Divyanshu Mishra
Orcid: 0000-0002-3264-8739
According to our database1,
Divyanshu Mishra
authored at least 12 papers
between 2023 and 2025.
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Bibliography
2025
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation.
CoRR, June, 2025
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos.
CoRR, March, 2025
TIER-LOC: Visual Query-based Video Clip Localization in fetal ultrasound videos with a multi-tier transformer.
Medical Image Anal., 2025
F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Incongruent Multimodal Federated Learning for Medical Vision and Language-based Multi-label Disease Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
FedPIA - Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
MCAT: Visual Query-Based Localization of Standard Anatomical Clips in Fetal Ultrasound Videos Using Multi-Tier Class-Aware Token Transformer.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
F<sup>3</sup>OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics.
CoRR, 2024
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection.
CoRR, 2024
STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023