A new class of high-resolution and robust multi-dimensional spectral estimation algorithms. - Chrysostomos L. Nikias; Mysore R. Raghuveer (ICASSP, 1983)

A parametric approach to bispectrum estimation. - Mysore R. Raghuveer; Chrysostomos L. Nikias (ICASSP, 1984)

Bispectrum estimation for short length data. - Mysore R. Raghuveer; Chrysostomos L. Nikias (ICASSP, 1985)

Bispectrum estimation: A parametric approach. - Raghuveer M. Rao; Chrysostomos L. Nikias (IEEE Trans. Acoust. Speech Signal Process., 1985)

Bispectrum estimation: A digital signal processing framework. - Chrysostomos L. Nikias; Mysore R. Raghuveer (Proc. IEEE, 1987)

Bispectrum phase transformation for non-minimum phase signal reconstruction. - Sohail A. Dianat; M. R. Raghuveer (ICASSP, 1989)

Polyspectral factorization: necessary and sufficient condition for finite extent cumulant sequences. - Sohail A. Dianat; M. R. Raghuveer (ICASSP, 1989)

On the existence of autoregressive models for third-order cumulant matching. - Raghuveer M. Rao; Sohail A. Dianat (IEEE Trans. Acoust. Speech Signal Process., 1989)

Fast algorithms for bispectral reconstruction of two-dimensional signals. - Sohail A. Dianat; Raghuveer M. Rao (ICASSP, 1990)

Bispectral reconstruction of signals in noise: amplitude reconstruction issues. - Gopal Sundaramoorthy; Raghuveer M. Rao; Sohail A. Dianat (IEEE Trans. Acoust. Speech Signal Process., 1990)

Restoration of speckle-degraded images using bispectra. - M. R. Raghuveer; S. Wear; J. Song (ICASSP, 1991)

Nonparametric bispectrum-based time-delay estimators for multiple sensor data. - Weixin Zhang; Mysore R. Raghuveer (IEEE Trans. Signal Process., 1991)

Cross-bispectrum computation for multichannel quadratic phase coupling estimation. - Raghuveer M. Rao; Sohail A. Dianat (ICASSP, 1992)

Digital image halftoning by noise thresholding. - Anamitru Makur; Mysore R. Raghuveer (ICASSP, 1995)

Third-order statistics: issue of PDF symmetry. - M. R. Raghuveer (IEEE Trans. Signal Process., 1995)

Matched Meyer neural wavelets for clinical and experimental analysis of auditory and visual evoked potentials. - Vincent J. Samar; Henri Begleiter; Joseph O. Chapa; M. R. Raghuveer; M. Orlando; D. Chorlian (EUSIPCO, 1996)

Matched wavelets-their construction, and application to object detection. - Joseph O. Chapa; Raghuveer M. Rao (ICASSP, 1996)

Design of biorthogonal MRA generating wavelets matched to specified signal. - Mysore R. Raghuveer; Joseph O. Chapa (ICASSP, 1996)

Wavelet transforms - introduction to theory and applications. - Raghuveer M. Rao; Ajit S. Bopardikar (Addison-Wesley-Longman, 1997)

Perfect reconstruction circular convolution filter banks and their application to the implementation of bandlimited discrete wavelet transforms. - Ajit S. Bopardikar; Mysore R. Raghuveer; B. Suryanarayana Adiga (ICASSP, 1997)

Wavelet transform based detection of photon-limited and low contrast objects. - James P. LeBlanc; Mysore R. Raghuveer (ICASSP, 1997)

Continuous-dilation discrete-time self-similar signals and linear scale-invariant systems. - Wei Zhao; Raghuveer M. Rao (ICASSP, 1998)

A discrete-time wavelet transform based on a continuous dilation framework. - Wei Zhao; Raghuveer M. Rao (ICASSP, 1999)

Sampling Systems Matched to the Input Image Class. - Ajit S. Bopardikar; Raghuveer M. Rao (ICIP (2), 1999)

Image Processing Tools for the Enhancement of Concealed Weapon Detection. - Mohamed-Adel Slamani; Pramod K. Varshney; Raghuveer M. Rao; Mark G. Alford; David Ferris (ICIP (3), 1999)

Optimal filters for multidimensional sampling and reconstruction of image classes. - Ajit S. Bopardikar; Raghuveer M. Rao (ICASSP, 2000)

