| 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 | 92 | 2021 |
| CERN: Compact facial expression recognition net D Gera, S Balasubramanian, A Jami Pattern Recognition Letters 155, 9-18, 2022 | 37 | 2022 |
| Layerout: Freezing layers in deep neural networks K Goutam, S Balasubramanian, D Gera, RR Sarma SN Computer Science 1 (5), 295, 2020 | 32 | 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 |
| 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 | 11 | 2021 |
| 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 |
| 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 |
| Consensual collaborative training and knowledge distillation based facial expression recognition under noisy annotations D Gera, S Balasubramanian arXiv preprint arXiv:2107.04746, 2021 | 7 | 2021 |
| Dynamic adaptive threshold based learning for noisy annotations robust facial expression recognition D Gera, BV Raj Kumar, NSK Badveeti, S Balasubramanian Multimedia Tools and Applications 83 (16), 49537-49566, 2024 | 6 | 2024 |
| Handling ambiguous annotations for facial expression recognition in the wild D Gera, VG N Proceedings of the twelfth Indian conference on computer vision, graphics …, 2021 | 6 | 2021 |
| Multiple face-component analysis: A unified approach towards facial recognition tasks S Venkatraman, S Balasubramanian, D Gera 2017 2nd International Conference on Man and Machine Interfacing (MAMI), 1-6, 2017 | 5 | 2017 |
| Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition D Gera, BNS Kumar, BVR Kumar, S Balasubramanian arXiv preprint arXiv:2305.01884, 2023 | 4 | 2023 |
| Abaw: Facial expression recognition in the wild D Gera, BNS Kumar, BVR Kumar, S Balasubramanian arXiv preprint arXiv:2303.09785, 2023 | 4 | 2023 |
| Unmasking your expression: Expression-conditioned gan for masked face inpainting S Sola, D Gera Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 4 | 2023 |
| Imponderous net for facial expression recognition in the wild D Gera, S Balasubramanian arXiv preprint arXiv:2103.15136, 2021 | 3 | 2021 |
| CO-CURING NOISY ANNOTATIONS FOR FACIAL EXPRESSION RECOGNITION D Gera, S Balasubramanian | 3 | 2021 |
| Masked student dataset of expressions S Sola, D Gera Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics …, 2022 | 2 | 2022 |
| Facial Affect Recognition Using Semi-supervised Learning with Adaptive Threshold D Gera, BV Raj Kumar, NSK Badveeti, S Balasubramanian European Conference on Computer Vision, 31-44, 2022 | 2 | 2022 |
| Instance Discrimination Based Robust Training for Facial Expression Recognition Under Noisy Labels GN Vikas, D Gera, S Balasubramanian SN Computer Science 4 (1), 6, 2022 | 1 | 2022 |
S. BalasubramanianAssociate Professor, SSSIHL在 sssihl.edu.in 的电子邮件经过验证
