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ORCIDShawn D. Newsam
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- affiliation: University of California, School of Engineering, Merced, CA, USA
- affiliation: Lawrence Livermore National Laboratory, USA
- affiliation: University of California at Santa Barbara, Department of Electrical & Compututer Engineering
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2020 – today
- 2024
[j18]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): 1-14 (2024)- [c66]Shrishail Baligar, Shawn D. Newsam:
McRTSE: Multi-channel Reverberant Target Sound Extraction. EUSIPCO 2024: 6-10 - [c65]Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam:
CATSE: A Context-Aware Framework for Causal Target Sound Extraction. EUSIPCO 2024: 401-405 - [i29]Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam:
CATSE: A Context-Aware Framework for Causal Target Sound Extraction. CoRR abs/2403.14246 (2024) - 2023
- [j17]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: 102065 (2023) - [c64]Haolin Liang, Shawn D. Newsam:
Plane Segmentation in Outdoor Imagery: Unsupervised Training Using Synthetic Data. GeoAI@SIGSPATIAL 2023: 95-101 - [c63]Yuxin Tian, Shawn D. Newsam, Kofi Boakye:
Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning. WACV 2023: 1011-1021 - [e10]Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - 2022
- [j16]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): 23-25 (2022) - [j15]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: 1-18 (2022) - [c62]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: 102-119 - [c61]Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam:
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CVPR 2022: 16917-16927 - [c60]Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang:
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization. ECCV (34) 2022: 218-235 - [c59]Shrishail Baligar, Shawn D. Newsam:
CoSSD - An end-to-end framework for multi-instance source separation and detection. EUSIPCO 2022: 150-154 - [e9]Dalton D. Lunga, Shawn D. Newsam:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9532-8 [contents] - [i28]Yuxin Tian, Shawn D. Newsam, Kofi Boakye:
Image Search with Text Feedback by Additive Attention Compositional Learning. CoRR abs/2203.03809 (2022) - [i27]Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam:
NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. CoRR abs/2204.05538 (2022) - [i26]Xueqing Deng, Dawei Sun, Shawn D. Newsam, Peng Wang:
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization. CoRR abs/2204.05547 (2022) - [i25]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 abs/2210.13207 (2022) - 2021
- [j14]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): 21-32 (2021) - [c58]Xueqing Deng, Yuxin Tian, Shawn D. Newsam:
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. GIScience (I) 2021: 3:1-3:14 - [c57]Haolin Liang, Shawn D. Newsam:
A Robust Framework to Estimate the Spatial Resolution of Overhead Images Using Off-the-Shelf Object Detectors. IGARSS 2021: 8229-8232 - [c56]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. WACV 2021: 2159-2168 - [e8]Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam:
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021. ACM 2021, ISBN 978-1-4503-9120-7 [contents] - [i24]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation. CoRR abs/2106.13227 (2021) - 2020
- [j13]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): 3-5 (2020) - [j12]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): 3-6 (2020) - [c55]Yuxin Tian, Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features. WACV 2020: 2501-2509 - [e7]Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong:
SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, Seattle, WA, USA, November 3-6, 2020. ACM 2020, ISBN 978-1-4503-8019-5 [contents] - [i23]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery. CoRR abs/2012.04222 (2020)
2010 – 2019
- 2019
