| Region-based active learning for efficient labeling in semantic segmentation T Kasarla, G Nagendar, GM Hegde, V Balasubramanian, CV Jawahar 2019 IEEE winter conference on applications of computer vision (WACV), 1109-1117, 2019 | 44 | 2019 |
| Neuro-IoU: Learning a Surrogate Loss for Semantic Segmentation. G Nagendar, D Singh, VN Balasubramanian, CV Jawahar BMVC, 278, 2018 | 25 | 2018 |
| Efficient word image retrieval using fast DTW distance G Nagendar, CV Jawahar 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 18 | 2015 |
| Action recognition using canonical correlation kernels G Nagendar, S Ganesh Bandiatmakuri, M Goud Tandarpally, CV Jawahar Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 11 | 2013 |
| Fast approximate dynamic warping kernels G Nagendar, CV Jawahar Proceedings of the 2nd ACM IKDD Conference on Data Sciences, 30-38, 2015 | 3 | 2015 |
| Contrastive Graph Learning with Graph Convolutional Networks G Nagendar, R Sitaram Document Analysis Systems, 96–110, 2022 | 1 | 2022 |
| Efficient Query Specific DTW Distance for Document Retrieval with Unlimited Vocabulary G Nagendar, V Ranjan, G Harit, CV Jawahar Journal of Imaging 4 (2), 37, 2018 | 1 | 2018 |
| Surrogate Approximations for Similarity Measures G Nagendar International Institute of Information Technology, Hyderabad, 2023 | | 2023 |
| NeuroIoU: Learning a Surrogate Loss for Semantic Segmentation CV Jawahar, VN Balasubramanian, G Nagendar | | 2018 |
