2021)
Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. WACV (2020)
Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong
The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report. ACM SIGSPATIAL Special 12 (3) (2020)
Ralf Hartmut Güting, Lars Kulik, Shawn D. Newsam, Farnoush Banaei Kashani, Goce Trajcevski
Conference report: The 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019): Chicago, Illinois, USA, November 5-8, 2019. ACM SIGSPATIAL Special 12 (1) (2020)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. CoRR (2020)
Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. ACM SIGSPATIAL Special 11 (3) (2019)
Yi Zhu, Shawn D. Newsam
Motion-Aware Feature for Improved Video Anomaly Detection. CoRR (2019)
Yingjie Hu, Song Gao, Dalton D. Lunga, Wenwen Li, Shawn D. Newsam, Budhendra Bhaduri
GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. ACM SIGSPATIAL Special 11 (2) (2019)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery. CoRR (2019)
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
Improving Semantic Segmentation via Video Propagation and Label Relaxation. CVPR (2019)
Yi Zhu, Shawn D. Newsam
Motion-Aware Feature for Improved Video Anomaly Detection. BMVC (2019)
Yi Zhu, Xueqing Deng, Shawn D. Newsam
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. IEEE Trans. Multim. 21 (7) (2019)
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. CoRR (2019)
Haolin Liang, Shawn D. Newsam
Estimating the Spatial Resolution of Very High-Resolution Overhead Imagery. GeoAI@SIGSPATIAL (2019)
Haolin Liang, Shawn D. Newsam
Estimating The Spatial Resolution of Overhead Imagery Using Convolutional Neural Networks. ICIP (2019)
Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam
Dimensionality Estimation of Protein Dynamics Using Polymer Models. BCB (2018)
Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga
GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018. ACM SIGSPATIAL Special 10 (3) (2018)
Yi Zhu, Shawn D. Newsam
Learning Optical Flow via Dilated Networks and Occlusion Reasoning. ICIP (2018)
Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
Hidden Two-Stream Convolutional Networks for Action Recognition. ACCV (3) (2018)
Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao
Towards Universal Representation for Unseen Action Recognition. CoRR (2018)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
Spatial Morphing Kernel Regression For Feature Interpolation. CoRR (2018)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks. SIGSPATIAL/GIS (2018)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks. CoRR (2018)
Yi Zhu, Shawn D. Newsam
Random Temporal Skipping for Multirate Video Analysis. ACCV (3) (2018)
Yi Zhu, Jia Xue, Shawn D. Newsam
Gated Transfer Network for Transfer Learning. CoRR (2018)
Yi Zhu, Xueqing Deng, Shawn D. Newsam
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. CoRR (2018)
Yi Zhu, Shawn D. Newsam
Random Temporal Skipping for Multirate Video Analysis. CoRR (2018)
Yi Zhu, Jia Xue, Shawn D. Newsam
Gated Transfer Network for Transfer Learning. ACCV (4) (2018)
Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao
Towards Universal Representation for Unseen Action Recognition. CVPR (2018)
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
Improving Semantic Segmentation via Video Propagation and Label Relaxation. CoRR (2018)
Yi Zhu, Shawn D. Newsam
Learning Optical Flow via Dilated Networks and Occlusion Reasoning. CoRR (2018)
Xueqing Deng, Yi Zhu, Shawn D. Newsam
Spatial Morphing Kernel Regression for Feature Interpolation. ICIP (2018)
Yi Zhu, Shawn D. Newsam
DenseNet for Dense Flow. CoRR (2017)
Weixun Zhou, Shawn D. Newsam, Congmin Li, Zhenfeng Shao
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval. CoRR (2017)
Yi Zhu, Shawn D. Newsam
Efficient Action Detection in Untrimmed Videos via Multi-task Learning. WACV (2017)
Yi Zhu, Sen Liu, Shawn D. Newsam
Large-Scale Human Activity Mapping using Geo-Tagged Videos. CoRR (2017)
Yi Zhu, Shawn D. Newsam
DenseNet for dense flow. ICIP (2017)
Xueqing Deng, Shawn D. Newsam
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. CoRR (2017)
Yi Zhu, Sen Liu, Shawn D. Newsam
Large-Scale Mapping of Human Activity using Geo-Tagged Videos. SIGSPATIAL/GIS (2017)
Yi Zhu, Shawn D. Newsam, Zaikun Xu
UC Merced Submission to the ActivityNet Challenge 2016. CoRR (2017)
Weixun Zhou, Shawn D. Newsam, Congmin Li, Zhenfeng Shao
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval. Remote. Sens. 9 (5) (2017)
Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
Hidden Two-Stream Convolutional Networks for Action Recognition. CoRR (2017)
Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
Guided Optical Flow Learning. CoRR (2017)
Xueqing Deng, Shawn D. Newsam
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. UrbanGIS@SIGSPATIAL (2017)
Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam
Deep Local Video Feature for Action Recognition. CVPR Workshops (2017)
Yi Zhu, Shawn D. Newsam
Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos. CoRR (2016)
Yi Zhu, Shawn D. Newsam
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning. CoRR (2016)
Yi Zhu, Shawn D. Newsam
Land Use Classification using Convolutional Neural Networks Applied to Ground-Level Images. CoRR (2016)
Yi Zhu, Shawn D. Newsam
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. CoRR (2016)
Yi Zhu, Shawn D. Newsam
Spatio-temporal sentiment hotspot detection using geotagged photos. SIGSPATIAL/GIS (2016)
Mehul Divecha, Shawn D. Newsam
Large-scale geolocalization of overhead imagery. SIGSPATIAL/GIS (2016)
Yi Zhu, Shawn D. Newsam
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. ECCV Workshops (1) (2016)
Daniel Leung, Shawn D. Newsam
Land cover classification using geo-referenced photos. Multim. Tools Appl. 74 (24) (2015)
Yi Zhu, Shawn D. Newsam
Land use classification using convolutional neural networks applied to ground-level images. SIGSPATIAL/GIS (2015)
Nathan Graves, Shawn D. Newsam
Camera-based visibility estimation: Incorporating multiple regions and unlabeled observations. Ecol. Informatics 23 (2014)
Yi Yang, Shawn D. Newsam
Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration. ICPR (2014)
Yi Yang, Shawn D. Newsam
Geographic Image Retrieval Using Local Invariant Features. IEEE Trans. Geosci. Remote. Sens. 51 (2) (2013)
Gabriel Ghinita, Jennifer Neville, Shawn D. Newsam
LBSN 2012 workshop report: the Fifth ACM SIGSPATIAL International Workshop on Location-Based Social Networks (Redondo Beach, California - November 6, 2012). ACM SIGSPATIAL Special 5 (1) (2013)
Daniel Leung, Shawn D. Newsam
Exploring Geotagged images for land-use classification. GeoMM@ACM Multimedia (2012)
Daniel Leung, Shawn D. Newsam
Can off-the-shelf object detectors be used to extract geographic information from geo-referenced social multimedia? LBSN@GIS (2012)
Nathan Graves, Shawn D. Newsam
Visibility cameras: where and how to look. MAED@ACM Multimedia (2012)
Yi Yang, Shawn D. Newsam
Estimating the spatial extents of geospatial objects using hierarchical models. WACV (2012)
Nathan Graves, Shawn D. Newsam
Using visibility cameras to estimate atmospheric light extinction. WACV (2011)
Shawn D. Newsam, Brent Edmunds, Andrew Pierce
PedSeg: GPS tracks as priors for overhead image segmentation. GIS (2011)
Yi Yang, Shawn D. Newsam
Spatial pyramid co-occurrence for image classification. ICCV (2011)
Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam
Validating Clustering of Molecular Dynamics Simulations Using Polymer Models. BMC Bioinform. 12 (2011)
Shawn D. Newsam, Daniel Leung, Oscar Caballero, Justin Floreza, Jesus Pulido
CBGIR: content-based geographic image retrieval. GIS (2010)
Daniel Leung, Shawn D. Newsam
Proximate sensing: Inferring what-is-where from georeferenced photo collections. CVPR (2010)
Yi Yang, Shawn D. Newsam
Bag-of-visual-words and spatial extensions for land-use classification. GIS (2010)
Ling Xie, Miguel Á. Carreira-Perpiñán, Shawn D. Newsam
Semi-supervised regression with temporal image sequences. ICIP (2010)
Daniel Leung, Shawn D. Newsam
Proximate sensing using georeferenced community contributed photo collections. GIS-LBSN (2009)
Ling Xie, Alex Chiu, Shawn D. Newsam
Estimating Atmospheric Visibility Using General-Purpose Cameras. ISVC (2) (2008)
Yi Yang, Shawn D. Newsam
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery. ICIP (2008)
Shawn D. Newsam, Yi Yang
Integrating gazetteers and remote sensed imagery. GIS (2008)
Shawn D. Newsam, Yang Yang
Geographic Image Retrieval Using Interest Point Descriptors. ISVC (2) (2007)
Jeff Wright, Stefano Carpin, Alberto Cerpa, German Gavilan, Marcelo Kallmann, Cameron Laird, Kyler Laird, Shawn D. Newsam, David Noelle
Collaboratory: An Open Source Teaching and Learning Facility for Computer Science and Engineering Education. FECS (2007)
Shawn D. Newsam
Hierarchical texture motifs. IPAS (2007)
Shawn D. Newsam, Yang Yang
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery. GIS (2007)
Shawn D. Newsam, Eric Pernice, Jacek Jasinski, Valerie Leppert
Using transmission electron microscopy to quantify the spatial distribution of nanoparticles suspended in a film. Computational Imaging (2007)
Shawn D. Newsam, Chandrika Kamath
Comparing shape and texture features for pattern recognition in simulation data. Image Processing: Algorithms and Systems (2006)
Chandrika Kamath, Abel Gezahegne, Shawn D. Newsam, George Marlon Roberts
Salient points for tracking moving objects in video. Electronic Imaging: Image and Video Communications and Processing (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shawn D. Newsam