- [j11]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): 5-15 (2019) - [j10]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): 23-24 (2019) - [j9]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): 1825-1838 (2019) - [c54]Yi Zhu, Shawn D. Newsam:
Motion-Aware Feature for Improved Video Anomaly Detection. BMVC 2019: 270 - [c53]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: 8856-8865 - [c52]Haolin Liang, Shawn D. Newsam:
Estimating the Spatial Resolution of Very High-Resolution Overhead Imagery. GeoAI@SIGSPATIAL 2019: 77-80 - [c51]Haolin Liang, Shawn D. Newsam:
Estimating The Spatial Resolution of Overhead Imagery Using Convolutional Neural Networks. ICIP 2019: 370-374 - [e6]Farnoush Banaei Kashani, Goce Trajcevski, Ralf Hartmut Güting, Lars Kulik, Shawn D. Newsam:
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2019, Chicago, IL, USA, November 5-8, 2019. ACM 2019, ISBN 978-1-4503-6909-1 [contents] - [e5]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 [contents] - [i22]Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery. CoRR abs/1902.06923 (2019) - [i21]Yi Zhu, Shawn D. Newsam:
Motion-Aware Feature for Improved Video Anomaly Detection. CoRR abs/1907.10211 (2019) - [i20]Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn D. Newsam:
Generalizing Deep Models for Overhead Image Segmentation Through Getis-Ord Gi* Pooling. CoRR abs/1912.10667 (2019) - 2018
- [j8]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): 16 (2018) - [c50]Yi Zhu, Jia Xue, Shawn D. Newsam:
Gated Transfer Network for Transfer Learning. ACCV (4) 2018: 354-369 - [c49]Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann:
Hidden Two-Stream Convolutional Networks for Action Recognition. ACCV (3) 2018: 363-378 - [c48]Yi Zhu, Shawn D. Newsam:
Random Temporal Skipping for Multirate Video Analysis. ACCV (3) 2018: 542-557 - [c47]Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam:
Dimensionality Estimation of Protein Dynamics Using Polymer Models. BCB 2018: 675-680 - [c46]Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao:
Towards Universal Representation for Unseen Action Recognition. CVPR 2018: 9436-9445 - [c45]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: 43-52 - [c44]Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Spatial Morphing Kernel Regression for Feature Interpolation. ICIP 2018: 2182-2186 - [c43]Yi Zhu, Shawn D. Newsam:
Learning Optical Flow via Dilated Networks and Occlusion Reasoning. ICIP 2018: 3333-3337 - [e4]Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAIi@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6036-4 [contents] - [i19]Yi Zhu, Xueqing Deng, Shawn D. Newsam:
Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images. CoRR abs/1802.02668 (2018) - [i18]Xueqing Deng, Yi Zhu, Shawn D. Newsam:
Spatial Morphing Kernel Regression For Feature Interpolation. CoRR abs/1802.07452 (2018) - [i17]Yi Zhu, Yang Long, Yu Guan, Shawn D. Newsam, Ling Shao:
Towards Universal Representation for Unseen Action Recognition. CoRR abs/1803.08460 (2018) - [i16]Yi Zhu, Shawn D. Newsam:
Learning Optical Flow via Dilated Networks and Occlusion Reasoning. CoRR abs/1805.02733 (2018) - [i15]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 abs/1806.05129 (2018) - [i14]Yi Zhu, Jia Xue, Shawn D. Newsam:
Gated Transfer Network for Transfer Learning. CoRR abs/1810.12521 (2018) - [i13]Yi Zhu, Shawn D. Newsam:
Random Temporal Skipping for Multirate Video Analysis. CoRR abs/1810.12522 (2018) - [i12]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 abs/1812.01593 (2018) - 2017
- [j7]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): 489 (2017) - [c42]Zhen-Zhong Lan, Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam:
Deep Local Video Feature for Action Recognition. CVPR Workshops 2017: 1219-1225 - [c41]Xueqing Deng, Shawn D. Newsam:
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. UrbanGIS@SIGSPATIAL 2017: 4:1-4:8 - [c40]Yi Zhu, Sen Liu, Shawn D. Newsam:
