| A deep learning framework for segmentation of retinal layers from OCT images K Gopinath, SB Rangrej, J Sivaswamy 2017 4th IAPR Asian conference on pattern recognition (ACPR), 888-893, 2017 | 26 | 2017 |
| Few-shot learning with noisy labels KJ Liang, SB Rangrej, V Petrovic, T Hassner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 12 | 2022 |
| Consistency driven sequential transformers attention model for partially observable scenes SB Rangrej, CL Srinidhi, JJ Clark Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 7 | 2022 |
| A probabilistic hard attention model for sequentially observed scenes SB Rangrej, JJ Clark arXiv preprint arXiv:2111.07534, 2021 | 6 | 2021 |
| Assistive lesion-emphasis system: an assistive system for fundus image readers SB Rangrej, J Sivaswamy Journal of Medical Imaging 4 (2), 024503-024503, 2017 | 4 | 2017 |
| Scan, dwell, decide: Strategies for detecting abnormalities in diabetic retinopathy SB Rangrej, J Sivaswamy, P Srivastava PloS one 13 (11), e0207086, 2018 | 3 | 2018 |
| GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction SB Rangrej, KJ Liang, T Hassner, JJ Clark Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 1 | 2023 |
| Visual Attention in Imaginative Agents SB Rangrej, JJ Clark arXiv preprint arXiv:2104.00177, 2021 | 1 | 2021 |
| Visual Perception Based Assistance for Fundus Image Readers SB Rangrej International Institute of Information Technology Hyderabad, 2017 | | 2017 |
| A biologically inspired saliency model for color fundus images SB Rangrej, J Sivaswamy Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016 | | 2016 |
| Achieving Explainability in a Visual Hard Attention Model through Content Prediction SB Rangrej, JJ Clark | | |
| Label Noise Resiliency with Self-supervised Representations Z Vaseqi, I Amara, S Rangrej | | |
| Revisiting Linear Decision Boundaries for Few-Shot Learning with Transformer Hypernetworks SB Rangrej, KJ Liang, X Yin, G Pang, T Karaletsos, L Wolf, T Hassner | | |
