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Jaya Sreevalsan-Nair
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2020 – today
- 2024
- [j8]Prince Nileshbhai Butani
, Jaya Sreevalsan-Nair
CMA: An End-to-End System for Reverse Engineering Choropleth Map Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j7]Sin Liang Lim
Multispectral data mining: A focus on remote sensing satellite images. WIREs Data. Mining. Knowl. Discov. 14(2) (2024) - [c31]Vijay Jaisankar
SuP-SLiP: Subsampled Processing of Large-scale Static LIDAR Point Clouds. GeoSearch@SIGSPATIAL 2024: 40-47 - [c30]Aswathi Mundayatt, Jaya Sreevalsan-Nair:
Scaling Up Study Area Size in Flood Susceptibility Mapping. IGARSS 2024: 3211-3214 - 2023
- [j6]Harshitha Ravindra, Jaya Sreevalsan-Nair
A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis. SN Comput. Sci. 4(3): 224 (2023) - [c29]Beryl Gnanaraj
EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-based Analysis. ETRA 2023: 42:1-42:2 - [c28]Jaya Sreevalsan-Nair:
On Metavisualization and Properties of Visualization. VISIGRAPP (3: IVAPP) 2023: 230-239 - 2022
- [j5]Satendra Singh, Jaya Sreevalsan-Nair
Adaptive Multiscale Feature Extraction in a Distributed System for Semantic Classification of Airborne LiDAR Point Clouds. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j4]Siri Chandana Daggubati, Jaya Sreevalsan-Nair
BarChartAnalyzer: Data Extraction and Summarization of Bar Charts from Images. SN Comput. Sci. 3(6): 500 (2022) - [c27]Dhvani Katkoria, Jaya Sreevalsan-Nair
RoSELS: Road Surface Extraction for 3D Automotive LiDAR Point Cloud Sequence. DeLTA 2022: 55-67 - [c26]Dhvani Katkoria, Jaya Sreevalsan-Nair
Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences. DeLTA (Selected Papers) 2022: 98-120 - [c25]Jaya Sreevalsan-Nair, Astha Jakher:
CAP-DSDN: Node Co-association Prediction in Communities in Dynamic Sparse Directed Networks and a Case Study of Migration Flow. KDIR 2022: 63-74 - [c24]Siri Chandana Daggubati
ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects. ICCS (3) 2022: 605-612 - [c23]Harshitha Ravindra, Jaya Sreevalsan-Nair
Composition of Geospatial Visualizations for Scale-aware Views of Multiple Outcome Variables in Population Surveys. IV 2022: 432-441 - 2021
- [c22]Jaya Sreevalsan-Nair, Pragyan Mohapatra, Satendra Singh:
IMGD: Image-based Multiscale Global Descriptors of Airborne LiDAR Point Clouds Used for Comparative Analysis. STAG 2021: 61-72 - [c21]Reddy Rani Vangimalla
HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction. EMBC 2021: 1880-1886 - [c20]Harshitha Ravindra, Jaya Sreevalsan-Nair
Integrating Population Surveys using Spatial Visual Analytics: A Case Study on Nutrition and Health Indicators of Children under Five in India. GISTAM 2021: 203-213 - [c19]Komal Dadhich, Siri Chandana Daggubati
ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-Based Computational Model. ICCS (5) 2021: 70-83 - [c18]Satendra Singh, Jaya Sreevalsan-Nair
A Distributed System for Optimal Scale Feature Extraction and Semantic Classification of Large-Scale Airborne LiDAR Point Clouds. ICDCIT 2021: 280-288 - [c17]Komal Dadhich, Siri Chandana Daggubati
BarChartAnalyzer: Digitizing Images of Bar Charts. IMPROVE 2021: 17-28 - [c16]Ankita Christine Victor, Jaya Sreevalsan-Nair
Building 3D Virtual Worlds from Monocular Images of Urban Road Traffic Scenes. ISVC (2) 2021: 461-474 - 2020
- [c15]Reddy Rani Vangimalla
A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network. EMBC 2020: 2824-2828 - [c14]Jaya Sreevalsan-Nair
