Anil Kumar Sao

发表

CNN based segmentation of nuclei in PAP-smear images with selective pre-processing

Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao, 2018, Medical Imaging.

A fully integrated 2×2 b/g and 1×2 a-band MIMO WLAN SoC in 45nm CMOS for multi-radio IC

Rakesh Kumar, Vikram Jayaram, Anil Kumar Sao, 2013, 2013 IEEE International Solid-State Circuits Conference Digest of Technical Papers.

A CNN Based HEp-2 Specimen Image Segmentation and Identification of Mitotic Spindle Type Specimens

Arnav Bhavsar, Anil Kumar Sao, Krati Gupta, 2019, CAIP.

Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Noise adaptive super-resolution from single image via non-local mean and sparse representation

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao, 2017, Signal Process..

Greedy dictionary learning for kernel sparse representation based classifier

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2016, Pattern Recognit. Lett..

Archetypal analysis based sparse convex sequence kernel for bird activity detection

Anil Kumar Sao, Padmanabhan Rajan, A. D. Dileep, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Hierarchical classification of HEP-2 cell images using class-specific features

Arnav Bhavsar, Anil Kumar Sao, Vibha Gupta, 2016, 2016 6th European Workshop on Visual Information Processing (EUVIP).

A probabilistic approach to selecting units for speech synthesis based on acoustic similarity

Hema A. Murthy, Anil Kumar Sao, Anjana Babu, 2014, 2014 Twentieth National Conference on Communications (NCC).

Mitotic v/s non-mitotic HEp-2 cells classification for CAD based auto-immune disorder detection: a study using CNN

Arnav Bhavsar, Anil Kumar Sao, Krati Gupta, 2018, COMAD/CODS.

Automatic Recognition of Resting State fMRI Networks with Dictionary Learning

Anil Kumar Sao, Debadatta Dash, Jun Wang, 2018, BI.

Identification of HEp-2 specimen images with mitotic cell patterns

Arnav Bhavsar, Anil Kumar Sao, Krati Gupta, 2020 .

Spatial analysis of solar radiation using computer vision technique and data assimilation

Anil Kumar Sao, Ankit Bansal, Yashwant Kashyap, 2017 .

The model order limit: Deep sparse factorization for resting brain

Anil Kumar Sao, Debadatta Dash, Vinayak Abrol, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Combining analytic phase and Fourier phase for face recognition

Anil Kumar Sao, 2011, 2011 International Conference on Image Information Processing.

Class-specific hierarchical classification for HEP-2 specimen images

Arnav Bhavsar, Anil Kumar Sao, Vibha Gupta, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

On the use of phase of the Fourier transform for face recognition under variations in illumination

Bayya Yegnanarayana, Anil Kumar Sao, B. Yegnanarayana, 2010, Signal Image Video Process..

Enhancing Shape from Focus-Measure-Fusion and Sparse Representation

Arnav Bhavsar, Anil Kumar Sao, Snehal Shete, 2014, ICVGIP '14.

Considerations for a PAP Smear Image Analysis System with CNN Features pdf

Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao, 2018, ArXiv.

Detecting mitotic cells in HEp-2 images as anomalies via one class classifier

Arnav Bhavsar, Anil Kumar Sao, Krati Gupta, 2019, Comput. Biol. Medicine.

Significance of image representation for face verification

B. V. K. Vijaya Kumar, Bayya Yegnanarayana, Anil Kumar Sao, 2007, Signal Image Video Process..

Determination of pose angle of face using dynamic space warping

B. V. K. Vijaya Kumar, Bayya Yegnanarayana, Anil Kumar Sao, 2004, International Conference on Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004..

Learned dictionaries for sparse representation based unit selection speech synthesis

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2016, 2016 Twenty Second National Conference on Communication (NCC).

Edge extraction using zero-frequency resonator

Bayya Yegnanarayana, Anil Kumar Sao, B. Yegnanarayana, 2012, Signal Image Video Process..

