Publications

Rabin Adhikari, Safal Thapaliya, Manish Dhakal, Bishesh Khanal (2024). TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models. Proceedings of the Asian Conference on Computer Vision (ACCV).

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Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal (2024). VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks. Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI).

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Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal (2024). Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models. Medical Imaging with Deep Learning (MIDL).

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Rabin Adhikari, Manish Dhakal, Safal Thapaliya, Kanchan Poudel, Prasiddha Bhandari, Bishesh Khanal (2023). Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography. International Workshop on Advances in Simplifying Medical Ultrasound (ASMUS), co-located with MICCAI.

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Rabin Adhikari, Safal Thapaliya, Nirajan Basnet, Samip Poudel, Aman Shakya, Bishesh Khanal (2022). COVID-19-related Nepali Tweets Classification in a Low Resource Setting. Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task (SMM4H), co-located with COLING.

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Sangam Man Buddhacharya, Rabin Adhikari, Nischal Maharjan, Sanjeeb Prasad Panday (2022). Monocular depth estimation using a multi-grid attention-based model. Journal of Innovative Image Processing.

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