Ankita Shukla
TitleCited byYear
Split Bregman algorithms for sparse/joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging
A Gogna, A Shukla, HK Agarwal, A Majumdar
Image Processing (ICIP), 2014 IEEE International Conference on, 1302-1306, 2014
Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals
A Shukla, A Majumdar
Biomedical Signal Processing and Control 18, 174-178, 2015
Matrix recovery using split bregman
A Gogna, A Shukla, A Majumdar
Pattern Recognition (ICPR), 2014 22nd International Conference on, 1031-1036, 2014
Energy efficient acquisition and reconstruction of EEG signals
W Singh, A Shukla, S Deb, A Majumdar
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Exploiting inter-channel correlation in EEG signal reconstruction
A Shukla, A Majumdar
Biomedical Signal Processing and Control 18, 49-55, 2015
Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network
A Majumdar, A Shukla, R Ward
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
A low-cost non-intrusive appliance load monitoring system
S Das, A Shukla, GNS Harsha, S Deb
Advance Computing Conference (IACC), 2013 IEEE 3rd International, 1641-1644, 2013
Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network
W Singh, A Shukla, S Deb, A Majumdar
Integration, the VLSI Journal 58, 295-302, 2017
Real-Time Dynamic MRI Reconstruction: Accelerating Compressed Sensing on Graphical Processor Unit
A Shukla, A Majumdar, RK Ward
IASTED Signal and Image Processing, 2013
Perturbation Robust Representations of Topological Persistence Diagrams
A Som, K Thopalli, K Natesan Ramamurthy, V Venkataraman, A Shukla, ...
Proceedings of the European Conference on Computer Vision (ECCV), 617-635, 2018
A Kronecker Compressed Sensing formulation for energy efficient EEG sensing
A Shukla, A Majumdar, R Ward
Advances in Pattern Recognition (ICAPR), 2015 Eighth International …, 2015
Distance metric learning by optimization on the stiefel manifold
A Shukla, S Anand
DIFF-CV Workshop, co-located with BMVC, 2015
Geometry of Deep Generative Models for Disentangled Representations
A Shukla, S Uppal, S Bhagat, S Anand, P Turaga
arXiv preprint arXiv:1902.06964, 2019
ClusterNet: Semi-Supervised Clustering using Neural Networks
A Shukla, GS Cheema, S Anand
arXiv preprint arXiv:1806.01547, 2018
Metric learning on biological sequence embeddings
D Kimothi, A Shukla, P Biyani, S Anand, JM Hogan
Signal Processing Advances in Wireless Communications (SPAWC), 2017 IEEE …, 2017
Metric learning based automatic segmentation of patterned species
A Shukla, S Anand
2016 IEEE International Conference on Image Processing (ICIP), 3982-3986, 2016
Primate Face Identification in the Wild
A Shukla, GS Cheema, S Anand, Q Qureshi, Y Jhala
arXiv preprint arXiv:1907.02642, 2019
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning
A Shukla, S Bhagat, S Uppal, S Anand, P Turaga
arXiv preprint arXiv:1907.09554, 2019
Semi-Supervised Clustering with Neural Networks
A Shukla, GS Cheema, S Anand
arXiv preprint arXiv:1806.01547, 2018
Signal processing techniques to reduce energy consumption in EEG acquisition and transmission for WBAN
A Shukla, A Srinivasan
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