Publications and Reports
Book Chapters
Refereed Journals
- S. Anand , S. Mittal, O. Tuzel, P. Meer, "Semi-Supervised Kernel Mean Shift Clustering", IEEE TPAMI, 2014, vol. 36, pp. 1201-1215, DOI: 10.1109/TPAMI.2013.190. code
- S. Mittal, S. Anand , P. Meer, "Generalized Projection Based M-Estimator", IEEE TPAMI, 2012, vol. 34, pp. 2351-2364, DOI: 10.1109/TPAMI.2012.52. code
Refereed Conferences
- A. H. Jha, S. Anand, M. Singh and V. S. R. Veeravasarapu, "Disentangling Factors of Variation with Cycle-Consistent Variational AutoEncoders", ECCV 2018
- M. K. Pal, R. Bhati, A. Sharma, S. K. Kaul, S. Anand and Sujit P. B, "A Reinforcement Learning Approach to Jointly Adapt Vehicular Communications and Planning for Optimized Driving", ITSC 2018
- A. Tripathi, A. Mohan, S. Anand and M. Singh, "Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition", ICASSP 2018, pp. 5959-5963, DOI: 10.1109/ICASSP.2018.8462452
- L. Tiwari and S. Anand , "DGSAC: Density Guided SAmpling and Consensus", WACV 2018, pp. 974-982, DOI: 10.1109/WACV.2018.00112
- G. Cheema and S. Anand, "Automatic Detection and Recognition of Individuals in Patterned Species", ECML PKDD, 2017
- A. Jain, A. Fell and S. Anand, "A Parallel Architecture for High Frame Rate Stereo using Semi-Global Matching", BMVC 2017
- L. Tiwari, S. Anand and S. Mittal, "Robust Multi-Model Fitting using Density and Preference Analysis", ACCV, 2016, pp.308-323, DOI: 10.1007/978-3-319-54190-7_19. code
- L. Tiwari and S. Anand , "Fast Hypothesis Filtering For Multi-Structure Geometric Model Fitting", IEEE ICIP, 2016, pp. 3728-3732, DOI: 10.1109/ICIP.2016.7533056.
- A. Shukla and S. Anand , "Metric Learning Based Automatic Segmentation of Patterned Species", IEEE ICIP, 2016, pp. 3982-3986, DOI: 10.1109/ICIP.2016.7533107.
- S. Mittal, S. Anand and P. Meer, "Generalized Projection based M-Estimator: Theory and Applications", IEEE CVPR, 2011, 2689-2696, DOI: 10.1109/CVPR.2011.5995514.
- S. Anand , D. Madigan, R. Mammone, S. Pathak and F. Roberts, "Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures", in Proc. of ISI-2006, LNCS, vol. 3975, Springer, 2006, DOI: 10.1007/11760146_28.
Workshops and Reports
- A. H. Jha, S. Anand, M. Singh, V. S. R. Veeravasarapu, "Disentangling Factors of Variation with Cycle-Consistent Variational AutoEncoders", ArXiv, March, 2018
- D. Kimothi, A. Shukla, P. Biyani, S. Anand and J. Hogan, "Metric Learning on Biological Sequence Embeddings",IEEE SPAWC 2017, pages 1-5, DOI: 10.1109/SPAWC.2017.8227769
- A. Shukla and S. Anand, "Distance Metric Learning by Optimization on the Stiefel Manifold", In Workshop on DIFFerential Geometry in Computer Vision (DIFF-CV 2015), pages 7.1-7.10. BMVA Press, DOI: 10.5244/C.29.DIFFCV.7
- C. Podilchuk, A. Patel, A. Harthattu, S. Anand and R. Mammone, "A New Face Recognition Algorithm based on Bijective Mappings", IEEE Workshop on FRGC Experiments, CVPR 2005, DOI: 10.1109/CVPR.2005.564.
- S. Anand, D. Madigan, R. Mammone, S. Pathak, F. Roberts, "Experimental Analysis of Sequential Decision Making Algorithms for Port of Entry Inspection Procedures", DIMACS TR:2006-05.