Safal Thapaliya

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Hello there! I am Safal Thapaliya. I am a first year PhD student in Computer Science and Engineering at the School of Computing, University of Connecticut. At UConn, I work in the MINDS Lab supervised by Prof. Chuxu Zhang. My research currently focuses on the intersection of graph learning and large language models. I am working on leveraging large language models (LLMs) to generate good representations for text-attributed graphs.

Before joining UConn, I worked at Nepal Applied Mathematics and Informatics Institute for research (NAAMII), supervised by Bishesh Khanal, Ph.D., where my primary research focus was on using vision-language models for medical image segmentation.

Research Interests

I am mainly interested in developing resource-efficient techniques to utilize data of different modalities for resource-constrained settings. Recently, I am working in leveraging LLMs to describe the topological information of graph data.

Publications

* indicates equal contribution

TuneVLSeg: Prompt Tuning Benchmark for Vision-Language Segmentation Models

Rabin Adhikari, Safal Thapaliya, Manish Dhakal, Bishesh Khanal

(2024)

Asian Conference on Computer Vision (ACCV 2024)

Oral Presentation

PDF Code

Vlsm-adapter: Finetuning vision-language segmentation efficiently with lightweight blocks

Manish Dhakal, Rabin Adhikari, Safal Thapaliya, Bishesh Khanal

(2024)

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)

PDF Code

Exploring Transfer Learning in Medical Image Segmentation using VLMs

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

(2024)

Medical Imaging in Deep Learning 2024

Oral Presentation

PDF Code

For a complete list of publications, see my google scholar.