Rabin Adhikari

Rabin Adhikari

Natural Language Processing|Medical Imaging|Multi-modal Learning|Semi-supervised Learning|Machine Learning Applications

Publications

2024
TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models
Rabin Adhikari, Safal Thapaliya, Manish Dhakal, Bishesh Khanal
Asian Conference on Computer Vision (ACCV) 2024
Peer Reviewed Conference articleTOGAI (Transforming Global Health with AI)
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2024
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks
Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024
Peer Reviewed Conference articleTOGAI (Transforming Global Health with AI)
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2023
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography
Rabin Adhikari, Manish Dhakal, Safal Thapaliya, Kanchan Poudel, Prasiddha Bhandari, Bishesh Khanal
Simplifying Medical Ultrasound. ASMUS, 2023
Peer Reviewed Workshop articleTOGAI (Transforming Global Health with AI)
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2023
Exploring transfer learning in medical image segmentation using vision-language models
Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal
arXiv preprint arXiv:2308.07706, 2023
Pre-PrintsTOGAI (Transforming Global Health with AI)
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2022
COVID-19-related Nepali Tweets Classification in a Low Resource Setting
Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications (SMM4H), Workshop & Shared Task, COLING (2022), Korea, 2022
Peer Reviewed Workshop articleTOGAI (Transforming Global Health with AI)
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Rabin Adhikari