Matched sampling systems, relation to wavelets and implementation using PRCC filter banks. - Ajit S. Bopardikar; Raghuveer M. Rao; B. Suryanarayana Adiga (IEEE Trans. Signal Process., 2000)

Algorithms for designing wavelets to match a specified signal. - Joseph O. Chapa; Raghuveer M. Rao (IEEE Trans. Signal Process., 2000)

Characterization of self-similarity properties of discrete-time linear scale-invariant systems. - Seungsin Lee; Raghuveer M. Rao; Rajesh Narasimha (ICASSP, 2001)

Construction of discrete-time linear scale-invariant systems using kernels. - Seungsin Lee; Raghuveer M. Rao (ICASSP, 2002)

Discrete-time scale invariant systems: Relation to long-range dependence and farima models. - Rajesh Narasimha; Seungsin Lee; Raghuveer M. Rao (ICASSP, 2002)

Noise reduction and object enhancement in passive millimeter wave concealed weapon detection. - Seungsin Lee; Raghuveer M. Rao; Mohamed-Adel Slamani (ICIP (1), 2002)

Solution to the orthogonal M-channel bandlimited wavelet construction proposition. - Bryce Tennant; Raghuveer M. Rao (ICASSP (6), 2003)

1/f noise modeling using discrete-time self-similar systems. - Rajesh Narasimha; S. B. Rachaiah; Raghuveer M. Rao; P. R. Mukund (ISCAS (4), 2003)

Evolutionary algorithms for the edge biconnectivity augmentation problem. - T. M. Rao; Raghuveer M. Rao; Ferat Sahin; Jason C. Tillett (SMC, 2003)

Robust recruitment near the edge of chaos and an application to mine sweeping. - Jason C. Tillett; T. M. Rao; Raghuveer M. Rao; Ferat Sahin (SMC, 2003)

Discrete-time self-similar systems and stable distributions: applications to VBR video modeling. - Rajesh Narasimha; Raghuveer M. Rao (IEEE Signal Process. Lett., 2003)

Discrete-time models for statistically self-similar signals. - Seungsin Lee; Wei Zhao; Rajesh Narasimha; Raghuveer M. Rao (IEEE Trans. Signal Process., 2003)

An evolutionary algorithmic approach to learning a Bayesian network from complete data. - Ferat Sahin; Jason C. Tillett; Raghuveer M. Rao; T. M. Rao (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Discrete space models for self-similar random images. - Seungsin Lee; Raghuveer M. Rao (ICASSP (3), 2004)

Scale-based formulations of statistical self-similarity in images. - Seungsin Lee; Raghuveer M. Rao (ICIP, 2004)

A neural network approach to key frame extraction. - Rajesh Narasimha; Andreas E. Savakis; Raghuveer M. Rao; Ricardo L. de Queiroz (Storage and Retrieval Methods and Applications for Multimedia, 2004)

Call admission control in wireless multimedia networks. - Raghuveer M. Rao; Cristina Comaniciu; T. V. Lakshman; H. Vincent Poor (IEEE Signal Process. Mag., 2004)

Constrained Optimal Interferometric Imaging of Extended Objects. - Raghuveer M. Rao; Braham Himed (AIPR, 2005)

Factors influencing psycophysically valid taxonomies of image texture. - Deepak Dewangan; Vincent J. Samar; Raghuveer M. Rao; Peter Paul (ICIP (3), 2005)

Algorithms for scene restoration and visibility estimation from aerosol scatter impaired images. - Raghuveer M. Rao; Seungsin Lee (ICIP (1), 2005)

Darwinian Particle Swarm Optimization. - Jason C. Tillett; T. M. Rao; Ferat Sahin; Raghuveer M. Rao (IICAI, 2005)

Prediction and tracking of long-range-dependent sequences. - Erhan Bayraktar; H. Vincent Poor; Raghuveer M. Rao (Syst. Control. Lett., 2005)

Imaging for concealed weapon detection: a tutorial overview of development in imaging sensors and processing. - Hua-mei Chen; Seungsin Lee; Raghuveer M. Rao; Mohamed-Adel Slamani; Pramod K. Varshney (IEEE Signal Process. Mag., 2005)

1/f noise synthesis model in discrete-time for circuit simulation. - Rajesh Narasimha; Sripriya R. Bandi; Raghuveer M. Rao; Ponnathpur R. Mukund (IEEE Trans. Circuits Syst. I Regul. Pap., 2005)

