| 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 | 314 | 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 | 113 | 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 | 59 | 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 | 44 | 2017 |
| NTIRE 2024 quality assessment of AI-generated content challenge X Liu, X Min, G Zhai, C Li, T Kou, W Sun, H Wu, Y Gao, Y Cao, Z Zhang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 28 | 2024 |
| 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 | 20 | 2022 |
| 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 | 19 | 2018 |
| Improved zero-shot classification by adapting vlms with text descriptions O Saha, G Van Horn, S Maji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 17 | 2024 |
| Improving few-shot part segmentation using coarse supervision O Saha, Z Cheng, S Maji European Conference on Computer Vision, 283-299, 2022 | 14 | 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 |
| Edgeml: machine learning for resource-constrained edge devices (2020) DK Dennis, Y Gaurkar, S Gopinath, S Goyal, C Gupta, M Jain, S Jaiswal, ... URL https://github. com/Microsoft/EdgeML, 0 | 8 | |
| 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 | 6 | 2019 |
| RecSal: Deep Recursive Supervision for Visual Saliency Prediction S Mishra, O Saha British Machine Vision Conference, 2020 | 3 | 2020 |
| Decomposed evaluations of geographic disparities in text-to-image models A Sureddy, D Padalia, N Periyakaruppa, O Saha, A Williams, ... arXiv preprint arXiv:2406.11988, 2024 | 2 | 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 | 1 | 2023 |
| Generate, Transduct, Adapt: Iterative Transduction with VLMs O Saha, L Lawrence, G Van Horn, S Maji arXiv preprint arXiv:2501.06031, 2025 | | 2025 |
| YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals S Mishra, O Saha, AC Bovik arXiv preprint arXiv:2406.16273, 2024 | | 2024 |
| C3DAG: Controlled 3D Animal Generation using 3D pose guidance S Mishra, O Saha, AC Bovik arXiv preprint arXiv:2406.07742, 2024 | | 2024 |
| Do Events Change Opinions on Social Media? Studying the 2016 US S Khosla¹, N Chhaya, S Jindal, O Saha Social Informatics: 11th International Conference, SocInfo 2019, Doha, Qatar …, 2019 | | 2019 |
| VIDMP3: Video Editing by Representing Motion with Pose and Position Priors S Mishra, O Saha, AC Bovik | | |
Subhransu MajiAssociate Professor, University of Massachusetts, Amherstכתובת אימייל מאומתת בדומיין cs.umass.edu