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Raghuveer M. Rao
Raghuveer Rao – Mysore R. Raghuveer – M. R. Raghuveer
Person information
- affiliation: U.S. Army Research Laboratory, Adelphi, MD, USA
- affiliation (1987 - 2008): Rochester Institute of Technology, Henrietta, NY, USA
- affiliation (PhD): University of Connecticut, USA
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2020 – today
- 2024
- [j23]Prasanna Reddy Pulakurthi, Mahsa Mozaffari, Sohail A. Dianat, Jamison Heard, Raghuveer M. Rao, Majid Rabbani:
Enhancing GANs With MMD Neural Architecture Search, PMish Activation Function, and Adaptive Rank Decomposition. IEEE Access 12: 174222-174244 (2024) - [j22]Gani Rahmon
, Kannappan Palaniappan, Imad Eddine Toubal, Filiz Bunyak, Raghuveer Rao, Guna Seetharaman:
DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation. Int. J. Comput. Vis. 132(3): 776-804 (2024) - [j21]Shoaib Meraj Sami
Contrastive Learning and Cycle Consistency-Based Transductive Transfer Learning for Target Annotation. IEEE Trans. Aerosp. Electron. Syst. 60(2): 1628-1646 (2024) - [j20]Ruiyuan Lin
Geometrical Interpretation and Design of Multilayer Perceptrons. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2545-2559 (2024) - [c74]Jiamian Wang, Pichao Wang, Guohao Sun, Dongfang Liu, Sohail A. Dianat, Raghuveer Rao, Majid Rabbani, Zhiqiang Tao:
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CVPR 2024: 16551-16560 - [c73]Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu:
AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. ECCV (65) 2024: 431-450 - [c72]Zifan Yu, Erfan Bank Tavakoli, Meida Chen, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren:
Tokenmotion: Motion-Guided Vision Transformer for Video Camouflaged Object Detection VIA Learnable Token Selection. ICASSP 2024: 2875-2879 - [c71]Prasanna Reddy Pulakurthi
Enhancing GAN Performance Through Neural Architecture Search and Tensor Decomposition. ICASSP 2024: 7280-7284 - [c70]Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu:
Image Translation as Diffusion Visual Programmers. ICLR 2024 - [c69]Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu:
Prototypical Transformer As Unified Motion Learners. ICML 2024 - [i11]Cheng Han
Image Translation as Diffusion Visual Programmers. CoRR abs/2401.09742 (2024) - [i10]Shoaib Meraj Sami, Md Mahedi Hasan, Nasser M. Nasrabadi, Raghuveer Rao:
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation. CoRR abs/2401.12340 (2024) - [i9]Jiamian Wang, Guohao Sun, Pichao Wang, Dongfang Liu, Sohail A. Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao:
Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval. CoRR abs/2403.17998 (2024) - [i8]Cheng Han
Prototypical Transformer as Unified Motion Learners. CoRR abs/2406.01559 (2024) - [i7]Cheng Han
AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR abs/2407.04208 (2024) - 2023
- [c68]Prasanna Reddy Pulakurthi
A globally optimal fast iterative linear maximum likelihood classifier. Computational Imaging 2023: 1-5 - [c67]Zhikang Zhang, Zifan Yu, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren:
Enhanced Low-Resolution LiDAR-Camera Calibration via Depth Interpolation and Supervised Contrastive Learning. ICASSP 2023: 1-5 - [c66]Zifan Yu, Meida Chen, Zhikang Zhang, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren:
TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation. IROS 2023: 5864-5869 - [i6]Shoaib Meraj Sami
Deep Transductive Transfer Learning for Automatic Target Recognition. CoRR abs/2305.13886 (2023) - 2022
- [c65]Avijoy Chakma, Abu Zaher Md Faridee, Raghuveer Rao, Nirmalya Roy:
