Year |
Citation |
Score |
2022 |
Gupta K, Bhavsar A, Sao AK. Detection of mitotic HEp-2 cell images: role of feature representation and classification framework under class skew. Medical & Biological Engineering & Computing. PMID 35773609 DOI: 10.1007/s11517-022-02613-0 |
0.538 |
|
2020 |
Gupta K, Thapar D, Bhavsar A, Sao AK. Effectiveness of GAN-based Synthetic Samples Generation of Minority Patterns in HEp-2 Cell Images. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1376-1379. PMID 33018245 DOI: 10.1109/EMBC44109.2020.9175636 |
0.494 |
|
2020 |
Baisantry M, Sao AK, Shukla DP. Band Selection Using Combined Divergence–Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 5011-5026. DOI: 10.1109/Jstars.2020.3014784 |
0.355 |
|
2020 |
Gupta K, Bhavsar A, Sao AK. Identification of HEp-2 specimen images with mitotic cell patterns Biocybernetics and Biomedical Engineering. 40: 1233-1249. DOI: 10.1016/J.Bbe.2020.07.003 |
0.558 |
|
2019 |
Gupta K, Bhavsar A, Sao AK. Detecting mitotic cells in HEp-2 images as anomalies via one class classifier. Computers in Biology and Medicine. 111: 103328. PMID 31326866 DOI: 10.1016/J.Compbiomed.2019.103328 |
0.579 |
|
2018 |
Sharma P, Abrol V, Nivedita, Sao AK. Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation Computer Speech & Language. 52: 191-208. DOI: 10.1016/J.Csl.2018.05.003 |
0.765 |
|
2017 |
Sharma P, Abrol V, Sao AK. Deep-Sparse-Representation-Based Features for Speech Recognition Ieee/Acm Transactions On Audio, Speech, and Language Processing. 25: 2162-2175. DOI: 10.1109/Taslp.2017.2748240 |
0.776 |
|
2017 |
Mandal S, Bhavsar A, Sao AK. Noise adaptive super-resolution from single image via non-local mean and sparse representation Signal Processing. 132: 134-149. DOI: 10.1016/J.Sigpro.2016.09.017 |
0.553 |
|
2016 |
Mandal S, Bhavsar A, Sao A. Depth Map Restoration from Under-sampled Data. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 27831871 DOI: 10.1109/Tip.2016.2621410 |
0.482 |
|
2016 |
Sharma P, Abrol V, Sao AK. Learned dictionaries for sparse representation based unit selection speech synthesis 2016 22nd National Conference On Communication, Ncc 2016. DOI: 10.1109/NCC.2016.7561084 |
0.755 |
|
2016 |
Abrol V, Sharma P, Sao A. Greedy double sparse dictionary learning for sparse representation of speech signals Speech Communication. 85: 71-82. DOI: 10.1016/J.Specom.2016.09.004 |
0.754 |
|
2016 |
Abrol V, Sharma P, Sao AK. Greedy dictionary learning for kernel sparse representation based classifier Pattern Recognition Letters. 78: 64-69. DOI: 10.1016/J.Patrec.2016.04.014 |
0.746 |
|
2016 |
Mandal S, Sao AK. Employing structural and statistical information to learn dictionary(s) for single image super-resolution in sparse domain Signal Processing: Image Communication. 48: 63-80. DOI: 10.1016/J.Image.2016.08.006 |
0.564 |
|
2015 |
Sharma P, Abrol V, Sao AK. Supervised speech enhancement using compressed sensing 2015 21st National Conference On Communications, Ncc 2015. DOI: 10.1109/NCC.2015.7084919 |
0.733 |
|
2015 |
Abrol V, Sharma P, Sao AK. Voiced/nonvoiced detection in compressively sensed speech signals Speech Communication. 72: 194-207. DOI: 10.1016/J.Specom.2015.06.001 |
0.762 |
|
2015 |
Sharma P, Abrol V, Dileep AD, Sao AK. Sparse coding based features for speech units classification Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2015: 712-715. DOI: 10.1016/J.Csl.2017.08.004 |
0.773 |
|
2015 |
Mandal S, Thavalengal S, Sao AK. Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition Pattern Analysis and Applications. DOI: 10.1007/S10044-015-0512-0 |
0.775 |
|
2014 |
Mandal S, Bhavsar A, Sao AK. Super-resolving a Single Intensity/Range Image via Non-local Means and Sparse Representation Acm International Conference Proceeding Series. 14. DOI: 10.1145/2683483.2683541 |
