| Semi-Supervised Kernel Mean Shift Clustering S Anand, S Mittal, O Tuzel, P Meer Pattern Analysis and Machine Intelligence, IEEE Transactions on 36 (6), 1201 …, 2014 | 176 | 2014 |
| Disentangling factors of variation with cycle-consistent variational auto-encoders AH Jha, S Anand, M Singh, VSR Veeravasarapu Proceedings of the European Conference on Computer Vision (ECCV), 805-820, 2018 | 138 | 2018 |
| Contextual Diversity for Active Learning S Agarwal, H Arora, S Anand, C Arora European Conference on Computer Vision, 2020 | 106 | 2020 |
| Generalized projection-based M-estimator S Mittal, S Anand, P Meer IEEE transactions on Pattern analysis and machine intelligence 34 (12), 2351 …, 2012 | 69 | 2012 |
| Pseudo rgb-d for self-improving monocular slam and depth prediction L Tiwari, P Ji, QH Tran, B Zhuang, S Anand, M Chandraker European conference on computer vision, 437-455, 2020 | 64 | 2020 |
| BIRDSAI: A dataset for detection and tracking in aerial thermal infrared videos E Bondi, R Jain, P Aggrawal, S Anand, R Hannaford, A Kapoor, J Piavis, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 54 | 2020 |
| Automatic detection and recognition of individuals in patterned species GS Cheema, S Anand Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 54 | 2017 |
| Modeling functional similarity in source code with graph-based siamese networks N Mehrotra, N Agarwal, P Gupta, S Anand, D Lo, R Purandare IEEE Transactions on Software Engineering 48 (10), 3771-3789, 2021 | 37 | 2021 |
| Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition A Tripathi, A Mohan, S Anand, M Singh IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 37 | 2018 |
| Semi-supervised clustering using neural networks A Shukla, GS Cheema, S Anand IEEE Sixth International Conference on Multimedia Big Data (BigMM), 2020 | 34* | 2020 |
| Experimental analysis of sequential decision making algorithms for port of entry inspection procedures S Anand, D Madigan, R Mammone, S Pathak, F Roberts Intelligence and Security Informatics: IEEE International Conference on …, 2006 | 24 | 2006 |
| Product of orthogonal spheres parameterization for disentangled representation learning A Shukla, S Bhagat, S Uppal, S Anand, P Turaga 30th British Machine Vision Conference 2019, {BMVC} 2019, Cardiff, UK …, 2019 | 21 | 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 | 21 | 2018 |
| Generalized projection based m-estimator: Theory and applications S Mittal, S Anand, P Meer CVPR 2011, 2689-2696, 2011 | 20 | 2011 |
| Symmetric -Means for Deep Neural Network Compression and Hardware Acceleration on FPGAs A Jain, P Goel, S Aggarwal, A Fell, S Anand IEEE Journal of Selected Topics in Signal Processing 14 (4), 737-749, 2020 | 15 | 2020 |
| Development and validation of high definition phenotype-based mortality prediction in critical care units Y Sun, R Kaur, S Gupta, R Paul, R Das, SJ Cho, S Anand, JJ Boutilier, ... JAMIA open 4 (1), ooab004, 2021 | 11 | 2021 |
| DGSAC: Density guided sampling and consensus L Tiwari, S Anand 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 974-982, 2018 | 11 | 2018 |
| Hiermatch: Leveraging label hierarchies for improving semi-supervised learning A Garg, S Bagga, Y Singh, S Anand Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
| 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 | 10 | 2019 |
| Stacked robust autoencoder for classification J Mehta, K Gupta, A Gogna, A Majumdar, S Anand Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 10 | 2016 |
Ankita ShuklaArizona State UniversityVerified email at asu.edu