Spatial Approach of Artificial Neural Network for Solar Radiation Forecasting: Modeling Issues

Anil Kumar Sao, Ankit Bansal, Yashwant Kashyap, 2015 .

Laplacian of smoothed image as representation for face recognition

Bayya Yegnanarayana, Anil Kumar Sao, 2011, 2011 IEEE International Workshop on Information Forensics and Security.

Face verification using correlation filters and autoassociative neural networks

B. Yegnanarayana, Anil Kumar Sao, 2004, International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of.

Making sense of randomness: Fast signal recovery from compressive samples

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Deep Metric Learning for Identification of Mitotic Patterns of HEp-2 Cell Images

Arnav Bhavsar, Anil Kumar Sao, Daksh Thapar, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Making sense of randomness: an approach for fast recovery of compressively sensed signals pdf

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2015, ArXiv.

Two-Level Band Selection Framework for Hyperspectral Image Classification

Anil Kumar Sao, Munmun Baisantry, Dericks Praise Shukla, 2020, Journal of the Indian Society of Remote Sensing.

Compressed sensing for unit selection based speech synthesis

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Class specific GMM based sparse feature for speech units classification

Anil Kumar Sao, Aroor Dinesh Dileep, Vinayak Abrol, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Super-resolving a Single Intensity/Range Image via Non-local Means and Sparse Representation

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao, 2014, ICVGIP.

Mitotic cells detection for HEp-2 specimen images using threshold-based evaluation scheme

Arnav Bhavsar, Anil Kumar Sao, Krati Gupta, 2018, Medical Imaging.

Solar radiation forecasting with multiple parameters neural networks

Anil Kumar Sao, Ankit Bansal, Yashwant Kashyap, 2015 .

Sparse coding based features for speech units classification

Anil Kumar Sao, Aroor Dinesh Dileep, Vinayak Abrol, 2018, Comput. Speech Lang..

A syllable-based framework for unit selection synthesis in 13 Indian languages

S. R. Mahadeva Prasanna, Rakesh Kumar, Hema A. Murthy, 2013, 2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE).

Greedy double sparse dictionary learning for sparse representation of speech signals

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2016, Speech Commun..

Fast and robust FMRI unmixing using hierarchical dictionary learning

Ashraf A. Kassim, Anil Kumar Sao, Vinayak Abrol, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Significance of Magnetic Resonance Image Details in Sparse Representation Based Super Resolution

Srimanta Mandal, Anil Kumar Sao, Prabhjot Kaur, 2017, MIUA.

DeepCerv: Deep Neural Network for Segmentation Free Robust Cervical Cell Classification

Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao, 2018, COMPAY/OMIA@MICCAI.

Image deblurring in super-resolution framework

Srimanta Mandal, Anil Kumar Sao, A. Sao, 2013, 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

Voiced/nonvoiced detection in compressively sensed speech signals

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2015, Speech Commun..

Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes

Arnav Bhavsar, Anil Kumar Sao, Vibha Gupta, 2014, 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images.

An Introduction to stastical pattern recognition

Anil Kumar Sao, 2012 .

Analytic Phase-based Representation for Face Recognition

Bayya Yegnanarayana, Anil Kumar Sao, B. Yegnanarayana, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Unit Selection Using Acoustic Supra-Segmental Cues to Improve Prosody

Anil Kumar Sao, Anjana Babu, A. Sao, 2016, Recent Advances in Nonlinear Speech Processing.

Single Image Based Reconstruction of High Field-Like MR Images

Anil Kumar Sao, Prabhjot Kaur, A. Sao, 2019, MICCAI.

Class-Specific Hierarchical Classification of HEp-2 Cell Images: The Case of Two Classes

Arnav Bhavsar, Anil Kumar Sao, Vibha Gupta, 2014 .

Depth Map Restoration From Undersampled Data

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao, 2017, IEEE Transactions on Image Processing.

Face Verification Using Template Matching

Bayya Yegnanarayana, Anil Kumar Sao, B. Yegnanarayana, 2007, IEEE Transactions on Information Forensics and Security.

