| Landmark guidance independent spatio-channel attention and complementary context information based facial expression recognition D Gera, S Balasubramanian Pattern Recognition Letters 145, 58-66, 2021 | 97 | 2021 |
| Automatic Detection of Anatomical Structures in Digital Fundus Retinal Images AV Sagar, S Balasubramanian, V Chandrasekaran International Association of Pattern Recognition’s (IAPR) conference on …, 2007 | 80 | 2007 |
| A Novel Integrated Approach using Dynamic Thresholding and Edge Detection (IDTED) for Automatic Detection of Exudates in Digital Fundus Retinal Images AV Sagar, S Balasubramanian, V Chandrasekaran International Conference on Computing: Theory and Applications (ICCTA), 705-710, 2007 | 49 | 2007 |
| Building Deep, Equivariant Capsule Networks S Venkatraman, S Balasubramanian, RR Sarma ICLR 2020, arXiv preprint arXiv:1908.01300, 2019 | 41 | 2019 |
| CERN: Compact facial expression recognition net D Gera, S Balasubramanian, A Jami Pattern Recognition Letters 155, 9-18, 2022 | 38 | 2022 |
| Layerout: Freezing layers in deep neural networks K Goutam, S Balasubramanian, D Gera, RR Sarma SN Computer Science 1 (5), 295, 2020 | 34 | 2020 |
| Affect expression behaviour analysis in the wild using spatio-channel attention and complementary context information D Gera, S Balasubramanian arXiv preprint arXiv:2009.14440, 2020 | 18 | 2020 |
| Teaching GANs to sketch in vector format SBVB Varshaneya V Proceedings of the Twelth Indian Conference on Computer Vision, Graphics and …, 2021 | 16* | 2021 |
| An Integrated Approach using Automatic Seed Generation and Hybrid Classification for the Detection of Red Lesions in Digital Fundus Images S Pradhan, S Balasubramanian, V Chandrasekaran IEEE 8th International Conference on Computer and Information Technology …, 2008 | 16 | 2008 |
| Red Lesions Detection in Digital Fundus Images S Balasubramanian, S Pradhan, V Chandrasekaran IEEE International conference on Image Processing (ICIP), 2932-2935, 2008 | 14 | 2008 |
| Res‐SE‐Net: Boosting Performance of ResNets by Enhancing Bridge Connections V Varshaneya, S Balasubramanian, D Gera Machine Learning Algorithms and Applications, 61-75, 2021 | 12 | 2021 |
| Performance Enhancement of Optic Disc Boundary Detection using Active Contours via Improved Homogenization of Optic Disc Region GV Saradhi, S Balasubramanian, V Chandrasekaran IEEE International conference on Information and Automation (ICIA), 26-269, 2006 | 12 | 2006 |
| Noisy annotations robust consensual collaborative affect expression recognition D Gera, S Balasubramanian Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 10 | 2021 |
| IoT based disease prediction using mapreduce and LSQN 3 techniques R Gopi, S Veena, S Balasubramanian, D Ramya, P Ilanchezhian, ... Intell. Autom. Soft Comput 34, 1215-1230, 2022 | 9 | 2022 |
| SS-MFAR: semi-supervised multi-task facial affect recognition D Gera, BNS Kumar, BVR Kumar, S Balasubramanian arXiv preprint arXiv:2207.09012, 2022 | 8 | 2022 |
| Affect expression behaviour analysis in the wild using consensual collaborative training D Gera, S Balasubramanian arXiv preprint arXiv:2107.05736, 2021 | 8 | 2021 |
| Learning compositional structures for deep learning: Why routing-by-agreement is necessary SR Venkatraman, A Anand, S Balasubramanian, RR Sarma arXiv preprint arXiv:2010.01488, 2020 | 8 | 2020 |
| Reducing power consumption of uncore circuitry of a processor S Balasubramanian, T Thomas, S Shrimali, B Ganesan US Patent 8,892,929, 2014 | 8 | 2014 |
| Dynamically Controlling A Maximum Operating Voltage For A Processor Z Wang, DJ Ayers, S Balasubramanian, S Gupta, S Rusu, SM Ramey US Patent App. 13/768,633, 2014 | 8 | 2014 |
| Age structured mathematical modeling studies on COVID-19 with respect to combined vaccination and medical treatment strategies B Chhetri, DKK Vamsi, DB Prakash, S Balasubramanian, CB Sanjeevi Computational and Mathematical Biophysics 10 (1), 281-303, 2022 | 7 | 2022 |
Dr. Darshan GeraAssociate Professor of Mathematics and Computer Science, SSSIHL在 sssihl.edu.in 的电子邮件经过验证