Large-Scale Mapping of Human Activity using Geo-Tagged Videos. SIGSPATIAL/GIS 2017: 68:1-68:4 - [c39]Yi Zhu, Shawn D. Newsam:
DenseNet for dense flow. ICIP 2017: 790-794 - [c38]Yi Zhu, Shawn D. Newsam:
Efficient Action Detection in Untrimmed Videos via Multi-task Learning. WACV 2017: 197-206 - [e3]Erik G. Hoel, Shawn D. Newsam, Siva Ravada, Roberto Tamassia, Goce Trajcevski:
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2017, Redondo Beach, CA, USA, November 7-10, 2017. ACM 2017, ISBN 978-1-4503-5490-5 [contents] - [i11]Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann:
Guided Optical Flow Learning. CoRR abs/1702.02295 (2017) - [i10]Yi Zhu, Zhen-Zhong Lan, Shawn D. Newsam, Alexander G. Hauptmann:
Hidden Two-Stream Convolutional Networks for Action Recognition. CoRR abs/1704.00389 (2017) - [i9]Yi Zhu, Shawn D. Newsam, Zaikun Xu:
UC Merced Submission to the ActivityNet Challenge 2016. CoRR abs/1704.03503 (2017) - [i8]Weixun Zhou, Shawn D. Newsam, Congmin Li, Zhenfeng Shao:
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval. CoRR abs/1706.03424 (2017) - [i7]Yi Zhu, Sen Liu, Shawn D. Newsam:
Large-Scale Human Activity Mapping using Geo-Tagged Videos. CoRR abs/1706.07911 (2017) - [i6]Yi Zhu, Shawn D. Newsam:
DenseNet for Dense Flow. CoRR abs/1707.06316 (2017) - [i5]Xueqing Deng, Shawn D. Newsam:
Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use. CoRR abs/1711.03641 (2017) - 2016
- [c37]Yi Zhu, Shawn D. Newsam:
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. ECCV Workshops (1) 2016: 668-684 - [c36]Mehul Divecha, Shawn D. Newsam:
Large-scale geolocalization of overhead imagery. SIGSPATIAL/GIS 2016: 32:1-32:9 - [c35]Yi Zhu, Shawn D. Newsam:
Spatio-temporal sentiment hotspot detection using geotagged photos. SIGSPATIAL/GIS 2016: 76:1-76:4 - [e2]Siva Ravada, Mohammed Eunus Ali, Shawn D. Newsam, Matthias Renz, Goce Trajcevski:
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31 - November 3, 2016. ACM 2016, ISBN 978-1-4503-4589-7 [contents] - [i4]Yi Zhu, Shawn D. Newsam:
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition. CoRR abs/1608.04339 (2016) - [i3]Yi Zhu, Shawn D. Newsam:
Land Use Classification using Convolutional Neural Networks Applied to Ground-Level Images. CoRR abs/1609.06653 (2016) - [i2]Yi Zhu, Shawn D. Newsam:
Spatio-Temporal Sentiment Hotspot Detection Using Geotagged Photos. CoRR abs/1609.06772 (2016) - [i1]Yi Zhu, Shawn D. Newsam:
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning. CoRR abs/1612.07403 (2016) - 2015
- [j6]Daniel Leung, Shawn D. Newsam:
Land cover classification using geo-referenced photos. Multim. Tools Appl. 74(24): 11741-11761 (2015) - [c34]Yi Zhu, Shawn D. Newsam:
Land use classification using convolutional neural networks applied to ground-level images. SIGSPATIAL/GIS 2015: 61:1-61:4 - 2014
- [j5]Nathan Graves, Shawn D. Newsam:
Camera-based visibility estimation: Incorporating multiple regions and unlabeled observations. Ecol. Informatics 23: 62-68 (2014) - [c33]Yi Yang, Shawn D. Newsam:
Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration. ICPR 2014: 4062-4067 - 2013
- [j4]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): 13-14 (2013) - [j3]Yi Yang, Shawn D. Newsam:
Geographic Image Retrieval Using Local Invariant Features. IEEE Trans. Geosci. Remote. Sens. 51(2): 818-832 (2013) - 2012
- [c32]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: 12-15 - [c31]Daniel Leung, Shawn D. Newsam:
Exploring Geotagged images for land-use classification. GeoMM@ACM Multimedia 2012: 3-8 - [c30]Nathan Graves, Shawn D. Newsam:
Visibility cameras: where and how to look. MAED@ACM Multimedia 2012: 7-12 - [c29]Yi Yang, Shawn D. Newsam:
Estimating the spatial extents of geospatial objects using hierarchical models. WACV 2012: 305-312 - [e1]Gabriel Ghinita, Jennifer Neville, Shawn D. Newsam:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2012, Redondo Beach, California, USA, November 6, 2012. ACM 2012, ISBN 978-1-4503-1698-9 [contents] - 2011
- [j2]Joshua L. Phillips, Michael E. Colvin, Shawn D. Newsam:
