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Posts

Future Blog Post

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Blog Post number 1

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publications

Crowdsourcing for Chromosome Segmentation and Deep Classification

Crowdsourcing for Chromosome Segmentation and Deep Classification

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

CVMI Workshop @ Computer Vision and Pattern Recognition, (CVPR), 2017

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

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

Oindrila Saha , Rachana Sathish and Debdoot Sheet

Medical Imaging with Deep Learning (MIDL), 2019

Paper
RecSal : Deep Recursive Supervision for Visual Saliency Prediction

RecSal : Deep Recursive Supervision for Visual Saliency Prediction

Sandeep Mishra* and Oindrila Saha*

British Machine Vision Conference (BMVC), 2020

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

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

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

Neural Information Processing Systems (NeurIPS), 2020

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

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

Oindrila Saha , Zezhou Cheng and Subhransu Maji

Computer Vision and Pattern Recognition Conference (CVPR), 2022

Paper Code Page Video
Improving Few-Shot Part Segmentation using Coarse Supervision

Improving Few-Shot Part Segmentation using Coarse Supervision

Oindrila Saha , Zezhou Cheng and Subhransu Maji

European Conference of Computer Vision (ECCV), 2022

Paper Code Page Video
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition

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

Oindrila Saha and Subhransu Maji

ViPriors Workshop International Conference of Computer Vision (ICCVW), 2023

Paper Code Page
Decomposed evaluations of geographic disparities in text-to-image models

Decomposed evaluations of geographic disparities in text-to-image models

Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppan*, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko and Melissa Hall

TiFA Workshop @ ICML 2024 and Next Gen AI Safety Workshop @ ICML 2024, 2024

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

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions

Oindrila Saha, Grant Van Horn and Subhransu Maji

Computer Vision and Pattern Recognition Conference (CVPR), 2024

Paper Code Video
YOUDREAM : Generating Anatomically Controllable Consistent Text-to-3D Animals

YOUDREAM : Generating Anatomically Controllable Consistent Text-to-3D Animals

Sandeep Mishra*, Oindrila Saha*, and Alan C. Bovik

Neural Information Processing Systems (NeurIPS), 2024

Paper Code
Generate, Transduct, Adapt: Iterative Transduction with VLMs

Generate, Transduct, Adapt: Iterative Transduction with VLMs

Oindrila Saha, Logan Lawrence, Grant Van Horn, and Subhransu Maji

Submitted, 2025

Paper
VIDMP3 : Video Editing by Representing Motion with Pose and Position Priors

VIDMP3 : Video Editing by Representing Motion with Pose and Position Priors

Sandeep Mishra, Oindrila Saha, and Alan C. Bovik

Submitted, 2025

Paper

talks

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