| Idrid: Diabetic retinopathy–segmentation and grading challenge P Porwal, S Pachade, M Kokare, G Deshmukh, J Son, W Bae, L Liu, ... Medical image analysis 59, 101561, 2020 | 229 | 2020 |
| Crowdsourcing for chromosome segmentation and deep classification M Sharma*, O Saha*, A Sriraman, R Hebbalaguppe, L Vig, S Karande Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 102 | 2017 |
| RNNPool: Efficient non-linear pooling for RAM constrained inference O Saha, A Kusupati, HV Simhadri, M Varma, P Jain Advances in Neural Information Processing Systems 33, 20473-20484, 2020 | 54 | 2020 |
| EdgeML: Machine LEARNING for Resource-Constrained Edge Devices DK Dennis, Y Gaurkar, S Gopinath, S Goyal, C Gupta, M Jain, A Kumar, ... https://github. com/Microsoft/EdgeML, 2017 | 39 | 2017 |
| Fully convolutional neural network for semantic segmentation of anatomical structure and pathologies in colour fundus images associated with diabetic retinopathy O Saha, R Sathish, D Sheet International Symposium of Biomedical Imaging, 2018 | 21 | 2018 |
| GANORCON: Are generative models useful for few-shot segmentation? O Saha, Z Cheng, S Maji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 13 | 2022 |
| Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images O Saha, R Sathish, D Sheet International Conference on Medical Imaging with Deep Learning, 414-426, 2019 | 11 | 2019 |
| Improving few-shot part segmentation using coarse supervision O Saha, Z Cheng, S Maji European Conference on Computer Vision, 283-299, 2022 | 8 | 2022 |
| Edgeml: machine learning for resource-constrained edge devices (2020) DK Dennis | 6 | |
| Do events change opinions on social media? Studying the 2016 us presidential debates S Khosla, N Chhaya, S Jindal, O Saha, M Srivastava Social Informatics: 11th International Conference, SocInfo 2019, Doha, Qatar …, 2019 | 5 | 2019 |
| RecSal: Deep Recursive Supervision for Visual Saliency Prediction S Mishra, O Saha British Machine Vision Conference, 2020 | 3 | 2020 |
| Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions O Saha, G Van Horn, S Maji arXiv preprint arXiv:2401.02460, 2024 | | 2024 |
| PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition O Saha, S Maji Proceedings of the IEEE/CVF International Conference on Computer Vision, 167-176, 2023 | | 2023 |
Aditya KusupatiUniversity of Washington, Google ResearchVerified email at cs.washington.edu
