Anand Rangarajan

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 101

Top Venues

CoRR

VEHITS

ITSC

IEEE Trans. Image Process.

Publications

Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR (2024)
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. DCC (2024)
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
Toward Improving the Generation Quality of Autoregressive Slot VAEs. Neural Comput. 36 (5) (2024)
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Machine Learning Techniques for Data Reduction of Climate Applications. CoRR (2024)
Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. CoRR (2024)
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR (2024)
Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
Machine Learning Techniques for Data Reduction of CFD Applications. CoRR (2024)
Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC (2024)
Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. IEEE Trans. Intell. Transp. Syst. 25 (7) (2024)
Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
MTDT: A Multi-Task Deep Learning Digital Twin. CoRR (2024)
Aotian Wu, Tania Banerjee, Ke Chen, Anand Rangarajan, Sanjay Ranka
A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety. ITSC (2023)
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators. IC3 (2023)
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression. DCC (2023)
Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. CoRR (2023)
Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications. CoRR (2023)
Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. VEHITS (2023)
Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications. ITSC (2023)
Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science (2023)
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Fast Algorithms for Scientific Data Compression. HiPC (2023)
Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, James Dika, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
Using DSRC Road-Side Unit Data to Derive Braking Behavior. VEHITS (2023)
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders. IC3 (2023)
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX 24 (2023)
Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science (2023)
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. CoRR (2022)
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
Learning Scene Dynamics from Point Cloud Sequences. Int. J. Comput. Vis. 130 (3) (2022)
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations. CoRR (2022)
Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM (2022)
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. HIPC (2022)
Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka
Machine-Learning-Based Real-Time Multi-Camera Vehicle Tracking and Travel-Time Estimation. J. Imaging 8 (4) (2022)
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. AAAI (2022)
Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Tania Banerjee, Ke Chen, Alejandro Almaraz, Rahul Sengupta, Yashaswi Karnati, Bryce Grame, Emmanuel Posadas, Subhadipto Poddar, Robert Schenck, Jeremy Dilmore, Siva Srinivasan, Anand Rangarajan, Sanjay Ranka
A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. ITSC (2022)
Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Scalable Hybrid Learning Techniques for Scientific Data Compression. CoRR (2022)
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
Slot Order Matters for Compositional Scene Understanding. CoRR (2022)
Abdullah Almutairi, Pan He, Anand Rangarajan, Sanjay Ranka
Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks. Int. J. Intell. Transp. Syst. Res. 20 (2) (2022)
Anand Rangarajan, Pan He, Jaemoon Lee, Tania Banerjee, Sanjay Ranka
Expressing linear equality constraints in feedforward neural networks. CoRR (2022)
George Worrall, Anand Rangarajan, Jasmeet Judge
Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation. Remote. Sens. 13 (22) (2021)
Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. VEHITS (2021)
Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. ITSC (2021)
Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan
Hybrid Generative Models for Two-Dimensional Datasets. CoRR (2021)
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. ICML (2021)
Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
Learning Scene Dynamics from Point Cloud Sequences. CoRR (2021)
Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka
Truck and Trailer Classification With Deep Learning Based Geometric Features. IEEE Trans. Intell. Transp. Syst. 22 (12) (2021)
George Worrall, Anand Rangarajan, Jasmeet Judge
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation. CoRR (2021)
Ke Chen, Tania Banerjee, Xiaohui Huang, Zhaowen Ding, Naga Venkata Sai Varanasi, Anand Rangarajan, Sanjay Ranka
A web-based visual analytics system for traffic intersection datasets. Int. J. Big Data Intell. 8 (1) (2021)
Aotian Wu, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
Trajectory Prediction via Learning Motion Cluster Patterns in Curvilinear Coordinates. ITSC (2021)
Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan
Hybrid Generative Models for Two-Dimensional Datasets. ICANN (2) (2021)
Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. CoRR (2021)
Dhruv Mahajan, Yashaswi Karnati, Jeremy Dilmore, Anand Rangarajan, Sanjay Ranka
An Automated Framework for Deriving Intersection Coordination Plans. ITSC (2021)
Pan He, Aotian Wu, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
Video-based Machine Learning System for Commodity Classification. VEHITS (2020)
Ke Chen, Tania Banerjee, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
A Visual Analytics System for Processed Videos from Traffic Intersections. VEHITS (2020)
Xiaohui Huang, Tania Banerjee, Ke Chen, Naga Venkata Sai Varanasi, Anand Rangarajan, Sanjay Ranka
Machine Learning based Video Processing for Real-time Near-Miss Detection. VEHITS (2020)
Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka
Intelligent Intersection: Two-stream Convolutional Networks for Real-time Near-accident Detection in Traffic Video. ACM Trans. Spatial Algorithms Syst. 6 (2) (2020)
Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
