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20162026
most citedHierarchical Representation Learning for Kinship Verification

81 citations · 275 across the 51 of their papers we have counts for

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Showing 2025Show all

12 papers · 1 filter

cs.CV2025

NutriScreener: Retrieval-Augmented Multi-Pose Graph Attention Network for Malnourishment Screening

Misaal Khan, Mayank Vatsa, Kuldeep Singh +1

Child malnutrition remains a global crisis, yet existing screening methods are laborious and poorly scalable, hindering early intervention. In this work, we present NutriScreener,…

cs.CV2025

Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation

Mayank Vatsa, Aparna Bharati, Richa Singh

The architectural blueprint of today's leading text-to-image models contains a fundamental flaw: an inability to handle logical composition. This survey investigates this breakdown…

cs.CV2025

TAIGen: Training-Free Adversarial Image Generation via Diffusion Models

Susim Roy, Anubhooti Jain, Mayank Vatsa +1

Adversarial attacks from generative models often produce low-quality images and require substantial computational resources. Diffusion models, though capable of high-quality genera…

cs.SD2025★ 1 cited

Quantum-Inspired Audio Unlearning: Towards Privacy-Preserving Voice Biometrics

Shreyansh Pathak, Sonu Shreshtha, Richa Singh +1

The widespread adoption of voice-enabled authentication and audio biometric systems have significantly increased privacy vulnerabilities associated with sensitive speech data. Comp…

cs.CV2025

Harmonizing Geometry and Uncertainty: Diffusion with Hyperspheres

Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral +2

Do contemporary diffusion models preserve the class geometry of hyperspherical data? Standard diffusion models rely on isotropic Gaussian noise in the forward process, inherently f…

cs.SD2025

Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages

Rishabh Ranjan, Likhith Ayinala, Mayank Vatsa +1

This paper introduces a novel multimodal framework for hate speech detection in deepfake audio, excelling even in zero-shot scenarios. Unlike previous approaches, our method uses c…