Ranga Raju Vatsavai

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 64

Top Venues

CoRR

ACM SIGSPATIAL Special

BigSpatial@SIGSPATIAL

IGARSS

Publications

Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. CoRR (2023)
Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. CoRR (2023)
Krishna Karthik Gadiraju, Ranga Raju Vatsavai
Remote Sensing Based Crop Type Classification Via Deep Transfer Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Sai Venkata Vinay Kumar Samudrala, Yifan Zhao, Ranga Raju Vatsavai
Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images. IGARSS (2023)
Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai
Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent. ICDM (Workshops) (2023)
Zhuocheng Mei, Ranga Raju Vatsavai, Rada Chirkova
Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity. BigSpatial@SIGSPATIAL (2023)
Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer. ECML/PKDD (7) (2023)
Xian Yang, Yifan Zhao, Ranga Raju Vatsavai
Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery. SSTD (2023)
Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring. ICTAI (2023)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
A Survey of Single-Scene Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
Persona-Based Conversational AI: State of the Art and Challenges. CoRR (2022)
Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Real-Time Change Detection At the Edge. ICMLA (2022)
Junfeng Liu, Christopher T. Symons, Ranga Raju Vatsavai
Persona-Based Conversational AI: State of the Art and Challenges. ICDM (Workshops) (2022)
Ashwin Shashidharan, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Varun Chandola
The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022). ACM SIGSPATIAL Special 14 (1) (2022)
Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. ICMLA (2022)
Xian Yang, Yifan Zhao, Ranga Raju Vatsavai
Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery. ICPR (2022)
Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. CoRR (2021)
Bharathkumar Ramachandra, Michael Jones, Ranga Raju Vatsavai
Perceptual metric learning for video anomaly detection. Mach. Vis. Appl. 32 (3) (2021)
Anton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks. ICDM (Workshops) (2021)
Yifan Zhao, Xian Yang, Ranga Raju Vatsavai
A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections. IEEE BigData (2021)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
Learning a distance function with a Siamese network to localize anomalies in videos. WACV (2020)
Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. CoRR (2020)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
A Survey of Single-Scene Video Anomaly Detection. CoRR (2020)
Ashwin Shashidharan, Varun Chandola, Ranga Raju Vatsavai
The 9th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2020): November 3, 2020. ACM SIGSPATIAL Special 12 (3) (2020)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai
Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. KDD (2020)
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Local Clustering with Mean Teacher for Semi-supervised learning. ICPR (2020)
Krishna Karthik Gadiraju, Ranga Raju Vatsavai
Comparative analysis of deep transfer learning performance on crop classification. BigSpatial@SIGSPATIAL (2020)
Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR (2020)
Bharathkumar Ramachandra, Michael J. Jones, Ranga Raju Vatsavai
Learning a distance function with a Siamese network to localize anomalies in videos. CoRR (2020)
Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai
Estimating a Manifold from a Tangent Bundle Learner. CoRR (2019)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. ICDM Workshops (2019)
Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Jaime Puente
Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. IGARSS (2019)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai
Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. ICMLA (2019)
Ranga Raju Vatsavai, Bharathkumar Ramachandra, Zexi Chen, John Jernigan
geoEdge: a real-time analytics framework for geospatial applications. BigSpatial@SIGSPATIAL (2019)
Bharathkumar Ramachandra, Benjamin Dutton, Ranga Raju Vatsavai
Anomalous cluster detection in spatiotemporal meteorological fields. Stat. Anal. Data Min. 12 (2) (2019)
Ashwin Shashidharan, Varun Chandola, Ranga Raju Vatsavai
The Eighth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Chicago, IL, USA - November 5, 2019. ACM SIGSPATIAL Special 11 (3) (2019)
Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. IGARSS (2019)
Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai
Relational Long Short-Term Memory for Video Action Recognition. CoRR (2018)
Nathan Pool, Ranga Raju Vatsavai
Deformable Part Models for Complex Object Detection in Remote Sensing Imagery. BigSpatial@SIGSPATIAL (2018)
Ashwin Shashidharan, Ranga Raju Vatsavai, Derek B. van Berkel, Ross K. Meentemeyer
FUTURES-AMR: Towards an Adaptive Mesh Refinement Framework for Geosimulations. GIScience (2018)
Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Nikhil Kaza, Eric Wibbels, Anirudh Krishna
Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images. ICDM Workshops (2018)
Varun Chandola, Ranga Raju Vatsavai
The seventh ACM SIGSPATIAL international workshop on analysis for big spatial data seattle, wa, USA - November 6, 2018. ACM SIGSPATIAL Special 10 (3) (2018)
Ashwin Shashidharan, Ranga Raju Vatsavai, Ross K. Meentemeyer
FUTURES-DPE: towards dynamic provisioning and execution of geosimulations in HPC environments. SIGSPATIAL/GIS (2018)
Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Ranga Raju Vatsavai
Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (1) (2017)
Ashwin Shashidharan, Ranga Raju Vatsavai, Abhinav Ashish, Ross K. Meentemeyer
tFUTURES: Computational Steering for Geosimulations. SIGSPATIAL/GIS (2017)
Varun Chandola, Ranga Raju Vatsavai
The Sixth ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data: Redondo Beach, CA, USA - November 7, 2017. ACM SIGSPATIAL Special 9 (3) (2017)
Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai
Hierarchical change detection framework for biomass monitoring. IGARSS (2017)
Clayton Connors, Ranga Raju Vatsavai
Semi-supervised deep generative models for change detection in very high resolution imagery. IGARSS (2017)
Yupeng Yan, Manu Sethi, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka
Graph-based semi-supervised classification on very high resolution remote sensing images. Int. J. Big Data Intell. 4 (2) (2017)
Sushil K. Prasad, Danial Aghajarian, Michael McDermott, Dhara Shah, Mohamed F. Mokbel, Satish Puri, Sergio J. Rey, Shashi Shekhar, Yiqun Xe, Ranga Raju Vatsavai, Fusheng Wang, Yanhui Liang, Hoang Vo, Shaowen Wang
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. BigData Congress (2017)
David C. Thompson, Sébastien Jourdain, Andrew C. Bauer, Berk Geveci, Robert Maynard, Ranga Raju Vatsavai, Patrick O'Leary
In Situ Summarization with VTK-m. ISAV@SC (2017)
Seokyong Hong, Sangkeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai
Evaluation of Pattern Matching Workloads in Graph Analysis Systems. HPDC (2016)
Seokyong Hong, Ranga Raju Vatsavai
A Scalable Probabilistic Change Detection Algorithm for Very High Resolution (VHR) Satellite Imagery. BigData Congress (2016)
Ranga Raju Vatsavai, Varun Chandola
Guest editorial: big spatial data. GeoInformatica 20 (4) (2016)
Ashwin Shashidharan, Derek B. van Berkel, Ranga Raju Vatsavai, Ross K. Meentemeyer
pFUTURES: A Parallel Framework for Cellular Automaton Based Urban Growth Models. GIScience (2016)