Results on N-Dimensional Discrete Space Self-Similarity. - Seungsin Lee; Rajesh Narasimha; Raghuveer M. Rao (CISS, 2006)

Finding Input Data Rates of Statistically Multiplexed Traffic. - Rajesh Narasimha; Raghuveer M. Rao; Sohail A. Dianat (CISS, 2006)

Estimation of parameters of input traffic streams from statistically multiplexed output. - Rajesh Narasimha; Raghuveer M. Rao; Sohail A. Dianat (EUSIPCO, 2006)

A Video Processing Approach for Distance Estimation. - Raghuveer M. Rao; Seungsin Lee (ICASSP (3), 2006)

Signal Processing for Hyperspectral Data. - Pramod K. Varshney; Manoj K. Arora; Raghuveer M. Rao (ICASSP (5), 2006)

Object Labeling for 3-D Cross-Sectional Data using Trajectory Tracking. - Brandon Mikulis; Raghuveer M. Rao (ICIP, 2006)

Separating linear features from textured backgrounds. - Bhavani Pidaparthi; Raghuveer M. Rao; Honghong Peng (J. Electronic Imaging, 2006)

Self-similar random field models in discrete space. - Seungsin Lee; Raghuveer M. Rao (IEEE Trans. Image Process., 2006)

Image Enhancement of FOG-Impaired Scenes with Variable Visibility. - Honghong Peng; Raghuveer M. Rao (ICASSP (2), 2007)

Constrained optimization algorithm for digital camera-based spectrometer. - Hongkong Peng; Raghuveer M. Rao (ICASSP, 2008)

Segmentation of malaria parasites in peripheral blood smear images. - Vishnu Makkapati; Raghuveer M. Rao (ICASSP, 2009)

Ordering random object poses. - James Massaro; Raghuveer M. Rao (ICASSP, 2009)

Hyperspectral image enhancement with vector bilateral filtering. - Honghong Peng; Raghuveer M. Rao (ICIP, 2009)

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video. - Kannappan Palaniappan; Filiz Bunyak; Praveen Kumar; Ilker Ersoy; Stefan Jäger 001; Koyeli Ganguli; Anoop Haridas; Joshua Fraser; Raghuveer M. Rao; Guna Seetharaman (FUSION, 2010)

Bilateral kernel parameter optimization by risk minimization. - Honghong Peng; Raghuveer M. Rao (ICIP, 2010)

Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition. - Shuowen Hu; Heesung Kwon; Raghuveer Rao (AIPR, 2011)

Ontology-based malaria parasite stage and species identification from peripheral blood smear images. - Vishnu Vardhan Makkapati; Raghuveer M. Rao (EMBC, 2011)

Parallel flux tensor analysis for efficient moving object detection. - Kannappan Palaniappan; Ilker Ersoy; Guna Seetharaman; Shelby R. Davis; Praveen Kumar; Raghuveer M. Rao; Richard W. Linderman (FUSION, 2011)

Optimized vector bilateral filter for multispectral image denoising. - Honghong Peng; Raghuveer M. Rao; Sohail A. Dianat (ICIP, 2012)

Nonnegative matrix factorization with deterministic annealing for unsupervised unmixing of hyperspectral imagery. - Honghong Peng; Raghuveer M. Rao; Sohail A. Dianat (ICIP, 2012)

Feature prominence-based weighting scheme for video tracking. - Sema Candemir; Kannappan Palaniappan; Filiz Bunyak; Raghuveer M. Rao; Guna Seetharaman (ICVGIP, 2012)

Trends in Signal Processing Applications and Industry Technology [In the Spotlight]. - Fa-Long Luo; Ward Williams; Raghuveer M. Rao; Rajesh Narasimha; Marie-José Montpetit (IEEE Signal Process. Mag., 2012)

Entropy metric regularization for computational imaging with sensor arrays. - Prudhvi Gurram; Raghuveer M. Rao (AIPR, 2014)

Multispectral Image Denoising With Optimized Vector Bilateral Filter. - Honghong Peng; Raghuveer M. Rao; Sohail A. Dianat (IEEE Trans. Image Process., 2014)

Hierarchical Union-of-Subspaces Model for Human Activity Summarization. - Tong Wu 008; Prudhvi Gurram; Raghuveer M. Rao; Waheed U. Bajwa (ICCV Workshops, 2015)