Semi-supervised Multi-source Domain Adaptation in Wearable Activity Recognition. DCOSS 2022: 35-44 - [i5]Zhikang Zhang, Zifan Yu, Suya You, Raghuveer Rao, Sanjeev Agarwal, Fengbo Ren:
Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning. CoRR abs/2211.03932 (2022) - 2021
- [j19]Ruiyuan Lin
On Relationship of Multilayer Perceptrons and Piecewise Polynomial Approximators. IEEE Signal Process. Lett. 28: 1813-1817 (2021) - 2020
- [c64]Shizeng Yao, Yangyang Wang, Hadi Aliakbarpour
SMVNet: Deep Learning Architectures for Accurate and Robust Multi-View Stereopsis. AIPR 2020: 1-6 - [c63]Koundinya Nouduri, Filiz Bunyak
Deep Learning Based Landmark Matching For Aerial Geolocalization. ICIP 2020: 1911-1915 - [c62]Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo
Pixelhop++: A Small Successive-Subspace-Learning-Based (Ssl-Based) Model For Image Classification. ICIP 2020: 3294-3298 - [i4]Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo:
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification. CoRR abs/2002.03141 (2020) - [i3]Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C.-C. Jay Kuo:
From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design. CoRR abs/2009.04442 (2020) - [i2]Ruiyuan Lin, Suya You, Raghuveer Rao, C.-C. Jay Kuo:
Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach. CoRR abs/2010.07871 (2020)
2010 – 2019
- 2018
- [c61]Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. FUSION 2018: 838-845 - 2017
- [c60]Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti
Interpretability of deep learning models: A survey of results. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [c59]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 Burghouts, Jasper van Huis, Adem Yasar Mülayim:
Complex event processing for content-based text, image, and video retrieval. ICMCIS 2016: 1-6 - [c58]Kannappan Palaniappan, Mahdieh Poostchi, Hadi Aliakbarpour
Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering. ICPR 2016: 2830-2835 - [c57]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Clustering-aware structure-constrained low-rank representation model for learning human action attributes. IVMSP 2016: 1-5 - [i1]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Human Action Attribute Learning From Video Data Using Low-Rank Representations. CoRR abs/1612.07857 (2016) - 2015
- [c56]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Hierarchical Union-of-Subspaces Model for Human Activity Summarization. ICCV Workshops 2015: 1053-1061 - 2014
- [j18]Honghong Peng, Raghuveer M. Rao, Sohail A. Dianat:
Multispectral Image Denoising With Optimized Vector Bilateral Filter. IEEE Trans. Image Process. 23(1): 264-273 (2014) - [c55]Prudhvi Gurram, Raghuveer M. Rao:
Entropy metric regularization for computational imaging with sensor arrays. AIPR 2014: 1-8 - 2012
- [j17]Fa-Long Luo, Ward Williams, Raghuveer M. Rao, Rajesh Narasimha, Marie-José Montpetit:
Trends in Signal Processing Applications and Industry Technology [In the Spotlight]. IEEE Signal Process. Mag. 29(1): 184- (2012) - [c54]Honghong Peng, Raghuveer M. Rao, Sohail A. Dianat:
Optimized vector bilateral filter for multispectral image denoising. ICIP 2012: 2141-2144 - [c53]Honghong Peng, Raghuveer M. Rao, Sohail A. Dianat:
Nonnegative matrix factorization with deterministic annealing for unsupervised unmixing of hyperspectral imagery. ICIP 2012: 2145-2148 - [c52]Sema Candemir
Feature prominence-based weighting scheme for video tracking. ICVGIP 2012: 25 - 2011
- [c51]Shuowen Hu, Heesung Kwon, Raghuveer Rao:
Robust classification using support vector machine in low-dimensional manifold space for automatic target recognition. AIPR 2011: 1-4 - [c50]Vishnu Vardhan Makkapati