Zexi Chen, Ranga Raju Vatsavai, Bharathkumar Ramachandra, Qiang Zhang, Nagendra Singh, Sreenivas Sukumar
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. IEEE BigData (2016)
Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Dale P. Kaiser, Thomas P. Karnowski
Detecting Extreme Events in Gridded Climate Data. ICCS (2016)
Qiang Zhang, Ranga Raju Vatsavai, Ashwin Shashidharan, Derek B. van Berkel
Agent based urban growth modeling framework on Apache Spark. BigSpatial@SIGSPATIAL (2016)
Seokyong Hong, Ranga Raju Vatsavai
Sliding Window-based Probabilistic Change Detection for Remote-sensed Images. ICCS (2016)
Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai
Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. 18 (2) (2016)
Ranga Raju Vatsavai
Multitemporal data mining: From biomass monitoring to nuclear proliferation detection. MultiTemp (2015)
Ranga Raju Vatsavai
A Scalable Complex Pattern Mining Framework for Global Settlement Mapping. BigData Congress (2015)
Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka
Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. KDD (2015)
Varun Chandola, Ranga Raju Vatsavai
The Third ACM SIGSPATIAL International Workshop on Analysis for Big Spatial Data Dallas, Texas, USA - November 4, 2014. ACM SIGSPATIAL Special 7 (2) (2015)
Budhendra L. Bhaduri, Dilip R. Patlolla, Ranga Raju Vatsavai, Anil M. Cheriyadat, Wei Lu, Rajasekar Karthik
Emerging trends in monitoring landscapes and energy infrastructures with big spatial data. ACM SIGSPATIAL Special 6 (3) (2014)
Varun Chandola, Ranga Raju Vatsavai
BigSpatial-2013 workshop report: 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial-2013): Nov 5, 2013, Orlando, Florida, USA. ACM SIGSPATIAL Special 6 (1) (2014)
Ranga Raju Vatsavai
Object based image classification: state of the art and computational challenges. BigSpatial@SIGSPATIAL (2013)
Ranga Raju Vatsavai
Gaussian multiple instance learning approach for mapping the slums of the world using very high resolution imagery. KDD (2013)
Karthik Ganesan Pillai, Ranga Raju Vatsavai
Multi-sensor Remote Sensing Image Change Detection: An Evaluation of Similarity Measures. ICDM Workshops (2013)
Ranga Raju Vatsavai
Scalable Multi-Instance Learning Approach for Mapping the Slums of the World. SC Companion (2012)
Christopher T. Symons, Ranga Raju Vatsavai, Goo Jun, Itamar Arel
Bias Selection Using Task-Targeted Random Subspaces for Robust Application of Graph-Based Semi-supervised Learning. ICMLA (1) (2012)
Ranga Raju Vatsavai, Auroop R. Ganguly, Varun Chandola, Anthony Stefanidis, Scott Klasky, Shashi Shekhar
Spatiotemporal data mining in the era of big spatial data: algorithms and applications. BigSpatial@SIGSPATIAL (2012)
Shaowen Wang, Anand Padmanabhan, Nancy Wilkins-Diehr, Xuan Shi, Ranga Raju Vatsavai
Highlights on ACM HPDGIS 2011: the Second International ACM SIGSPATIAL Workshop on High Performance and Distributed Geographic Information Systems (HPDGIS) 2011: (Chicago, Illinois - November 1, 2011). ACM SIGSPATIAL Special 4 (1) (2012)
Ranga Raju Vatsavai, Jordan Graesser
Probabilistic Change Detection Framework for Analyzing Settlement Dynamics Using Very High-resolution Satellite Imagery. ICCS (2012)
Ranga Raju Vatsavai
A machine learning system for recognizing subclasses. COM.Geo (2012)
Ranga Raju Vatsavai
Modeling spatial dependencies and semantic concepts in data mining. COM.Geo (2012)
Ranga Raju Vatsavai
A Data Mining Framework for Monitoring Nuclear Facilities. ICDM Workshops (2012)
Ranga Raju Vatsavai
Rapid Damage eXplorer (RDX): A Probabilistic Framework for Learning Changes from Bitemporal Images. ICDM Workshops (2012)
Jordan Graesser, Anil M. Cheriyadat, Ranga Raju Vatsavai, Varun Chandola, Jordan Long, Eddie A. Bright
Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (4) (2012)
