Safal Thapaliya

Hello there! I’m Safal Thapaliya. I am a Research Assistant at Nepal Applied Mathematics and Informatics Institute for research(NAAMII). At NAAMII, my primary research focuses on computer vision applications in medical imaging, under the supervision of Bishesh Khanal, Ph.D.

My primary research interests are:

vision-language models
multi-modal learning
self-supervised learning
medical image analysis

I hold a Bachelor’s Degree in Computer Engineering from the Institute of Engineering, Pulchowk Campus. My bachelor’s thesis was supervised by Aman Shakya, Ph.D and Bishesh Khanal, Ph.D.

In my leisure, I love to play and watch football ⚽.

selected publications

* indicates equal contribution

2024

MIDL

Exploring Transfer Learning in Medical Image Segmentation using VLMs

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

In Medical Imaging with Deep Learning, 2024

MIDL24 oral presentation

arXiv PDF Code

MICCAI

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

Manish Dhakal, Rabin Adhikari, Safal Thapaliya, and Bishesh Khanal

arXiv preprint arXiv:2405.06196, 2024

Accepted at MICCAI24

arXiv Bib Code

@article{dhakal2024vlsm,
  title = {VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight Blocks},
  author = {Dhakal, Manish and Adhikari, Rabin and Thapaliya, Safal and Khanal, Bishesh},
  journal = {arXiv preprint arXiv:2405.06196},
  year = {2024},
  note = {Accepted at MICCAI24},
  url = {https://arxiv.org/abs/2405.06196},
}

ACCV

TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models

Rabin Adhikari, Safal Thapaliya, Manish Dhakal, and Bishesh Khanal

2024

Accepted for oral presentation at ACCV 2024

arXiv Code