SparsePipe: Parallel Deep Learning for 3D Point Clouds. CoRR (2020)
Hoda Shajari, Anand Rangarajan
A Unified Framework for Multiclass and Multilabel Support Vector Machines. CoRR (2020)
Dhruv Mahajan, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets. ITSC (2020)
Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
SparsePipe: Parallel Deep Learning for 3D Point Clouds. HiPC (2020)
Yashaswi Karnati, Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka
Data Mining Algorithms for Traffic Interruption Detection. VEHITS (2020)
Yashaswi Karnati, Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka
Machine Learning Algorithms for Traffic Interruption Detection. FMEC (2020)
Tania Banerjee, Xiaohui Huang, Ke Chen, Anand Rangarajan, Sanjay Ranka
Clustering Object Trajectories for Intersection Traffic Analysis. VEHITS (2020)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 58 (5) (2020)
Dhruv Mahajan, Tania Banerjee, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs. VEHITS (2020)
Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, Anand Rangarajan, Sanjay Ranka
A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions. ITSC (2020)
Dhruv Mahajan, Yashaswi Karnati, Tania Banerjee, Varun Reddy Regalla, Rohit Reddy, Anand Rangarajan, Sanjay Ranka
A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets. ITSC (2020)
Mark Moyou, Anand Rangarajan, John Corring, Adrian M. Peter
A Grassmannian Graph Approach to Affine Invariant Feature Matching. IEEE Trans. Image Process. 29 (2020)
Dhruv Mahajan, Tania Banerjee, Anand Rangarajan, Nithin Agarwal, Jeremy Dilmore, Emmanuel Posadas, Sanjay Ranka
Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections. VEHITS (2019)
Tania Banerjee, Ke Chen, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
A Multi-sensor System for Traffic Analysis at Smart Intersections. IC3 (2019)
Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka
Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video. CoRR (2019)
Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka
Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos. ITSC (2019)
Chengliang Yang, Anand Rangarajan, Sanjay Ranka
Global Model Interpretation Via Recursive Partitioning. HPCC/SmartCity/DSS (2018)
Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka
Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture. IEEE Trans. Geosci. Remote. Sens. 56 (3) (2018)
Trevor Herntier, Koffi Eddy Ihou, Anthony O. Smith, Anand Rangarajan, Adrian M. Peter
Spherical Minimum Description Length. Entropy 20 (8) (2018)
Chengliang Yang, Anand Rangarajan, Sanjay Ranka
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. AMIA (2018)
Chengliang Yang, Anand Rangarajan, Sanjay Ranka
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. CoRR (2018)
Xiaohui Huang, Chengliang Yang, Sanjay Ranka, Anand Rangarajan
Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing. IPSJ Trans. Comput. Vis. Appl. 10 (2018)
Yupeng Yan, Anand Rangarajan, Sanjay Ranka
An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification. ICPR (2018)
Yupeng Yan, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
Densely Labeling Large-Scale Satellite Images with Generative Adversarial Networks. DASC/PiCom/DataCom/CyberSciTech (2018)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. IEEE Trans. Image Process. 27 (5) (2018)
Chengliang Yang, Anand Rangarajan, Sanjay Ranka
Global Model Interpretation via Recursive Partitioning. CoRR (2018)
Birmingham H. Guan, Anand Rangarajan
Image Stacks as Parametric Surfaces: Application to Image Registration. IEEE Trans. Image Process. 27 (12) (2018)
Subit Chakrabarti, Pang-Wei Liu, Jasmeet Judge, Anand Rangarajan, Roger D. De Roo, Rajat Bindlish, Andreas Colliander, Sidharth Misra, Scott Tripp, Barron Latham, Ross Williamson, Isaac Ramos, Thomas J. Jackson, Anthony W. England, Sanjay Ranka, Simon Yueh
A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions. 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)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Gaussian mixture model representation of endmember variability in hyperspectral unmixing. CoRR (2017)
Yupeng Yan, Manu Sethi, Anand Rangarajan, Sanjay Ranka
Super-Scalable Computation Framework for Automated Terrain Identification. DASC/PiCom/DataCom/CyberSciTech (2017)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. CVPR Workshops (2017)
Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka
Utilizing Self-Regularized Regressive Models to Downscale Microwave Brightness Temperatures for Agricultural Land Covers in the SMAPVEX-12 Region. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10 (2) (2017)
Chengliang Yang, Manu Sethi, Anand Rangarajan, Sanjay Ranka
Supervoxel-Based Segmentation of 3D Volumetric Images. ACCV (1) (2016)
Sibel Tari, Luminita A. Vese, Anand Rangarajan
Guest Editorial: Shape Analysis Beyond the Eikonal Equation. J. Math. Imaging Vis. 55 (2) (2016)
John Corring, Anand Rangarajan
Resonant Deformable Matching: Simultaneous Registration and Reconstruction. ECCV (6) (2016)
Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning. CoRR (2016)
Yan Deng, Anand Rangarajan, Baba C. Vemuri
Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases. ISBI (2016)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Gaussian mixture model representation of endmember variability for spectral unmixing. WHISPERS (2016)
Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes Using Holistic Structure-Based Models. IEEE Trans. Geosci. Remote. Sens. 54 (8) (2016)
Anthony O. Smith, Anand Rangarajan
A Category Space Approach to Supervised Dimensionality Reduction. CoRR (2016)
Birmingham H. Guan, John Corring, Manu Sethi, Sanjay Ranka, Anand Rangarajan
Image stack surface area minimization for groupwise and multimodal affine registration. ICPR (2016)
Mark Moyou, John Corring, Adrian M. Peter, Anand Rangarajan
A Grassmannian Graph Approach to Affine Invariant Feature Matching. CoRR (2016)
Yuan Zhou, Anand Rangarajan, Paul D. Gader
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. IEEE Trans. Image Process. 25 (12) (2016)
Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines. CoRR (2016)

Anand Rangarajan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Anand Rangarajan