Oindrila Saha

According to our database1, Oindrila Saha authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals.
CoRR, 2024

Decomposed evaluations of geographic disparities in text-to-image models.
CoRR, 2024

C3DAG: Controlled 3D Animal Generation using 3D pose guidance.
CoRR, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
CoRR, 2024

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Improving Few-Shot Part Segmentation Using Coarse Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference.
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.
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.
CoRR, 2019

Do Events Change Opinions on Social Media? Studying the 2016 US Presidential Debates.
Proceedings of the Social Informatics - 11th International Conference, 2019

Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2017
Crowdsourcing for Chromosome Segmentation and Deep Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017


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