S. Newsam

发表

Mining Image Datasets Using Perceptual Association Rules

B. S. Manjunath, Jelena Tesic, S. Newsam, 2003 .

Spatial pyramid co-occurrence for image classification

Shawn D. Newsam, Yi Yang, Yi Yang, 2011, 2011 International Conference on Computer Vision.

A Bimodal Distribution of Two Distinct Categories of Intrinsically Disordered Structures with Separate Functions in FG Nucleoporins*

Joshua L. Phillips, S. Newsam, V. Uversky, 2010, Molecular & Cellular Proteomics.

ActivityNet Kernelised Representation Generalised Multiple Instance Learning Deep Features NMF with JSD Transfer Joint Matching Actions in Unknown Datasets Word 2 Vec New Concepts Deep Network Matching 1 2 3

S. Newsam, L. Shao, Yi Zhu, 2018 .

IM2MAP: deriving maps from georeferenced community contributed photo collections

S. Newsam, Ling Xie, 2011, WSM '11.

4.9 – Multiband Techniques for Texture Classification and Segmentation

B. S. Manjunath, Wei-Ying Ma, Bangalore S. Manjunath, 2005 .

IAF-00-B . 6 . 01 OBJECT-BASED REPRESENTATIONS OF SPATIAL IMAGES

B. S. Manjunath, S. Newsam, C. Kenney, 2000 .

UNIVERSITY OF CALIFORNIA, MERCED Block Coordinate Descent Proximal Method for ODE Estimation and Discovery A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Electrical Engineering and Computer Science by

S. Newsam, Ramin Raziperchikolaei, David Noelle, 2019 .

Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation

S. Newsam, Jacob Hinkle, A. Tsaris, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Merced Electronic Theses and Dissertations Title Multi-frame Video Prediction with Learnable Temporal Motion Encodings Permalink

S. Newsam, 2020 .

CoSSD - An end-to-end framework for multi-instance source separation and detection

S. Newsam, Shrishail Baligar, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Learning Optical Flow via Dilated Networks and Occlusion Reasoning

Yi Zhu, Shawn D. Newsam, S. Newsam, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval pdf

Zhenfeng Shao, Weixun Zhou, Shawn Newsam, 2017, ISPRS Journal of Photogrammetry and Remote Sensing.

Retrieval using texture features in high-resolution multispectral satellite imagery

Chandrika Kamath, Shawn D. Newsam, S. Newsam, 2004, SPIE Defense + Commercial Sensing.

Hidden Two-Stream Convolutional Networks for Action Recognition

Yi Zhu, Alexander G. Hauptmann, Shawn D. Newsam, 2017, ACCV.

Geographic Image Retrieval Using Local Invariant Features

Shawn D. Newsam, Yi Yang, Yi Yang, 2013, IEEE Transactions on Geoscience and Remote Sensing.

DenseNet for dense flow

Yi Zhu, Shawn D. Newsam, S. Newsam, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery

Shawn D. Newsam, Yang Yang, S. Newsam, 2007, GIS.

Bag-of-visual-words and spatial extensions for land-use classification

Shawn D. Newsam, Yi Yang, Yi Yang, 2010, GIS '10.

Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery

Shawn D. Newsam, Yi Yang, Yi Yang, 2008, 2008 15th IEEE International Conference on Image Processing.

Validating clustering of molecular dynamics simulations using polymer models

Shawn D. Newsam, Joshua L. Phillips, Michael E. Colvin, 2011, BMC Bioinformatics.

Using texture to annotate remote sensed datasets

B. S. Manjunath, Sitaram Bhagavathy, Bangalore S. Manjunath, 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

Random Temporal Skipping for Multirate Video Analysis pdf

Yi Zhu, Shawn D. Newsam, S. Newsam, 2018, ACCV.

Using visibility cameras to estimate atmospheric light extinction

Shawn D. Newsam, Nathan Graves, S. Newsam, 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).

Estimating Atmospheric Visibility Using General-Purpose Cameras

Shawn D. Newsam, Ling Xie, Alex Chiu, 2008, ISVC.

Towards Universal Representation for Unseen Action Recognition

Ling Shao, Yi Zhu, Yang Long, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Efficient Action Detection in Untrimmed Videos via Multi-task Learning

Shawn D. Newsam, Yi Zhu, S. Newsam, 2016, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Improving Semantic Segmentation via Video Propagation and Label Relaxation

Shawn D. Newsam, Karan Sapra, Bryan Catanzaro, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Motion-Aware Feature for Improved Video Anomaly Detection pdf

Shawn Newsam, Yi Zhu, S. Newsam, 2019, BMVC.

Fashion Image Retrieval with Text Feedback by Additive Attention Compositional Learning

S. Newsam, K. Boakye, Yuxin Tian, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

One-class remote sensing classification: one-class vs. binary classifiers

Wenkai Li, Qinghua Guo, Xiaoping Liu, 2018 .

GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions

Yingjie Hu, Wenwen Li, Shawn Newsam, 2019, SIGSPACIAL.

Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery pdf

Yuxin Tian, Shawn Newsam, Xueqing Deng, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Cross-Time and Orientation-Invariant Overhead Image Geolocalization Using Deep Local Features

Yi Zhu, Yuxin Tian, Shawn Newsam, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images

Yi Zhu, Shawn D. Newsam, Xueqing Deng, 2018, IEEE Transactions on Multimedia.

Land use classification using convolutional neural networks applied to ground-level images

Yi Zhu, Shawn D. Newsam, S. Newsam, 2015, SIGSPATIAL/GIS.