0.483 |
|
2014 |
Babu A, Krishnan KR, Sao AK, Murthy HA. A probabilistic approach to selecting units for speech synthesis based on acoustic similarity 2014 20th National Conference On Communications, Ncc 2014. DOI: 10.1109/NCC.2014.6811333 |
0.606 |
|
2014 |
Thavalengal S, Mandal S, Sao AK. Significance of dictionary for sparse coding based pose invariant face recognition 2014 20th National Conference On Communications, Ncc 2014. DOI: 10.1109/NCC.2014.6811265 |
0.762 |
|
2014 |
Mandal S, Bhavsar A, Sao AK. Hierarchical example-based range-image super-resolution with edge-preservation 2014 Ieee International Conference On Image Processing, Icip 2014. 3867-3871. DOI: 10.1109/ICIP.2014.7025785 |
0.478 |
|
2013 |
Mandal S, Sao AK. Image deblurring in super-resolution framework 2013 4th National Conference On Computer Vision, Pattern Recognition, Image Processing and Graphics, Ncvpripg 2013. DOI: 10.1109/NCVPRIPG.2013.6776174 |
0.45 |
|
2013 |
Patil HA, Patel TB, Shah NJ, Sailor HB, Krishnan R, Kasthuri GR, Nagarajan T, Christina L, Kumar N, Raghavendra V, Kishore SP, Prasanna SRM, Adiga N, Singh SR, Anand K, ... ... Sao AK, et al. A syllable-based framework for unit selection synthesis in 13 Indian languages 2013 International Conference Oriental Cocosda Held Jointly With 2013 Conference On Asian Spoken Language Research and Evaluation, O-Cocosda/Caslre 2013. DOI: 10.1109/ICSDA.2013.6709851 |
0.568 |
|
2013 |
Mandal S, Sao AK. Edge preserving single image super resolution in sparse environment 2013 Ieee International Conference On Image Processing, Icip 2013 - Proceedings. 967-971. DOI: 10.1109/ICIP.2013.6738200 |
0.468 |
|
2013 |
Thavalengal S, Sao AK. Analysis of WD face dictionary for sparse coding based face recognition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8156: 221-230. DOI: 10.1007/978-3-642-41181-6_23 |
0.748 |
|
2013 |
Abrol V, Sharma P, Sao AK. Speech enhancement using compressed sensing Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 3274-3278. |
0.699 |
|
2012 |
Sao AK, Yegnanarayana B. Edge extraction using zero-frequency resonator Signal, Image and Video Processing. 6: 287-300. DOI: 10.1007/S11760-011-0233-9 |
0.556 |
|
2012 |
Shejin T, Sao AK. Significance of dictionary for sparse coding based face recognition Proceedings of the International Conference of the Biometrics Special Interest Group, Biosig 2012. |
0.322 |
|
2011 |
Sao AK, Yegnanarayana B. Laplacian of smoothed image as representation for face recognition 2011 Ieee International Workshop On Information Forensics and Security, Wifs 2011. DOI: 10.1109/WIFS.2011.6123140 |
0.587 |
|
2010 |
Sao AK, Yegnanarayana B. On the use of phase of the Fourier transform for face recognition under variations in illumination Signal, Image and Video Processing. 4: 353-358. DOI: 10.1007/S11760-009-0125-4 |
0.575 |
|
2007 |
Sao AK, Yegnanarayana B. Face verification using template matching Ieee Transactions On Information Forensics and Security. 2: 636-641. DOI: 10.1109/Tifs.2007.902920 |
0.621 |
|
2007 |
Sao AK, Yegnanarayana B, Kumar BVKV. Significance of image representation for face verification Signal, Image and Video Processing. 1: 225-237. DOI: 10.1007/S11760-007-0016-5 |
0.615 |
|
2004 |
Yegnanarayana B, Sao AK, Kumar BVKV, Savvides M. Determination of pose angle of face using dynamic space warping (DSW) International Conference On Information Technology: Coding Computing, Itcc. 1: 661-664. DOI: 10.1109/ITCC.2004.1286541 |
0.476 |
|
2004 |
Sao AK, Yegnanarayana B. Face Verification Using Correlation Filters and Autoassocoative Neural Networks Proceedings of International Conference On Intelligent Sensing and Information Processing, Icisip 2004. 364-367. |
0.449 |
|
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