Oindrila Saha

According to our database, Oindrila Saha authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions.

Oindrila Saha, Grant Van Horn, Subhransu Maji

CoRR, 2024

2023

PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition.

Oindrila Saha, Subhransu Maji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Improving Few-Shot Part Segmentation Using Coarse Supervision.

Oindrila Saha, Zezhou Cheng, Subhransu Maji

Proceedings of the Computer Vision - ECCV 2022, 2022

GANORCON: Are Generative Models Useful for Few-shot Segmentation?

Oindrila Saha, Zezhou Cheng, Subhransu Maji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference.

Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri, Manik Varma, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

RecSal : Deep Recursive Supervision for Visual Saliency Prediction.

Oindrila Saha, Sandeep Mishra

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy.

Oindrila Saha, Rachana Sathish, Debdoot Sheet

CoRR, 2019

Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates.

Sopan Khosla, Niyati Chhaya, Shivam Jindal, Oindrila Saha, Milind Srivastava

Proceedings of the Social Informatics - 11th International Conference, 2019

Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images.

Oindrila Saha, Rachana Sathish, Debdoot Sheet

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2017

Crowdsourcing for Chromosome Segmentation and Deep Classification.

Monika Sharma, Oindrila Saha, Anand Sriraman, Ramya Hebbalaguppe, Lovekesh Vig, Shirish Karande

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017