Solar radiation forecasting with multiple parameters neural networks Y Kashyap, A Bansal, AK Sao Renewable and Sustainable Energy Reviews 49, 825-835, 2015 | 125 | 2015 |
A syllable-based framework for unit selection synthesis in 13 Indian languages HA Patil, TB Patel, NJ Shah, HB Sailor, R Krishnan, GR Kasthuri, ... 2013 International Conference Oriental COCOSDA held jointly with 2013 …, 2013 | 59 | 2013 |
Deep-sparse-representation-based features for speech recognition P Sharma, V Abrol, AK Sao IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (11 …, 2017 | 48 | 2017 |
Face verification using template matching AK Sao, B Yegnanarayana IEEE Transactions on information Forensics and Security 2 (3), 636-641, 2007 | 46 | 2007 |
Considerations for a PAP smear image analysis system with CNN features S Gautam, N Jith, AK Sao, A Bhavsar, A Natarajan arXiv preprint arXiv:1806.09025, 2018 | 42 | 2018 |
CNN based segmentation of nuclei in PAP-smear images with selective pre-processing S Gautam, A Bhavsar, AK Sao, KK Harinarayan Medical Imaging 2018: Digital Pathology 10581, 246-254, 2018 | 41 | 2018 |
Noise adaptive super-resolution from single image via non-local mean and sparse representation S Mandal, A Bhavsar, AK Sao Signal Processing 132, 134-149, 2017 | 41 | 2017 |
Depth map restoration from undersampled data S Mandal, A Bhavsar, AK Sao IEEE Transactions on Image Processing 26 (1), 119-134, 2016 | 36 | 2016 |
DeepCerv: Deep neural network for segmentation free robust cervical cell classification OU Nirmal Jith, KK Harinarayanan, S Gautam, A Bhavsar, AK Sao Computational Pathology and Ophthalmic Medical Image Analysis: First …, 2018 | 34 | 2018 |
On the use of phase of the Fourier transform for face recognition under variations in illumination AK Sao, B Yegnanarayana Signal, image and video processing 4, 353-358, 2010 | 30 | 2010 |
Edge preserving single image super resolution in sparse environment S Mandal, AK Sao 2013 IEEE International Conference on Image Processing, 967-971, 2013 | 26 | 2013 |
Greedy dictionary learning for kernel sparse representation based classifier V Abrol, P Sharma, AK Sao Pattern Recognition Letters 78, 64-69, 2016 | 25 | 2016 |
Significance of image representation for face verification AK Sao, B Yegnanarayana, BVK Vijaya Kumar Signal, Image and Video Processing 1, 225-237, 2007 | 25 | 2007 |
Detecting mitotic cells in HEp-2 images as anomalies via one class classifier K Gupta, A Bhavsar, AK Sao Computers in biology and medicine 111, 103328, 2019 | 24 | 2019 |
Voiced/nonvoiced detection in compressively sensed speech signals V Abrol, P Sharma, AK Sao Speech Communication 72, 194-207, 2015 | 23 | 2015 |
Sparse coding based features for speech units classification P Sharma, V Abrol, AD Dileep, AK Sao Computer Speech & Language 47, 333-350, 2018 | 22 | 2018 |
The blizzard challenge 2014 K Prahallad, A Vadapalli, S Kesiraju, H Murthy, S Lata, T Nagarajan, ... Proc. Blizzard Challenge workshop 2014, 2014 | 22 | 2014 |
Mean-shift based segmentation of cell nuclei in cervical PAP-smear images P Agarwal, A Sao, A Bhavsar 2015 Fifth National Conference on Computer Vision, Pattern Recognition …, 2015 | 17 | 2015 |
Speech enhancement using compressed sensing. V Abrol, P Sharma, AK Sao Interspeech, 3274-3278, 2013 | 17 | 2013 |
Deep metric learning for identification of mitotic patterns of HEp-2 cell images K Gupta, D Thapar, A Bhavsar, AK Sao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 16 | 2019 |