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Oindrila Saha
Oindrila Saha
UMass Amherst
Verified email at microsoft.com
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Cited by
Cited by
Year
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
2592020
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
1052017
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
562020
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
402017
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
202018
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
172022
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
112019
Improving few-shot part segmentation using coarse supervision
O Saha, Z Cheng, S Maji
European Conference on Computer Vision, 283-299, 2022
92022
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
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
52019
RecSal: Deep Recursive Supervision for Visual Saliency Prediction
S Mishra, O Saha
British Machine Vision Conference, 2020
32020
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
12024
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals
S Mishra, O Saha, AC Bovik
arXiv preprint arXiv:2406.16273, 2024
2024
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
2024
C3DAG: Controlled 3D Animal Generation using 3D pose guidance
S Mishra, O Saha, AC Bovik
arXiv preprint arXiv:2406.07742, 2024
2024
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
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
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