Complex event processing for content-based text, image, and video retrieval. - Elizabeth K. Bowman; Barbara D. Broome; V. Melissa Holland; Douglas Summers-Stay; Raghuveer M. Rao; John Duselis; Jonathan Howe; Bhopinder K. Madahar; Anne-Claire Boury-Brisset; Bruce Forrester; Peter Kwantes; Gertjan J. Burghouts; et al. (ICMCIS, 2016)

Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering. - Kannappan Palaniappan; Mahdieh Poostchi; Hadi Aliakbarpour; Raphael Viguier; Joshua Fraser; Filiz Bunyak; Arslan Basharat; Steve Suddarth; Erik Blasch; Raghuveer M. Rao; Guna Seetharaman (ICPR, 2016)

Clustering-aware structure-constrained low-rank representation model for learning human action attributes. - Tong Wu 008; Prudhvi Gurram; Raghuveer M. Rao; Waheed U. Bajwa (IVMSP, 2016)

Human Action Attribute Learning From Video Data Using Low-Rank Representations. - Tong Wu 008; Prudhvi Gurram; Raghuveer M. Rao; Waheed U. Bajwa (CoRR, 2016)

Interpretability of deep learning models: A survey of results. - Supriyo Chakraborty; Richard Tomsett; Ramya Raghavendra; Daniel Harborne; Moustafa Alzantot; Federico Cerutti 001; Mani B. Srivastava; Alun D. Preece; Simon Julier; Raghuveer M. Rao; Troy D. Kelley; Dave Braines; et al. (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. - Richard Tomsett; Amy Widdicombe; Tianwei Xing; Supriyo Chakraborty; Simon Julier; Prudhvi Gurram; Raghuveer M. Rao; Mani B. Srivastava (FUSION, 2018)

SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis. - Shizeng Yao; Yangyang Wang; Hadi Aliakbarpour; Guna Seetharaman; Raghuveer M. Rao; Kannappan Palaniappan (AIPR, 2020)

Pixelhop++: A Small Successive-Subspace-Learning-Based (Ssl-Based) Model For Image Classification. - Yueru Chen; Mozhdeh Rouhsedaghat; Suya You; Raghuveer Rao; C.-C. Jay Kuo (ICIP, 2020)

Deep Learning Based Landmark Matching For Aerial Geolocalization. - Koundinya Nouduri; Filiz Bunyak; Shizeng Yao; Hadi Aliakbarpour; Sanjeev Agarwal; Raghuveer M. Rao; Kannappan Palaniappan (ICIP, 2020)

From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design. - Ruiyuan Lin; Zhiruo Zhou; Suya You; Raghuveer Rao; C.-C. Jay Kuo (CoRR, 2020)

Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach. - Ruiyuan Lin; Suya You; Raghuveer Rao; C.-C. Jay Kuo (CoRR, 2020)

On Relationship of Multilayer Perceptrons and Piecewise Polynomial Approximators. - Ruiyuan Lin; Suya You; Raghuveer Rao; C.-C. Jay Kuo (IEEE Signal Process. Lett., 2021)

Semi-supervised Multi-source Domain Adaptation in Wearable Activity Recognition. - Avijoy Chakma; Abu Zaher Md Faridee; Raghuveer Rao; Nirmalya Roy (DCOSS, 2022)

A globally optimal fast iterative linear maximum likelihood classifier. - Prasanna Reddy Pulakurthi; Sohail A. Dianat; Majid Rabbani; Suya You; Raghuveer M. Rao (Computational Imaging, 2023)

Enhanced Low-Resolution LiDAR-Camera Calibration via Depth Interpolation and Supervised Contrastive Learning. - Zhikang Zhang; Zifan Yu; Suya You; Raghuveer Rao; Sanjeev Agarwal; Fengbo Ren (ICASSP, 2023)

TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation. - Zifan Yu; Meida Chen; Zhikang Zhang; Suya You; Raghuveer Rao; Sanjeev Agarwal; Fengbo Ren (IROS, 2023)

Deep Transductive Transfer Learning for Automatic Target Recognition. - Shoaib Meraj Sami; Nasser M. Nasrabadi; Raghuveer Rao (CoRR, 2023)

Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. - Jiamian Wang; Pichao Wang; Guohao Sun; Dongfang Liu; Sohail A. Dianat; Raghuveer Rao; Majid Rabbani; Zhiqiang Tao (CVPR, 2024)