Ontology-based malaria parasite stage and species identification from peripheral blood smear images. EMBC 2011: 6138-6141 - [c49]Kannappan Palaniappan, Ilker Ersoy, Guna Seetharaman, Shelby R. Davis, Praveen Kumar, Raghuveer M. Rao, Richard W. Linderman:
Parallel flux tensor analysis for efficient moving object detection. FUSION 2011: 1-8 - 2010
- [c48]Kannappan Palaniappan, Filiz Bunyak, Praveen Kumar, Ilker Ersoy, Stefan Jäger, Koyeli Ganguli, Anoop Haridas, Joshua Fraser, Raghuveer M. Rao, Guna Seetharaman:
Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video. FUSION 2010: 1-8 - [c47]Honghong Peng, Raghuveer M. Rao:
Bilateral kernel parameter optimization by risk minimization. ICIP 2010: 3293-3296
2000 – 2009
- 2009
- [c46]Vishnu Makkapati
Segmentation of malaria parasites in peripheral blood smear images. ICASSP 2009: 1361-1364 - [c45]James Massaro, Raghuveer M. Rao:
Ordering random object poses. ICASSP 2009: 1365-1368 - [c44]Honghong Peng, Raghuveer M. Rao:
Hyperspectral image enhancement with vector bilateral filtering. ICIP 2009: 3713-3716 - 2008
- [c43]Hongkong Peng, Raghuveer M. Rao:
Constrained optimization algorithm for digital camera-based spectrometer. ICASSP 2008: 1485-1488 - 2007
- [c42]Honghong Peng, Raghuveer M. Rao:
Image Enhancement of FOG-Impaired Scenes with Variable Visibility. ICASSP (2) 2007: 389-392 - 2006
- [j16]Bhavani Pidaparthi, Raghuveer M. Rao, Honghong Peng:
Separating linear features from textured backgrounds. J. Electronic Imaging 15(2): 023012 (2006) - [j15]Seungsin Lee, Raghuveer M. Rao:
Self-similar random field models in discrete space. IEEE Trans. Image Process. 15(1): 160-168 (2006) - [c41]Rajesh Narasimha, Raghuveer M. Rao, Sohail A. Dianat:
Finding Input Data Rates of Statistically Multiplexed Traffic. CISS 2006: 1200 - [c40]Seungsin Lee, Rajesh Narasimha, Raghuveer M. Rao:
Results on N-Dimensional Discrete Space Self-Similarity. CISS 2006: 1201-1204 - [c39]Rajesh Narasimha, Raghuveer M. Rao, Sohail A. Dianat:
Estimation of parameters of input traffic streams from statistically multiplexed output. EUSIPCO 2006: 1-5 - [c38]Pramod K. Varshney, Manoj K. Arora, Raghuveer M. Rao:
Signal Processing for Hyperspectral Data. ICASSP (5) 2006: 1181-1184 - [c37]Raghuveer M. Rao, Seungsin Lee:
A Video Processing Approach for Distance Estimation. ICASSP (3) 2006: 1192-1195 - [c36]Brandon Mikulis, Raghuveer M. Rao:
Object Labeling for 3-D Cross-Sectional Data using Trajectory Tracking. ICIP 2006: 2217-2220 - 2005
- [j14]Erhan Bayraktar
Prediction and tracking of long-range-dependent sequences. Syst. Control. Lett. 54(11): 1083-1090 (2005) - [j13]Hua-mei Chen, Seungsin Lee, Raghuveer M. Rao, Mohamed-Adel Slamani, Pramod K. Varshney:
Imaging for concealed weapon detection: a tutorial overview of development in imaging sensors and processing. IEEE Signal Process. Mag. 22(2): 52-61 (2005) - [j12]Rajesh Narasimha, Sripriya R. Bandi, Raghuveer M. Rao, Ponnathpur R. Mukund:
1/f noise synthesis model in discrete-time for circuit simulation. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(6): 1104-1114 (2005) - [c35]Raghuveer M. Rao, Braham Himed:
Constrained Optimal Interferometric Imaging of Extended Objects. AIPR 2005: 54-57 - [c34]Raghuveer M. Rao, Seungsin Lee:
Algorithms for scene restoration and visibility estimation from aerosol scatter impaired images. ICIP (1) 2005: 929-932 - [c33]Deepak Dewangan, Vincent J. Samar, Raghuveer M. Rao, Peter Paul:
Factors influencing psycophysically valid taxonomies of image texture. ICIP (3) 2005: 1196-1199 - [c32]Jason C. Tillett, T. M. Rao, Ferat Sahin, Raghuveer M. Rao:
