VIDMP3 : Video Editing by Representing Motion with Pose and Position Priors
Sandeep Mishra, Oindrila Saha, and Alan C. Bovik
Submitted, 2025
Paper
Publications
You can also find my articles on my Google Scholar profile.
Generate, Transduct, Adapt: Iterative Transduction with VLMs
Oindrila Saha, Logan Lawrence, Grant Van Horn, and Subhransu Maji
Submitted, 2025
Paper
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
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
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
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
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
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
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
RecSal : Deep Recursive Supervision for Visual Saliency Prediction
Sandeep Mishra* and Oindrila Saha*
British Machine Vision Conference (BMVC), 2020
Paper
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
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