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20222026
most citedLT-ViT: A Vision Transformer for multi-label Chest X-ray classification

19 citations · 24 across the 18 of their papers we have counts for

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cs.CV2026

From Gaze to Meaning: A Training-Free AI Agent for Unified Grounding and Explanation

Shayan Nasiriboukani, Sara Atito, Mohammad Nezamipour +1

Understanding human attention is fundamental for scene interpretation, yet existing approaches often rely on heavily trained models that lack interpretability. Prior methods strugg…

cs.CV2026

MorphUNet: Alpha-Controlled Biometric Transport for Diffusion-Based Face Morphing Attacks

Taimoor Rizwan, Sara Atito, Zhenhua Feng +2

Face morphing attacks create synthetic images verifiable against multiple identities, threatening border control and identity verification systems. We introduce MorphUNet, a diffus…

cs.CV2026

Diff-ID: Identity Consistent Facial Image Generation and Morphing via Diffusion Models

Taimoor Rizwan, Sara Atito, Muhammad Awais +2

Generative diffusion models have revolutionized facial image synthesis, yet robust identity preservation in high resolution outputs remains a critical challenge. This issue is espe…

cs.CV2026

See Fair, Speak Truth: Equitable Attention Improves Grounding and Reduces Hallucination in Vision-Language Alignment

Mohammad Anas Azeez, Ankan Deria, Zohaib Hasan Siddiqui +5

Multimodal large language models (MLLMs) frequently hallucinate objects that are absent from the visual input, often because attention during decoding is disproportionately drawn t…

cs.CV2026

CoLA: Cross-Modal Low-rank Adaptation for Multimodal Downstream Tasks

Wish Suharitdamrong, Tony Alex, Muhammad Awais +1

Foundation models have revolutionized AI, but adapting them efficiently for multimodal tasks, particularly in dual-stream architectures composed of unimodal encoders, such as DINO…

cs.CV2026

Domain Adaptation Without the Compute Burden for Efficient Whole Slide Image Analysis

Umar Marikkar, Muhammad Awais, Sara Atito

Computational methods on analyzing Whole Slide Images (WSIs) enable early diagnosis and treatments by supporting pathologists in detection and classification of tumors. However, th…