Shawn D. Newsam

128 papers A* 6A 7B 7C 3Journal 49Unranked 44
YearRankTypeTitle / Venue / Authors
2026 J jnl
EDRP: Enhanced Dynamic Relay Point Protocol for Data Dissemination in Multi-hop Wireless IoT Networks.
CoRR
Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Luis Fujarte, Shawn D. Newsam, Jianlin Guo, Toshiaki Koike-Akino, Pu Wang, Kieran Parsons, Philip V. Orlik, Takenori Sumi, Yukimasa Nagai, Miguel Á. Carreira-Perpiñán, Alberto E. Cerpa
2025 — ed.
Proceedings of the 8th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2025, The Graduate Hotel Minneapolis, Minneapolis, MN, USA, November 3-6, 2025
GeoAI@SIGSPATIAL
Shawn D. Newsam, Lexie Yang, Song Gao, Di Zhu
2024 J jnl
A five-year milestone: reflections on advances and limitations in GeoAI research.
Ann. GIS
Yingjie Hu, Michael F. Goodchild, A-Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton D. Lunga, Shawn D. Newsam
2024 — conf
CATSE: A Context-Aware Framework for Causal Target Sound Extraction.
EUSIPCO
Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam
2024 J jnl
CATSE: A Context-Aware Framework for Causal Target Sound Extraction.
CoRR
Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam
2024 — conf
Leveraging Large Multimodal Models to Augment Image-Based Building Damage Assessment.
GeoAI@SIGSPATIAL
Sravan Jayati, Eric Choi, Henry Burton, Shawn D. Newsam
2024 — conf
McRTSE: Multi-channel Reverberant Target Sound Extraction.
EUSIPCO
Shrishail Baligar, Shawn D. Newsam
2024 — ed.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024
GeoAI@SIGSPATIAL
Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2024 J jnl
Report of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2024).
ACM SIGSPATIAL Special
Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2023 A conf
Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning.
WACV
Yuxin Tian, Shawn D. Newsam, Kofi Boakye
2023 — conf
Plane Segmentation in Outdoor Imagery: Unsupervised Training Using Synthetic Data.
GeoAI@SIGSPATIAL
Haolin Liang, Shawn D. Newsam
2023 — ed.
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023
GeoAI@SIGSPATIAL
Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao
2023 J jnl
The effect of soundscape composition on bird vocalization classification in a citizen science biodiversity monitoring project.
Ecol. Informatics
Matthew L. Clark, Leonardo Salas, Shrishail Baligar, Colin A. Quinn, Rose L. Snyder, David Leland, Wendy S. Schackwitz, Scott J. Goetz, Shawn D. Newsam
2022 — conf
Benchmarking Object Detection Models with Mummy Nuts Datasets.
Bench
Darren Ng, Colin Schmierer, Andrew Lin, Zeyu Liu, Falin Yu, Shawn D. Newsam, Reza Ehsani, Xiaoyi Lu
2022 — conf
CoSSD - An end-to-end framework for multi-instance source separation and detection.
EUSIPCO
Shrishail Baligar, Shawn D. Newsam
2022 J jnl
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization.
CoRR
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
2022 — conf
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization.
ECCV (34)
Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang
2022 J jnl
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
CoRR
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng
2022 J jnl
Image Search with Text Feedback by Additive Attention Compositional Learning.
CoRR
Yuxin Tian, Shawn D. Newsam, Kofi Boakye
2022 J jnl
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Philipe A. Dias, Yuxin Tian, Shawn D. Newsam, Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga
2022 A* conf
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night.
CVPR
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
2022 J jnl
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night.
CoRR
Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam
2022 — ed.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022, Seattle, Washington, 1 November 2022
GeoAI@SIGSPATIAL
Dalton D. Lunga, Shawn D. Newsam
2022 J jnl
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022).
ACM SIGSPATIAL Special
Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai
2021 C conf
A Robust Framework to Estimate the Spatial Resolution of Overhead Images Using Off-the-Shelf Object Detectors.
IGARSS
Haolin Liang, Shawn D. Newsam
2021 J jnl
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation.
CoRR
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2021 — conf
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling.
GIScience (I)
Xueqing Deng, Yuxin Tian, Shawn D. Newsam
2021 J jnl
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research.
ACM SIGSPATIAL Special
Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng
2021 — ed.
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021
GeoAI@SIGSPATIAL
Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam
2021 A conf
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery.
