Safal Thapaliya

According to our database, Safal Thapaliya authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Semantic Refinement with LLMs for Graph Representations.

Safal Thapaliya, Zehong Wang, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang

CoRR, December, 2025

2024

Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models.

Kanchan Poudel, Manish Dhakal, Prasiddha Bhandari, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks.

Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models.

Rabin Adhikari, Safal Thapaliya, Manish Dhakal, Bishesh Khanal

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Deep-learning assisted detection and quantification of (oo)cysts of Giardia and Cryptosporidium on smartphone microscopy images.

Suprim Nakarmi, Sanam Pudasaini, Safal Thapaliya, Pratima Upretee, Retina Shrestha, Basant Giri, Bhanu Bhakta Neupane, Bishesh Khanal

CoRR, 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

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

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, 2022