Validating Clustering of Molecular Dynamics Simulations Using Polymer Models. BMC Bioinform. 12: 445 (2011) - [c28]Shawn D. Newsam, Brent Edmunds, Andrew Pierce:
PedSeg: GPS tracks as priors for overhead image segmentation. GIS 2011: 533-536 - [c27]Yi Yang, Shawn D. Newsam:
Spatial pyramid co-occurrence for image classification. ICCV 2011: 1465-1472 - [c26]Nathan Graves, Shawn D. Newsam:
Using visibility cameras to estimate atmospheric light extinction. WACV 2011: 577-584 - 2010
- [c25]Daniel Leung, Shawn D. Newsam:
Proximate sensing: Inferring what-is-where from georeferenced photo collections. CVPR 2010: 2955-2962 - [c24]Yi Yang, Shawn D. Newsam:
Bag-of-visual-words and spatial extensions for land-use classification. GIS 2010: 270-279 - [c23]Shawn D. Newsam, Daniel Leung, Oscar Caballero, Justin Floreza, Jesus Pulido:
CBGIR: content-based geographic image retrieval. GIS 2010: 526-527 - [c22]Ling Xie, Miguel Á. Carreira-Perpiñán, Shawn D. Newsam:
Semi-supervised regression with temporal image sequences. ICIP 2010: 2637-2640
2000 – 2009
- 2009
- [c21]Daniel Leung, Shawn D. Newsam:
Proximate sensing using georeferenced community contributed photo collections. GIS-LBSN 2009: 57-64 - 2008
- [c20]Shawn D. Newsam, Yi Yang:
Integrating gazetteers and remote sensed imagery. GIS 2008: 26 - [c19]Yi Yang, Shawn D. Newsam:
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery. ICIP 2008: 1852-1855 - [c18]Ling Xie, Alex Chiu, Shawn D. Newsam:
Estimating Atmospheric Visibility Using General-Purpose Cameras. ISVC (2) 2008: 356-367 - 2007
- [c17]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: 649812 - [c16]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: 368-373 - [c15]Shawn D. Newsam, Yang Yang:
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery. GIS 2007: 9 - [c14]Shawn D. Newsam:
Hierarchical texture motifs. IPAS 2007: 649708 - [c13]Shawn D. Newsam, Yang Yang:
Geographic Image Retrieval Using Interest Point Descriptors. ISVC (2) 2007: 275-286 - 2006
- [c12]Shawn D. Newsam, Chandrika Kamath:
Comparing shape and texture features for pattern recognition in simulation data. Image Processing: Algorithms and Systems 2006: 106-117 - 2005
- [c11]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 - [c10]Shawn D. Newsam:
Seeing and reading red: hue and color-word correlation in images and attendant text on the WWW. MDM@KDD 2005: 101-106 - 2004
- [c9]Shawn D. Newsam, B. S. Manjunath:
Normalized Texture Motifs and Their Application to Statistical Object Modeling. CVPR Workshops 2004: 45 - [c8]Shawn D. Newsam, Chandrika Kamath:
Retrieval using texture features in high-resolution multispectral satellite imagery. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 21-32 - [c7]Erick Cantú-Paz, Shawn D. Newsam, Chandrika Kamath:
Feature selection in scientific applications. KDD 2004: 788-793 - [c6]Shawn D. Newsam, Jelena Tesic, Lei Wang, B. S. Manjunath:
Issues in managing image and video data. Storage and Retrieval Methods and Applications for Multimedia 2004: 280-291 - 2003
- [c5]Shawn D. Newsam, Sitaram Bhagavathy, B. S. Manjunath:
Object localization using texture motifs and Markov random fields. ICIP (2) 2003: 1049-1052 - 2002
- [c4]Shawn D. Newsam, Sitaram Bhagavathy, B. S. Manjunath:
Modeling object classes in aerial images using hidden Markov models. ICIP (1) 2002: 860-863 - [c3]Jelena Tesic, Shawn D. Newsam, B. S. Manjunath:
Scalable spatial event representation. ICME (2) 2002: 229-232 - [c2]Sitaram Bhagavathy, Shawn D. Newsam, B. S. Manjunath:
Modeling Object Classes in Aerial Images Using Texture Motifs. ICPR (2) 2002: 981-984 - 2001
- [c1]Shawn D. Newsam, Baris Sumengen, B. S. Manjunath:
Category-based image retrieval. ICIP (3) 2001: 596-599 - 2000
- [j1]Peng Wu, B. S. Manjunath, Shawn D. Newsam, H. D. Shin:
A texture descriptor for browsing and similarity retrieval. Signal Process. Image Commun. 16(1-2): 33-43 (2000)
Coauthor Index
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