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. - Cheng Han 001; Qifan Wang 001; Sohail A. Dianat; Majid Rabbani; Raghuveer M. Rao; Yi Fang 008; Qiang Guan; Lifu Huang; Dongfang Liu (ECCV (65), 2024)

Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition. - Prasanna Reddy Pulakurthi; Mahsa Mozaffari; Sohail A. Dianat; Majid Rabbani; Jamison Heard; Raghuveer Rao (ICASSP, 2024)

Tokenmotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection VIA Learnable Token Selection. - Zifan Yu; Erfan Bank Tavakoli; Meida Chen; Suya You; Raghuveer Rao; Sanjeev Agarwal; Fengbo Ren (ICASSP, 2024)

Image Translation as Diffusion Visual Programmers. - Cheng Han 001; James Chenhao Liang; Qifan Wang 001; Majid Rabbani; Sohail A. Dianat; Raghuveer Rao; Ying Nian Wu; Dongfang Liu (ICLR, 2024)

Prototypical Transformer As Unified Motion Learners. - Cheng Han 001; Yawen Lu; Guohao Sun; James Chenhao Liang; Zhiwen Cao; Qifan Wang 001; Qiang Guan; Sohail A. Dianat; Raghuveer Rao; Tong Geng; Zhiqiang Tao; Dongfang Liu (ICML, 2024)

Diffusion-Inspired Truncated Sampler for Text-Video Retrieval. - Jiamian Wang; Pichao Wang; Dongfang Liu; Qiang Guan; Sohail A. Dianat; Majid Rabbani; Raghuveer Rao; Zhiqiang Tao (NeurIPS, 2024)

Enhancing GANs With MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition. - Prasanna Reddy Pulakurthi; Mahsa Mozaffari; Sohail A. Dianat; Jamison Heard; Raghuveer M. Rao; Majid Rabbani (IEEE Access, 2024)

Improving Object Detection by Modifying Synthetic Data with Explainable AI. - Nitish Mital; Simon Malzard; Richard Walters; Celso M. de Melo; Raghuveer Rao; Victoria Nockles (CoRR, 2024)

DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation. - Gani Rahmon; Kannappan Palaniappan; Imad Eddine Toubal; Filiz Bunyak; Raghuveer Rao; Guna Seetharaman (Int. J. Comput. Vis., 2024)

Contrastive Learning and Cycle Consistency-Based Transductive Transfer Learning for Target Annotation. - Shoaib Meraj Sami; Md Mahedi Hasan; Nasser M. Nasrabadi; Raghuveer Rao (IEEE Trans. Aerosp. Electron. Syst., 2024)

Geometrical Interpretation and Design of Multilayer Perceptrons. - Ruiyuan Lin; Zhiruo Zhou; Suya You; Raghuveer Rao; C.-C. Jay Kuo (IEEE Trans. Neural Networks Learn. Syst., 2024)

Re-Imagining Multimodal Instruction Tuning: A Representation View. - Yiyang Liu 003; James Chenhao Liang; Ruixiang Tang; Yugyung Lee; Majid Rabbani; Sohail A. Dianat; Raghuveer Rao; Lifu Huang; Dongfang Liu; Qifan Wang 001; Cheng Han 001 (ICLR, 2025)

FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multi-Sensor Target Classification. - Shoaib Meraj Sami; Md Mahedi Hasan; Nasser M. Nasrabadi; Raghuveer Rao (CoRR, 2025)

Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data. - Prasanna Reddy Pulakurthi; Majid Rabbani; Celso M. de Melo; Sohail A. Dianat; Raghuveer M. Rao (CoRR, 2025)

SHARDeg: A Benchmark for Skeletal Human Action Recognition in Degraded Scenarios. - Simon Malzard; Nitish Mital; Richard Walters; Victoria Nockles; Raghuveer Rao; Celso M. de Melo (CoRR, 2025)

Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation. - Prasanna Reddy Pulakurthi; Majid Rabbani; Jamison Heard; Sohail A. Dianat; Celso M. de Melo; Raghuveer Rao (CoRR, 2025)

FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multisensor Target Classification. - Shoaib Meraj Sami; Md Mahedi Hasan; Nasser M. Nasrabadi; Raghuveer Rao (IEEE Trans. Aerosp. Electron. Syst., 2025)