Darwinian Particle Swarm Optimization. IICAI 2005: 1474-1487 - 2004
- [j11]Raghuveer M. Rao, Cristina Comaniciu, T. V. Lakshman, H. Vincent Poor:
Call admission control in wireless multimedia networks. IEEE Signal Process. Mag. 21(5): 51-58 (2004) - [c31]Ferat Sahin, Jason C. Tillett, Raghuveer M. Rao, T. M. Rao:
An evolutionary algorithmic approach to learning a Bayesian network from complete data. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2004: 88-99 - [c30]Seungsin Lee, Raghuveer M. Rao:
Discrete space models for self-similar random images. ICASSP (3) 2004: 281-284 - [c29]Seungsin Lee, Raghuveer M. Rao:
Scale-based formulations of statistical self-similarity in images. ICIP 2004: 2323-2326 - [c28]Rajesh Narasimha, Andreas E. Savakis, Raghuveer M. Rao, Ricardo L. de Queiroz
A neural network approach to key frame extraction. Storage and Retrieval Methods and Applications for Multimedia 2004: 439-447 - 2003
- [j10]Rajesh Narasimha, Raghuveer M. Rao:
Discrete-time self-similar systems and stable distributions: applications to VBR video modeling. IEEE Signal Process. Lett. 10(3): 65-68 (2003) - [j9]Seungsin Lee, Wei Zhao, Rajesh Narasimha, Raghuveer M. Rao:
Discrete-time models for statistically self-similar signals. IEEE Trans. Signal Process. 51(5): 1221-1230 (2003) - [c27]Bryce Tennant, Raghuveer M. Rao:
Solution to the orthogonal M-channel bandlimited wavelet construction proposition. ICASSP (6) 2003: 389-392 - [c26]Rajesh Narasimha, S. B. Rachaiah, Raghuveer M. Rao, P. R. Mukund:
1/f noise modeling using discrete-time self-similar systems. ISCAS (4) 2003: 596-599 - [c25]T. M. Rao, Raghuveer M. Rao, Ferat Sahin, Jason C. Tillett:
Evolutionary algorithms for the edge biconnectivity augmentation problem. SMC 2003: 1955-1960 - [c24]Jason C. Tillett, T. M. Rao, Raghuveer M. Rao, Ferat Sahin:
Robust recruitment near the edge of chaos and an application to mine sweeping. SMC 2003: 4582-4587 - 2002
- [c23]Rajesh Narasimha, Seungsin Lee, Raghuveer M. Rao:
Discrete-time scale invariant systems: Relation to long-range dependence and farima models. ICASSP 2002: 4170 - [c22]Seungsin Lee, Raghuveer M. Rao:
Construction of discrete-time linear scale-invariant systems using kernels. ICASSP 2002: 4173 - [c21]Seungsin Lee, Raghuveer M. Rao, Mohamed-Adel Slamani:
Noise reduction and object enhancement in passive millimeter wave concealed weapon detection. ICIP (1) 2002: 509-512 - 2001
- [c20]Seungsin Lee, Raghuveer M. Rao, Rajesh Narasimha:
Characterization of self-similarity properties of discrete-time linear scale-invariant systems. ICASSP 2001: 3969-3972 - 2000
- [j8]Ajit S. Bopardikar, Raghuveer M. Rao, B. Suryanarayana Adiga:
Matched sampling systems, relation to wavelets and implementation using PRCC filter banks. IEEE Trans. Signal Process. 48(8): 2269-2278 (2000) - [j7]Joseph O. Chapa, Raghuveer M. Rao:
Algorithms for designing wavelets to match a specified signal. IEEE Trans. Signal Process. 48(12): 3395-3406 (2000) - [c19]Ajit S. Bopardikar, Raghuveer M. Rao:
Optimal filters for multidimensional sampling and reconstruction of image classes. ICASSP 2000: 344-347
1990 – 1999
- 1999
- [c18]Wei Zhao, Raghuveer M. Rao:
A discrete-time wavelet transform based on a continuous dilation framework. ICASSP 1999: 1201-1204 - [c17]Mohamed-Adel Slamani, Pramod K. Varshney, Raghuveer M. Rao, Mark G. Alford, David Ferris:
Image Processing Tools for the Enhancement of Concealed Weapon Detection. ICIP (3) 1999: 518-522 - [c16]Ajit S. Bopardikar, Raghuveer M. Rao:
Sampling Systems Matched to the Input Image Class. ICIP (2) 1999: 919-923 - 1998
