Anil Kumar Sao, Ph.D
Affiliations: | SCEE | IIT, Mandi, India |
Area:
Image Processing, Multimodal biometrics, Face recognition, Video processing, Computer vision and Pattern recognitionWebsite:
http://faculty.iitmandi.ac.in/~anil/Google:
"Anil Sao"Mean distance: 9789.25
Children
Sign in to add traineeKrati Gupta | grad student | IIT, Mandi, India | |
Prabjot Kaur | grad student | IIT, Mandi, India | |
Srimanta Mandal | grad student | Indian Institute of Technology, Mandi, India | |
Shejin Thavalengal | grad student | IIT, Mandi, India | |
Anjana Babu | grad student | 2011- | IIT, Mandi, India |
Pulkit Sharma | grad student | 2012- | Indian Institute of Technology, Mandi, India |
Vinayak Abrol | grad student | 2013- | Indian Institute of Technology, Mandi, India |
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Publications
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Gupta K, Bhavsar A, Sao AK. (2022) Detection of mitotic HEp-2 cell images: role of feature representation and classification framework under class skew. Medical & Biological Engineering & Computing |
Gupta K, Thapar D, Bhavsar A, et al. (2020) 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 |
Baisantry M, Sao AK, Shukla DP. (2020) 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 |
Gupta K, Bhavsar A, Sao AK. (2020) Identification of HEp-2 specimen images with mitotic cell patterns Biocybernetics and Biomedical Engineering. 40: 1233-1249 |
Gupta K, Bhavsar A, Sao AK. (2019) Detecting mitotic cells in HEp-2 images as anomalies via one class classifier. Computers in Biology and Medicine. 111: 103328 |
Sharma P, Abrol V, Nivedita, et al. (2018) Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation Computer Speech & Language. 52: 191-208 |
Sharma P, Abrol V, Sao AK. (2017) Deep-Sparse-Representation-Based Features for Speech Recognition Ieee/Acm Transactions On Audio, Speech, and Language Processing. 25: 2162-2175 |
Mandal S, Bhavsar A, Sao AK. (2017) Noise adaptive super-resolution from single image via non-local mean and sparse representation Signal Processing. 132: 134-149 |
Mandal S, Bhavsar A, Sao A. (2016) Depth Map Restoration from Under-sampled Data. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
Sharma P, Abrol V, Sao AK. (2016) Learned dictionaries for sparse representation based unit selection speech synthesis 2016 22nd National Conference On Communication, Ncc 2016 |