Exploring Geotagged images for land-use classification

Shawn D. Newsam, Daniel Leung, S. Newsam, 2012, GeoMM '12.

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

S. Newsam, Peng Wang, Xiaochen Lian, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks

Dengfeng Chai, Hankui K. Zhang, Shawn Newsam, 2019, Remote Sensing of Environment.

The effect of soundscape composition on bird vocalization classification in a citizen science biodiversity monitoring project

S. Newsam, S. Goetz, M. Clark, 2023, Ecological Informatics.

AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation pdf

Shawn Newsam, Xueqing Deng, Yi Zhu, 2021, ArXiv.

Spatio-temporal sentiment hotspot detection using geotagged photos

Yi Zhu, Shawn D. Newsam, S. Newsam, 2016, SIGSPATIAL/GIS.

Deep Local Video Feature for Action Recognition

Yi Zhu, Shawn D. Newsam, Zhen-Zhong Lan, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

Shawn D. Newsam, Zhenfeng Shao, Weixun Zhou, 2016, Remote. Sens..

A texture descriptor for image retrieval and browsing

Shawn Newsam, P. Wu, B. S. Manjunanth, 1999, Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL'99).

Comparing shape and texture features for pattern recognition in simulation data

Chandrika Kamath, Shawn D. Newsam, S. Newsam, 2005, IS&T/SPIE Electronic Imaging.

Multi-scale adversarial network for vehicle detection in UAV imagery

S. Newsam, Z. Shao, Deren Li, 2021, ISPRS Journal of Photogrammetry and Remote Sensing.

Issues in managing image and video data

Lei Wang, B. S. Manjunath, Shawn D. Newsam, 2003, IS&T/SPIE Electronic Imaging.

PedSeg: GPS tracks as priors for overhead image segmentation

Shawn D. Newsam, Brent Edmunds, Andrew Pierce, 2011, GIS.

Scalable spatial event representation

B. S. Manjunath, Shawn D. Newsam, Jelena Tesic, 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

Georeferenced Social Multimedia as Volunteered Geographic Information

Daniel Leung, Shawn Newsam, S. Newsam, 2018, CyberGIS for Geospatial Discovery and Innovation.

Large-Scale Mapping of Human Activity using Geo-Tagged Videos

Yi Zhu, Sen Liu, Shawn D. Newsam, 2017, SIGSPATIAL/GIS.

Large-Scale Human Activity Mapping using Geo-Tagged Videos pdf

Shawn D. Newsam, Sen Liu, Yi Zhu, 2017, ArXiv.

Land cover classification using geo-referenced photos

S. Newsam, Daniel Leung, 2015, Multimedia tools and applications.

Can off-the-shelf object detectors be used to extract geographic information from geo-referenced social multimedia?

Shawn D. Newsam, Daniel Leung, S. Newsam, 2012, LBSN '12.

Proximate sensing: Inferring what-is-where from georeferenced photo collections

Shawn D. Newsam, Daniel Leung, S. Newsam, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Proximate sensing using georeferenced community contributed photo collections

Shawn D. Newsam, Daniel Leung, S. Newsam, 2009, LBSN '09.

What is it like down there?: generating dense ground-level views and image features from overhead imagery using conditional generative adversarial networks

Yi Zhu, Shawn D. Newsam, Xueqing Deng, 2018, SIGSPATIAL/GIS.

Quantitative Comparison of Open-Source Data for Fine-Grain Mapping of Land Use

Shawn D. Newsam, Xueqing Deng, S. Newsam, 2017, UrbanGIS@SIGSPATIAL.

Category-based image retrieval

B. S. Manjunath, Shawn D. Newsam, Baris Sumengen, 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

Aerial image semantic segmentation using DCNN predicted distance maps

Dengfeng Chai, Shawn Newsam, Jingfeng Huang, 2020 .

UC Merced Submission to the ActivityNet Challenge 2016 pdf

Yi Zhu, Zaikun Xu, Shawn D. Newsam, 2017, ArXiv.

A texture descriptor for browsing and similarity retrieval

B. S. Manjunath, Shawn D. Newsam, Peng Wu, 2000, Signal Process. Image Commun..

Gated Transfer Network for Transfer Learning

Yi Zhu, Shawn D. Newsam, Jia Xue, 2018, ACCV.

Feature selection in scientific applications

Chandrika Kamath, Shawn D. Newsam, Erick Cantú-Paz, 2004, KDD.

DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization

S. Newsam, Dawei Sun, Xueqing Deng, 2022, ECCV.

Image Search with Text Feedback by Additive Attention Compositional Learning

S. Newsam, K. Boakye, Yuxin Tian, 2022, ArXiv.

Semi-supervised Learning of Geospatial Objects through Multi-modal Data Integration

Shawn D. Newsam, Yi Yang, Yi Yang, 2014, 2014 22nd International Conference on Pattern Recognition.

Estimating the spatial extents of geospatial objects using hierarchical models

Shawn D. Newsam, Yi Yang, Yi Yang, 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

Integrating gazetteers and remote sensed imagery

Shawn D. Newsam, Yi Yang, Yi Yang, 2008, GIS '08.

Object localization using texture motifs and Markov random fields

B. S. Manjunath, Sitaram Bhagavathy, Shawn D. Newsam, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Modeling object classes in aerial images using texture motifs

B. S. Manjunath, Sitaram Bhagavathy, Shawn D. Newsam, 2002, Object recognition supported by user interaction for service robots.

Using texture to analyze and manage large collections of remote sensed image and video data.

B. S. Manjunath, Lei Wang, Sitaram Bhagavathy, 2004, Applied optics.