WACV
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2020 J jnl
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
Ralf Hartmut Güting, Lars Kulik, Shawn D. Newsam, Farnoush Banaei Kashani, Goce Trajcevski
2020 A conf
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features.
WACV
Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam
2020 — ed.
SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020
SIGSPATIAL/GIS
Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong
2020 J jnl
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery.
CoRR
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2020 J jnl
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
Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong
2019 B conf
Estimating The Spatial Resolution of Overhead Imagery Using Convolutional Neural Networks.
ICIP
Haolin Liang, Shawn D. Newsam
2019 — conf
Estimating the Spatial Resolution of Very High-Resolution Overhead Imagery.
GeoAI@SIGSPATIAL
Haolin Liang, Shawn D. Newsam
2019 J jnl
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images.
IEEE Trans. Multim.
Yi Zhu, Xueqing Deng, Shawn D. Newsam
2019 J jnl
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling.
CoRR
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam
2019 J jnl
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
Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019 J jnl
GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions.
ACM SIGSPATIAL Special
Yingjie Hu, Song Gao, Dalton D. Lunga, Wenwen Li, Shawn D. Newsam, Budhendra Bhaduri
2019 A* conf
Improving Semantic Segmentation via Video Propagation and Label Relaxation.
CVPR
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2019 A conf
Motion-Aware Feature for Improved Video Anomaly Detection.
BMVC
Yi Zhu, Shawn D. Newsam
2019 J jnl
Motion-Aware Feature for Improved Video Anomaly Detection.
CoRR
Yi Zhu, Shawn D. Newsam
2019 — ed.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2019, Chicago, IL, USA, November 5-8, 2019.
SIGSPATIAL/GIS
Farnoush Banaei Kashani, Goce Trajcevski, Ralf Hartmut Güting, Lars Kulik, Shawn D. Newsam
2019 — ed.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019.
GeoAI@SIGSPATIAL
Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019 J jnl
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery.
CoRR
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 — conf
Dimensionality Estimation of Protein Dynamics Using Polymer Models.
BCB
Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam
2018 J jnl
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images.
CoRR
Yi Zhu, Xueqing Deng, Shawn D. Newsam
2018 — conf
Gated Transfer Network for Transfer Learning.
ACCV (4)
Yi Zhu, Jia Xue, Shawn D. Newsam
2018 J jnl
Gated Transfer Network for Transfer Learning.
CoRR
Yi Zhu, Jia Xue, Shawn D. Newsam
2018 J jnl
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
Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga
2018 — conf
Hidden Two-Stream Convolutional Networks for Action Recognition.
ACCV (3)
Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
2018 J jnl
Improving Semantic Segmentation via Video Propagation and Label Relaxation.
CoRR
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2018 B conf
Learning Optical Flow via Dilated Networks and Occlusion Reasoning.
ICIP
Yi Zhu, Shawn D. Newsam
2018 J jnl
Learning Optical Flow via Dilated Networks and Occlusion Reasoning.
CoRR
Yi Zhu, Shawn D. Newsam
2018 — ed.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAIi@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018
GeoAI@SIGSPATIAL
Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga
2018 — conf
Random Temporal Skipping for Multirate Video Analysis.
ACCV (3)
Yi Zhu, Shawn D. Newsam
2018 J jnl
Random Temporal Skipping for Multirate Video Analysis.
CoRR
Yi Zhu, Shawn D. Newsam
2018 J jnl
Spatial Morphing Kernel Regression For Feature Interpolation.
CoRR
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 B conf
Spatial Morphing Kernel Regression for Feature Interpolation.
ICIP
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 A* conf
Towards Universal Representation for Unseen Action Recognition.
CVPR
Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao
2018 J jnl
Towards Universal Representation for Unseen Action Recognition.
CoRR
Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao
2018 J jnl
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks.
CoRR
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2018 — conf
What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks.
SIGSPATIAL/GIS
Xueqing Deng, Yi Zhu, Shawn D. Newsam
2017 — conf
Deep Local Video Feature for Action Recognition.
CVPR Workshops
Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam
2017 J jnl
DenseNet for Dense Flow.
CoRR
Yi Zhu, Shawn D. Newsam
2017 B conf
DenseNet for dense flow.
ICIP
Yi Zhu, Shawn D. Newsam
2017 A conf
Efficient Action Detection in Untrimmed Videos via Multi-task Learning.
WACV
Yi Zhu, Shawn D. Newsam
2017 J jnl
Guided Optical Flow Learning.
CoRR
Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
2017 J jnl
Hidden Two-Stream Convolutional Networks for Action Recognition.
