| A survey of decision fusion and feature fusion strategies for pattern classification UG Mangai, S Samanta, S Das, PR Chowdhury IETE Technical review 27 (4), 293-307, 2010 | 390 | 2010 |
| Use of salient features for the design of a multistage framework to extract roads from high-resolution multispectral satellite images S Das, TT Mirnalinee, K Varghese IEEE transactions on Geoscience and Remote sensing 49 (10), 3906-3931, 2011 | 274 | 2011 |
| Real-time upper-body human pose estimation using a depth camera HP Jain, A Subramanian, S Das, A Mittal Computer Vision/Computer Graphics Collaboration Techniques: 5th …, 2011 | 106 | 2011 |
| See the sound, hear the pixels J Ramaswamy, S Das Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 79 | 2020 |
| Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks P Bhattacharjee, S Das Advances in Neural Information Processing Systems (NIPS) 2017 (30), 4271--4280, 2017 | 60 | 2017 |
| Indoor versus outdoor scene classification using probabilistic neural network S Gupta, L., Pathangay, V., Patra, A., Dyana, A, Das EURASIP Journal on Advances in Signal Processing 2007 (1), 1-10, 2007 | 42* | 2007 |
| System-on-programmable-chip implementation for on-line face recognition AP Kumar, V Kamakoti, S Das Pattern Recognition Letters 28 (3), 342-349, 2007 | 40 | 2007 |
| Mutual variation of information on transfer-CNN for face recognition with degraded probe samples S Banerjee, S Das Neurocomputing 310, 299-315, 2018 | 39 | 2018 |
| MST-CSS (multi-spectro-temporal curvature scale space), a novel spatio-temporal representation for content-based video retrieval A Dyana, S Das IEEE Transactions on Circuits and Systems for Video Technology 20 (8), 1080-1094, 2010 | 39 | 2010 |
| Where to look?: Mining complementary image regions for weakly supervised object localization S Babar, S Das Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 36 | 2021 |
| Face recognition using weighted modular principle component analysis AP Kumar, S Das, V Kamakoti Neural Information Processing: 11th International Conference, ICONIP 2004 …, 2004 | 33 | 2004 |
| What’s there in the dark S Nag, S Adak, S Das 2019 IEEE International Conference on Image Processing (ICIP), 2996-3000, 2019 | 32 | 2019 |
| Rv-gan: Recurrent gan for unconditional video generation S Gupta, A Keshari, S Das Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 28 | 2022 |
| One-dimensional processing of images PK Kumar, S Das, B Yegnanarayana International Conference on Multimedia Processing and Systems, 451-454, 2000 | 27 | 2000 |
| An integrated multistage framework for automatic road extraction from high resolution satellite imagery TT Mirnalinee, S Das, K Varghese Journal of the Indian Society of Remote Sensing 39, 1-25, 2011 | 26 | 2011 |
| Face recognition on low quality surveillance images, by compensating degradation S Rudrani, S Das Image Analysis and Recognition: 8th International Conference, ICIAR 2011 …, 2011 | 25 | 2011 |
| Trajectory representation using Gabor features for motion-based video retrieval A Dyana, S Das Pattern Recognition Letters 30 (10), 877-892, 2009 | 25 | 2009 |
| Capacitance of dielectric coated cylinder of finite axial length and truncated cone isolated in free space SB Chakrabarty, S Das, BN Das IEEE transactions on electromagnetic compatibility 44 (2), 394-398, 2002 | 25 | 2002 |
| Quantization error in stereo imaging systems R Balasubramanian, S Das, S Udayabaskaran, K Swaminathan International journal of computer mathematics 79 (6), 671-691, 2002 | 25 | 2002 |
| Supervised framework for automatic recognition and retrieval of interaction: a framework for classification and retrieving videos with similar human interactions C Chattopadhyay, S Das IET Computer Vision 10 (3), 220-227, 2016 | 24 | 2016 |
Suranjana SamantaResearch ScientistVerified email at in.ibm.com
