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N. Mahla

6 papers hereh-index 29 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedFESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis

5 citations · 6 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

Federated Cross-Modal Style-Aware Prompt Generation

Suraj Prasad, Navyansh Mahla, Sunny Gupta +1

Prompt learning has propelled vision-language models like CLIP to excel in diverse tasks, making them ideal for federated learning due to computational efficiency. However, convent…

cs.CV2024★ 1 cited

MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM

Navyansh Mahla, Annie D'souza, Shubh Gupta +2

The application of large-scale models in medical image segmentation demands substantial quantities of meticulously annotated data curated by experts along with high computational r…

cs.CV2024★ 5 cited

FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image Analysis

Charulkumar Chodvadiya, Navyansh Mahla, Kinshuk Gaurav Singh +1

Medical image segmentation is a critical process in the field of medical imaging, playing a pivotal role in diagnosis, treatment, and research. It involves partitioning of an image…

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