CoRR
Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann
2017 J jnl
Large-Scale Human Activity Mapping using Geo-Tagged Videos.
CoRR
Yi Zhu, Sen Liu, Shawn D. Newsam
2017 — conf
Large-Scale Mapping of Human Activity using Geo-Tagged Videos.
SIGSPATIAL/GIS
Yi Zhu, Sen Liu, Shawn D. Newsam
2017 J jnl
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval.
Remote. Sens.
Weixun Zhou, Shawn D. Newsam, Congmin Li, Zhenfeng Shao
2017 J jnl
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval.
CoRR
Weixun Zhou, Shawn D. Newsam, Congmin Li, Zhenfeng Shao
2017 — ed.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2017, Redondo Beach, CA, USA, November 7-10, 2017
SIGSPATIAL/GIS
Erik G. Hoel, Shawn D. Newsam, Siva Ravada, Roberto Tamassia, Goce Trajcevski
2017 — conf
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use.
UrbanGIS@SIGSPATIAL
Xueqing Deng, Shawn D. Newsam
2017 J jnl
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use.
CoRR
Xueqing Deng, Shawn D. Newsam
2017 J jnl
UC Merced Submission to the ActivityNet Challenge 2016.
CoRR
Yi Zhu, Shawn D. Newsam, Zaikun Xu
2016 — conf
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition.
ECCV Workshops (1)
Yi Zhu, Shawn D. Newsam
2016 J jnl
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition.
CoRR
Yi Zhu, Shawn D. Newsam
2016 J jnl
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning.
CoRR
Yi Zhu, Shawn D. Newsam
2016 J jnl
Land Use Classification using Convolutional Neural Networks Applied to Ground-Level Images.
CoRR
Yi Zhu, Shawn D. Newsam
2016 — conf
Large-scale geolocalization of overhead imagery.
SIGSPATIAL/GIS
Mehul Divecha, Shawn D. Newsam
2016 — ed.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31 - November 3, 2016
SIGSPATIAL/GIS
Siva Ravada, Mohammed Eunus Ali, Shawn D. Newsam, Matthias Renz, Goce Trajcevski
2016 J jnl
Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos.
CoRR
Yi Zhu, Shawn D. Newsam
2016 — conf
Spatio-temporal sentiment hotspot detection using geotagged photos.
SIGSPATIAL/GIS
Yi Zhu, Shawn D. Newsam
2015 J jnl
Land cover classification using geo-referenced photos.
Multim. Tools Appl.
Daniel Leung, Shawn D. Newsam
2015 — conf
Land use classification using convolutional neural networks applied to ground-level images.
SIGSPATIAL/GIS
Yi Zhu, Shawn D. Newsam
2014 J jnl
Camera-based visibility estimation: Incorporating multiple regions and unlabeled observations.
Ecol. Informatics
Nathan Graves, Shawn D. Newsam
2014 B conf
Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration.
ICPR
Yi Yang, Shawn D. Newsam
2013 J jnl
Geographic Image Retrieval Using Local Invariant Features.
IEEE Trans. Geosci. Remote. Sens.
Yi Yang, Shawn D. Newsam
2013 J jnl
LBSN 2012 workshop report: the Fifth ACM SIGSPATIAL International Workshop on Location-Based Social Networks (Redondo Beach, California - November 6, 2012).
ACM SIGSPATIAL Special
Gabriel Ghinita, Jennifer Neville, Shawn D. Newsam
2012 — conf
Can off-the-shelf object detectors be used to extract geographic information from geo-referenced social multimedia?
LBSN@GIS
Daniel Leung, Shawn D. Newsam
2012 A conf
Estimating the spatial extents of geospatial objects using hierarchical models.
WACV
Yi Yang, Shawn D. Newsam
2012 — conf
Exploring Geotagged images for land-use classification.
GeoMM@ACM Multimedia
Daniel Leung, Shawn D. Newsam
2012 — ed.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2012, Redondo Beach, California, USA, November 6, 2012
LBSN@GIS
Gabriel Ghinita, Jennifer Neville, Shawn D. Newsam
2012 — conf
Visibility cameras: where and how to look.
MAED@ACM Multimedia
Nathan Graves, Shawn D. Newsam
2011 — conf
PedSeg: GPS tracks as priors for overhead image segmentation.
GIS
Shawn D. Newsam, Brent Edmunds, Andrew Pierce
2011 A* conf
Spatial pyramid co-occurrence for image classification.
ICCV
Yi Yang, Shawn D. Newsam
2011 A conf
Using visibility cameras to estimate atmospheric light extinction.
