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20222026
most citedExploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

2 citations · 6 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

VFace: A Training-Free Approach for Diffusion-Based Video Face Swapping

Sanoojan Baliah, Yohan Abeysinghe, Rusiru Thushara +4

We present a training-free, plug-and-play method, namely VFace, for high-quality face swapping in videos. It can be seamlessly integrated with image-based face swapping approaches…

cs.CV2025

O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models

Ashshak Sharifdeen, Muhammad Akhtar Munir, Sanoojan Baliah +2

Test-time prompt tuning for vision-language models (VLMs) is getting attention because of their ability to learn with unlabeled data without fine-tuning. Although test-time prompt…

cs.CV2024★ 1 cited

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages

Ashmal Vayani, Dinura Dissanayake, Hasindri Watawana +66

Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cul…

cs.CV2024

Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models

Sanoojan Baliah, Qinliang Lin, Shengcai Liao +2

Despite promising progress in face swapping task, realistic swapped images remain elusive, often marred by artifacts, particularly in scenarios involving high pose variation, color…

cs.CV2024★ 1 cited

Towards Generalizing to Unseen Domains with Few Labels

Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana +1

We approach the challenge of addressing semi-supervised domain generalization (SSDG). Specifically, our aim is to obtain a model that learns domain-generalizable features by levera…

cs.CV2023★ 2 cited

Unsupervised Landmark Discovery Using Consistency Guided Bottleneck

Mamona Awan, Muhammad Haris Khan, Sanoojan Baliah +4

We study a challenging problem of unsupervised discovery of object landmarks. Many recent methods rely on bottlenecks to generate 2D Gaussian heatmaps however, these are limited in…

cs.CV2023★ 2 cited

Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

Sanoojan Baliah, Fadillah A. Maani, Santosh Sanjeev +1

Diabetic Retinopathy (DR), a leading cause of vision impairment, requires early detection and treatment. Developing robust AI models for DR classification holds substantial potenti…

cs.CV2022

Dynamic Template Initialization for Part-Aware Person Re-ID

Kalana Abeywardena, Shechem Sumanthiran, Sanoojan Baliah +5

Many of the existing Person Re-identification (Re-ID) approaches depend on feature maps which are either partitioned to localize parts of a person or reduced to create a global rep…