Hierarchical example-based range-image super-resolution with edge-preservation

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Gradient Profile Based Super Resolution of MR Images with Induced Sparsity

Anil Kumar Sao, Prabhjot Kaur, A. Sao, 2018, MICCAI.

HOW MANY FMRI SCANS ARE NECESSARY AND SUFFICIENT FOR RESTING BRAIN CONNECTIVITY ANALYSIS?

Jun Wang, Anil Kumar Sao, Debadatta Dash, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Significance of dictionary for sparse coding based pose invariant face recognition

Srimanta Mandal, Anil Kumar Sao, Shejin Thavalengal, 2014, 2014 Twentieth National Conference on Communications (NCC).

Template Matching Approach for Pose Problem in Face Verification

Bayya Yegnanarayana, Anil Kumar Sao, 2006, MRCS.

Supervised speech enhancement using compressed sensing

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2015, 2015 Twenty First National Conference on Communications (NCC).

Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data

Anil Kumar Sao, Debadatta Dash, Vinayak Abrol, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Group delay functions for speaker diarization

Mohit Yadav, Anil Kumar Sao, Padmanabhan Rajan, 2016, 2016 Twenty Second National Conference on Communication (NCC).

CNN based Mitotic HEp-2 Cell Image Detection

Arnav Bhavsar, Anil Kumar Sao, Krati Gupta, 2018, BIOIMAGING.

Band Selection Using Combined Divergence–Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification

Anil Kumar Sao, Munmun Baisantry, Dericks Praise Shukla, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Deep-Sparse-Representation-Based Features for Speech Recognition

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Employing structural and statistical information to learn dictionary(s) for single image super-resolution in sparse domain

Srimanta Mandal, Anil Kumar Sao, A. Sao, 2016, Signal Process. Image Commun..

Speech enhancement using compressed sensing

Anil Kumar Sao, Vinayak Abrol, Pulkit Sharma, 2013, INTERSPEECH.

Multi-scale image denoising while preserving edges in sparse domain

Srimanta Mandal, Arnav Bhavsar, Anil Kumar Sao, 2016, 2016 6th European Workshop on Visual Information Processing (EUVIP).

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16) pdf

Aleksandra Pizurica, Mohamed-Jalal Fadili, Ali Mohammad-Djafari, 2016, ArXiv.

Edge preserving single image super resolution in sparse environment

Srimanta Mandal, Anil Kumar Sao, A. Sao, 2013, 2013 IEEE International Conference on Image Processing.

Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation

Anil Kumar Sao, Nivedita, Vinayak Abrol, 2018, Comput. Speech Lang..

Analysis of WD Face Dictionary for Sparse Coding Based Face Recognition

Anil Kumar Sao, Shejin Thavalengal, 2013, ICIAP.

Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering

Srishti Gautam, Arnav Bhavsar, Anil Kumar Sao, 2017, MIUA.

Model for Estimation of Global Horizontal Irradiance in the Presence of Dust, Fog, and Clouds

Anil Kumar Sao, Annette Hammer, Yashwant Kashyap, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Precise Estimation of Resting State Functional Connectivity Using Empirical Mode Decomposition

Anil Kumar Sao, Bharat Biswal, Sukesh Das, 2020, BI.

Significance of dictionary for sparse coding based face recognition

Anil Kumar Sao, T. Shejin, 2012, 2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG).

Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition

Srimanta Mandal, Anil Kumar Sao, Shejin Thavalengal, 2015, Pattern Analysis and Applications.

Analyzing the Effect of Resolution of Network Nodes on the Resting State Functional Connectivity Maps of Schizophrenic Human Brains

Anil Kumar Sao, Atul S. Minhas, Pratik Jain, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Estimation of Spontaneous Neuronal Activity Using Homomorphic Filtering

Anil Kumar Sao, Sukesh Das, Bharat B. Biswal, 2021, MICCAI.

Super Resolution of Magnetic Resonance Images

Anil Kumar Sao, Chirag Kamal Ahuja, Prabhjot Kaur, 2021, J. Imaging.