WACV
Nathan Graves, Shawn D. Newsam
2011 J jnl
Validating Clustering of Molecular Dynamics Simulations Using Polymer Models.
BMC Bioinform.
Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam
2010 — conf
Bag-of-visual-words and spatial extensions for land-use classification.
GIS
Yi Yang, Shawn D. Newsam
2010 — conf
CBGIR: content-based geographic image retrieval.
GIS
Shawn D. Newsam, Daniel Leung, Oscar Caballero, Justin Floreza, Jesus Pulido
2010 A* conf
Proximate sensing: Inferring what-is-where from georeferenced photo collections.
CVPR
Daniel Leung, Shawn D. Newsam
2010 B conf
Semi-supervised regression with temporal image sequences.
ICIP
Ling Xie, Miguel Á. Carreira-Perpiñán, Shawn D. Newsam
2009 — conf
Proximate sensing using georeferenced community contributed photo collections.
GIS-LBSN
Daniel Leung, Shawn D. Newsam
2008 B conf
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery.
ICIP
Yi Yang, Shawn D. Newsam
2008 — conf
Estimating Atmospheric Visibility Using General-Purpose Cameras.
ISVC (2)
Ling Xie, Alex Chiu, Shawn D. Newsam
2008 — conf
Integrating gazetteers and remote sensed imagery.
GIS
Shawn D. Newsam, Yi Yang
2007 — conf
Collaboratory: An Open Source Teaching and Learning Facility for Computer Science and Engineering Education.
FECS
Jeff Wright, Stefano Carpin, Alberto Cerpa, German Gavilan, Marcelo Kallmann, Cameron Laird, Kyler Laird, Shawn D. Newsam, David Noelle
2007 — conf
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery.
GIS
Shawn D. Newsam, Yang Yang
2007 — conf
Geographic Image Retrieval Using Interest Point Descriptors.
ISVC (2)
Shawn D. Newsam, Yang Yang
2007 C conf
Hierarchical texture motifs.
IPAS
Shawn D. Newsam
2007 — conf
Using transmission electron microscopy to quantify the spatial distribution of nanoparticles suspended in a film.
Computational Imaging
Shawn D. Newsam, Eric Pernice, Jacek Jasinski, Valerie Leppert
2006 C conf
Comparing shape and texture features for pattern recognition in simulation data.
Image Processing: Algorithms and Systems
Shawn D. Newsam, Chandrika Kamath
2005 — conf
Salient points for tracking moving objects in video.
Electronic Imaging: Image and Video Communications and Processing
Chandrika Kamath, Abel Gezahegne, Shawn D. Newsam, George Marlon Roberts
2005 — conf
Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW.
MDM/KDD
Shawn D. Newsam
2004 A* conf
Feature selection in scientific applications.
KDD
Erick Cantú-Paz, Shawn D. Newsam, Chandrika Kamath
2004 — conf
Issues in managing image and video data.
Storage and Retrieval Methods and Applications for Multimedia
Shawn D. Newsam, Jelena Tesic, Lei Wang, B. S. Manjunath
2004 — conf
Normalized Texture Motifs and Their Application to Statistical Object Modeling.
CVPR Workshops
Shawn D. Newsam, B. S. Manjunath
2004 — conf
Retrieval using texture features in high-resolution multispectral satellite imagery.
Data Mining and Knowledge Discovery: Theory, Tools, and Technology
Shawn D. Newsam, Chandrika Kamath
2003 — conf
Object localization using texture motifs and Markov random fields.
ICIP (2)
Shawn D. Newsam, Sitaram Bhagavathy, B. S. Manjunath
2002 — conf
Modeling Object Classes in Aerial Images Using Texture Motifs.
ICPR (2)
Sitaram Bhagavathy, Shawn D. Newsam, B. S. Manjunath
2002 — conf
Modeling object classes in aerial images using hidden Markov models.
ICIP (1)
Shawn D. Newsam, Sitaram Bhagavathy, B. S. Manjunath
2002 — conf
Scalable spatial event representation.
ICME (2)
Jelena Tesic, Shawn D. Newsam, B. S. Manjunath
2001 — conf
Category-based image retrieval.
ICIP (3)
Shawn D. Newsam, Baris Sumengen, B. S. Manjunath
2000 J jnl
A texture descriptor for browsing and similarity retrieval.
Signal Process. Image Commun.
Peng Wu, B. S. Manjunath, Shawn D. Newsam, H. D. Shin