Prashant Shrestha
![prof_pic.jpg](/assets/img/prof_pic.jpg?ee31a4e3736018f8d3f95eb23a5b4810)
Find my CV here.
I’m an electronics engineering graduate from Pulchowk Campus, IOE, Nepal. I work with Dr. Binod Bhattarai as a research assistant at NAAMII, a reputable research organization. I am interested in developing robust models in the presence of limited and/or noisy public data. Thus my primary research revolves around federated learning, self-supervised learning, multimodal learning, and learning with noisy labels.
Research Interests: Federated Learning, Self-supervised Learning, Multimodal Learning, Learning with Noisy Labels
Selected Publications
- WACV WorkshopCross-modal Contrastive Learning with Asymmetric Co-attention Network for Video Moment RetrievalIn Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
- IPCAIInvestigation of Federated Learning Algorithms for Retinal Optical Coherence Tomography Image Classification with Statistical HeterogeneityIn IPCAI, Long Abstract, 2024
- MICCAICAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing ModalitiesIn MICCAI, 2024
- EMBCInvestigating the Robustness of Vision Transformers against Label Noise in Medical Image ClassificationIn EMBC, 2024
- preprintMedical Vision Language Pretraining: A surveyarXiv preprint arXiv:2312.06224, 2023