Varun Chandola, Ranga Raju Vatsavai
A scalable gaussian process analysis algorithm for biomass monitoring. Stat. Anal. Data Min. 4 (4) (2011)
Ranga Raju Vatsavai, Mark Tuttle, Budhendra L. Bhaduri, Edward Bright, Anil M. Cheriyadat, Varun Chandola, Jordan Graesser
Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques. IGARSS (2011)
Varun Chandola, Ranga Raju Vatsavai, Budhendra L. Bhaduri
iGlobe: an interactive visualization and analysis framework for geospatial data. COM.Geo (2011)
Forrest M. Hoffman, J. Walter Larson, Richard Tran Mills, Bjørn-Gustaf J. Brooks, Auroop R. Ganguly, William W. Hargrove, Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai
Data Mining in Earth System Science (DMESS 2011). ICCS (2011)
Ranga Raju Vatsavai, Budhendra L. Bhaduri
A hybrid classification scheme for mining multisource geospatial data. GeoInformatica 15 (1) (2011)
Shaowen Wang, Nancy Wilkins-Diehr, Anand Padmanabhan, Xuan Shi, Ranga Raju Vatsavai, Jianting Zhang
HPDGIS 2010 workshop report: ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (San Jose, California - November 2, 2010). ACM SIGSPATIAL Special 3 (1) (2011)
Randy S. Roberts, Paul A. Pope, Ranga Raju Vatsavai, Ming Jiang, Lloyd F. Arrowood, Timothy G. Trucano, Shaun S. Gleason, Anil M. Cheriyadat, Alex Sorokine, Aggelos K. Katsaggelos, Thrasyvoulos N. Pappas, Lucinda R. Gaines, Lawrence K. Chilton
Design of benchmark imagery for validating facility annotation algorithms. IGARSS (2011)
Ranga Raju Vatsavai, Eddie A. Bright, Varun Chandola, Budhendra L. Bhaduri, Anil M. Cheriyadat, Jordan Graesser
Machine learning approaches for high-resolution urban land cover classification: a comparative study. COM.Geo (2011)
Ranga Raju Vatsavai
High-Resolution Urban Image Classification Using Extended Features. ICDM Workshops (2011)
Shaun S. Gleason, Mesfin Dema, Hamed Sari-Sarraf, Anil M. Cheriyadat, Ranga Raju Vatsavai, Regina Ferrell
Verification & validation of a semantic image tagging framework via generation of geospatial imagery ground truth. IGARSS (2011)
Varun Chandola, Ranga Raju Vatsavai
Implementing a gaussian process learning algorithm in mixed parallel environment. ScalA@SC (2011)
Ranga Raju Vatsavai, Christopher T. Symons, Varun Chandola, Goo Jun
GX-Means: A model-based divide and merge algorithm for geospatial image clustering. ICCS (2011)
Varun Chandola, Ranga Raju Vatsavai
A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series. SDM (2011)
Ranga Raju Vatsavai, Anil M. Cheriyadat, Shaun S. Gleason
Supervised semantic classification for nuclear proliferation monitoring. AIPR (2010)
Ranga Raju Vatsavai, Anil M. Cheriyadat, Shaun S. Gleason
Unsupervised Semantic Labeling Framework for Identification of Complex Facilities in High-Resolution Remote Sensing Images. ICDM Workshops (2010)
Robert Tetrault, Brad Doorn, Alison Goss Eng, Alex Philp, Budhendra L. Bhaduri, Ranga Raju Vatsavai
Emerging geospatial science and technology for sustainable bioenergy. COM.Geo (2010)
Varun Chandola, Ranga Raju Vatsavai
Scalable Time Series Change Detection for Biomass Monitoring Using Gaussian Process. CIDU (2010)
Anil M. Cheriyadat, Ranga Raju Vatsavai, Eddie A. Bright
Modeling spatial dependencies in high-resolution overhead imagery. AIPR (2010)
Varun Chandola, Dafeng Hui, Lianhong Gu, Budhendra L. Bhaduri, Ranga Raju Vatsavai
Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data. ICDM Workshops (2010)
Varun Chandola, Ranga Raju Vatsavai
Multi-temporal remote sensing image classification - A multi-view approach. CIDU (2010)
Shaun S. Gleason, Regina Ferrell, Anil M. Cheriyadat, Ranga Raju Vatsavai, Soumya De
Semantic information extraction from multispectral geospatial imagery via a flexible framework. IGARSS (2010)

Ranga Raju Vatsavai.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ranga Raju Vatsavai