Influence of Aleatoric Uncertainty on Semantic Classification of Airborne Lidar Point Clouds: A Case Study with Random Forest Classifier Using Multiscale Features. IGARSS 2020: 1066-1069 - [i2]Jaya Sreevalsan-Nair, Pragyan Mohapatra:
Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Determining Change in Time-varying Data. CoRR abs/2005.02152 (2020) - [i1]Jaya Sreevalsan-Nair, Komal Dadhich, Siri Chandana Daggubati:
Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots. CoRR abs/2010.02319 (2020)
2010 – 2019
- 2019
- [c13]Nitya Hariharan, P. Chitra, Jaya Sreevalsan-Nair:
HIPC 2019 Women in Computing Workshop. HiPC Workshops 2019: 78 - 2018
- [j3]Jaya Sreevalsan-Nair
Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multiscale Local Geometric Descriptors and Visual Analytics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2320-2335 (2018) - [c12]Kuruvilla Lukose, Shivam Agarwal
Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans using Model based Testing. VISIGRAPP (3: IVAPP) 2018: 289-300 - 2017
- [c11]Jaya Sreevalsan-Nair
NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks. VISIGRAPP (3: IVAPP) 2017: 140-151 - [c10]Jaya Sreevalsan-Nair
Using gradients and tensor voting in 3D local geometric descriptors for feature detection in airborne lidar point clouds in urban regions. IGARSS 2017: 5881-5884 - 2016
- [c9]Shivam Agarwal, Amit Tomar, Jaya Sreevalsan-Nair
NodeTrix-Multiplex: Visual Analytics of Multiplex Small World Networks. COMPLEX NETWORKS 2016: 579-591 - 2015
- [c8]Beena Kumari, Jaya Sreevalsan-Nair
An interactive visual analytic tool for semantic classification of 3D urban LiDAR point cloud. SIGSPATIAL/GIS 2015: 73:1-73:4 - 2014
- [c7]Beena Kumari, Avijit Ashe, Jaya Sreevalsan-Nair
Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud. BDA 2014: 129-132 - 2013
- [c6]Saima Parveen, Jaya Sreevalsan-Nair
Visualization of Small World Networks Using Similarity Matrices. BDA 2013: 151-170 - 2012
- [c5]Akshay Narayan, Jaya Sreevalsan-Nair, Kelly P. Gaither, Bernd Hamann:
Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements. GRAPP/IVAPP 2012: 660-669 - 2011
- [p3]Jaya Sreevalsan-Nair
Eigenvector-based Interpolation and Segmentation of 2D Tensor Fields. Topological Methods in Data Analysis and Visualization 2011: 139-150 - [p2]Cornelia Auer, Jaya Sreevalsan-Nair
2D Tensor Field Segmentation. Scientific Visualization: Interactions, Features, Metaphors 2011: 17-35 - 2010
- [p1]Ingrid Hotz, Jaya Sreevalsan-Nair
Tensor Field Reconstruction Based on Eigenvector and Eigenvalue Interpolation. Scientific Visualization: Advanced Concepts 2010: 110-123
2000 – 2009
- 2009
- [c4]Weijia Xu, Jaya Sreevalsan-Nair
Visual Representation of Multiple Associations in Data using Constrained Graph Layout. TPCG 2009: 65-68 - 2007
- [j2]Jaya Sreevalsan-Nair, Lars Linsen, Bernd Hamann:
Topologically Accurate Dual Isosurfacing Using Ray Intersection. J. Virtual Real. Broadcast. 4 (2007) - [c3]Jaya Sreevalsan-Nair
Human-Guided Enhancement of a Stochastic Local Search: Visualization and Adjustment of 3D Pheromone. SLS 2007: 182-186 - [c2]Jaya Sreevalsan-Nair
An interactive visual exploration tool for Northern California's water-monitoring network. Visualization and Data Analysis 2007: 649506 - 2006
- [c1]Jaya Sreevalsan-Nair, Bernd Hamann, Lars Linsen:
Using ray intersection for dual isosurfacing. GRAPP 2006: 34-42 - 2002
- [j1]David S. Thompson, Raghu Machiraju, Ming Jiang, Jaya Sreevalsan-Nair
Physics-based feature mining for large data exploration. Comput. Sci. Eng. 4(4): 22-30 (2002)
Coauthor Index
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