| 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 2014 IEEE International Conference on Image Processing (ICIP), 1302-1306, 2014 | 43 | 2014 |
| Semi-Supervised Clustering with Neural Networks A Shukla, GS Cheema, S Anand arXiv preprint arXiv:1806.01547, 2018 | 39* | 2018 |
| Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals A Shukla, A Majumdar Biomedical Signal Processing and Control 18, 174-178, 2015 | 38 | 2015 |
| Polynomial Implicit Neural Representations For Large Diverse Datasets R Singh, A Shukla, P Turaga Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| 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 | 25 | 2019 |
| Geometry of deep generative models for disentangled representations A Shukla, S Uppal, S Bhagat, S Anand, P Turaga Proceedings of the 11th Indian Conference on Computer Vision, Graphics and …, 2018 | 24 | 2018 |
| 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 | 22 | 2018 |
| Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data ES Jeon, A Som, A Shukla, K Hasanaj, MP Buman, P Turaga IEEE Internet of Things Journal, 2021 | 18 | 2021 |
| Energy efficient acquisition and reconstruction of EEG signals W Singh, A Shukla, S Deb, A Majumdar 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 18 | 2014 |
| Exploiting inter-channel correlation in EEG signal reconstruction A Shukla, A Majumdar Biomedical Signal Processing and Control 18, 49-55, 2015 | 17 | 2015 |
| Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network A Majumdar, A Shukla, R Ward 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 17 | 2015 |
| Matrix recovery using split bregman A Gogna, A Shukla, A Majumdar 2014 22nd International Conference on Pattern Recognition, 1031-1036, 2014 | 15 | 2014 |
| A Hybrid Approach to Tiger Re-Identification A Shukla, G Sigh Cheema, P Gao, S Onda, D Anshumaan, S Anand, ... Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 14 | 2019 |
| Primate face identification in the wild A Shukla, GS Cheema, S Anand, Q Qureshi, Y Jhala PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 13 | 2019 |
| Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study H Choi, ES Jeon, A Shukla, P Turaga Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 12 | 2023 |
| Machine-Learning Approach for Automatic Detection of Wild Beluga Whales from Hand-Held Camera Pictures VM Araújo, A Shukla, C Chion, S Gambs, R Michaud Sensors 22 (11), 4107, 2022 | 10 | 2022 |
| Energy efficient EEG acquisition and reconstruction for a wireless body area network W Singh, A Shukla, S Deb, A Majumdar Integration 58, 295-302, 2017 | 10 | 2017 |
| Metric learning based automatic segmentation of patterned species A Shukla, S Anand 2016 IEEE International Conference on Image Processing (ICIP), 3982-3986, 2016 | 8 | 2016 |
| A low-cost non-intrusive appliance load monitoring system S Das, A Shukla, GNS Harsha, S Deb 2013 3rd IEEE International Advance Computing Conference (IACC), 1641-1644, 2013 | 8 | 2013 |
| Leveraging angular distributions for improved knowledge distillation ES Jeon, H Choi, A Shukla, P Turaga Neurocomputing 518, 466-481, 2023 | 7 | 2023 |
Pavan TuragaGeometric Media Lab, Arizona State UniversityVerified email at asu.edu