- [c15]Wei Zhao, Raghuveer M. Rao:
Continuous-dilation discrete-time self-similar signals and linear scale-invariant systems. ICASSP 1998: 1549-1552 - 1997
- [b1]Raghuveer M. Rao, Ajit S. Bopardikar:
Wavelet transforms - introduction to theory and applications. Addison-Wesley-Longman 1997, ISBN 978-0-201-63463-1, pp. I-XIII, 1-310 - [c14]James P. LeBlanc, Mysore R. Raghuveer:
Wavelet transform based detection of photon-limited and low contrast objects. ICASSP 1997: 3657-3660 - [c13]Ajit S. Bopardikar, Mysore R. Raghuveer, B. Suryanarayana Adiga:
Perfect reconstruction circular convolution filter banks and their application to the implementation of bandlimited discrete wavelet transforms. ICASSP 1997: 3665-3668 - 1996
- [c12]Vincent J. Samar, Henri Begleiter, Joseph O. Chapa, M. R. Raghuveer, M. Orlando, D. Chorlian:
Matched Meyer neural wavelets for clinical and experimental analysis of auditory and visual evoked potentials. EUSIPCO 1996: 1 - [c11]Mysore R. Raghuveer, Joseph O. Chapa:
Design of biorthogonal MRA generating wavelets matched to specified signal. ICASSP 1996: 2591-2593 - [c10]Joseph O. Chapa, Raghuveer M. Rao:
Matched wavelets-their construction, and application to object detection. ICASSP 1996: 2987-2989 - 1995
- [j6]M. R. Raghuveer:
Third-order statistics: issue of PDF symmetry. IEEE Trans. Signal Process. 43(7): 1736-1738 (1995) - [c9]Anamitru Makur, Mysore R. Raghuveer:
Digital image halftoning by noise thresholding. ICASSP 1995: 2535-2538 - 1992
- [c8]Raghuveer M. Rao, Sohail A. Dianat:
Cross-bispectrum computation for multichannel quadratic phase coupling estimation. ICASSP 1992: 461-464 - 1991
- [j5]Weixin Zhang, Mysore R. Raghuveer:
Nonparametric bispectrum-based time-delay estimators for multiple sensor data. IEEE Trans. Signal Process. 39(3): 770-774 (1991) - [c7]M. R. Raghuveer, S. Wear, J. Song:
Restoration of speckle-degraded images using bispectra. ICASSP 1991: 3077-3079 - 1990
- [j4]Gopal Sundaramoorthy, Raghuveer M. Rao, Sohail A. Dianat:
Bispectral reconstruction of signals in noise: amplitude reconstruction issues. IEEE Trans. Acoust. Speech Signal Process. 38(7): 1297-1306 (1990) - [c6]Sohail A. Dianat, Raghuveer M. Rao:
Fast algorithms for bispectral reconstruction of two-dimensional signals. ICASSP 1990: 2377-2379
1980 – 1989
- 1989
- [j3]Raghuveer M. Rao, Sohail A. Dianat:
On the existence of autoregressive models for third-order cumulant matching. IEEE Trans. Acoust. Speech Signal Process. 37(12): 1931-1938 (1989) - [c5]Sohail A. Dianat, M. R. Raghuveer:
Bispectrum phase transformation for non-minimum phase signal reconstruction. ICASSP 1989: 1275-1277 - [c4]Sohail A. Dianat, M. R. Raghuveer:
Polyspectral factorization: necessary and sufficient condition for finite extent cumulant sequences. ICASSP 1989: 2322-2324 - 1987
- [j2]Chrysostomos L. Nikias, Mysore R. Raghuveer:
Bispectrum estimation: A digital signal processing framework. Proc. IEEE 75(7): 869-891 (1987) - 1985
- [j1]Raghuveer M. Rao, Chrysostomos L. Nikias:
Bispectrum estimation: A parametric approach. IEEE Trans. Acoust. Speech Signal Process. 33(5): 1213-1230 (1985) - [c3]Mysore R. Raghuveer, Chrysostomos L. Nikias:
Bispectrum estimation for short length data. ICASSP 1985: 1352-1355 - 1984
- [c2]Mysore R. Raghuveer, Chrysostomos L. Nikias:
A parametric approach to bispectrum estimation. ICASSP 1984: 120-123 - 1983
- [c1]Chrysostomos L. Nikias, Mysore R. Raghuveer:
A new class of high-resolution and robust multi-dimensional spectral estimation algorithms. ICASSP 1983: 859-862
Coauthor Index
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