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20192026
most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 195 across the 76 of their papers we have counts for

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Showing 2025Show all

18 papers · 1 filter

cs.CV2025

SpectraIrisPAD: Leveraging Vision Foundation Models for Spectrally Conditioned Multispectral Iris Presentation Attack Detection

Raghavendra Ramachandra, Sushma Venkatesh

Iris recognition is widely recognized as one of the most accurate biometric modalities. However, its growing deployment in real-world applications raises significant concerns regar…

cs.CV2025

CLRecogEye : Curriculum Learning towards exploiting convolution features for Dynamic Iris Recognition

Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam +1

Iris authentication algorithms have achieved impressive recognition performance, making them highly promising for real-world applications such as border control, citizen identifica…

cs.CV2025

LatentPrintFormer: A Hybrid CNN-Transformer with Spatial Attention for Latent Fingerprint identification

Arnab Maity, Manasa, Pavan Kumar C +1

Latent fingerprint identification remains a challenging task due to low image quality, background noise, and partial impressions. In this work, we propose a novel identification ap…

cs.CV2025

Introducing Nylon Face Mask Attacks: A Dataset for Evaluating Generalised Face Presentation Attack Detection

Manasa, Sushrut Patwardhan, Narayan Vetrekar +3

Face recognition systems are increasingly deployed across a wide range of applications, including smartphone authentication, access control, and border security. However, these sys…

cs.CV2025

StableMorph: High-Quality Face Morph Generation with Stable Diffusion

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

Face morphing attacks threaten the integrity of biometric identity systems by enabling multiple individuals to share a single identity. To develop and evaluate effective morphing a…

cs.CV2025

Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025

Matej Vitek, Darian Tomašević, Abhijit Das +32

This paper presents a summary of the 2025 Sclera Segmentation Benchmarking Competition (SSBC), which focused on the development of privacy-preserving sclera-segmentation models tra…

cs.CV2025★ 4 cited

Empowering Morphing Attack Detection using Interpretable Image-Text Foundation Model

Sushrut Patwardhan, Raghavendra Ramachandra, Sushma Venkatesh

Morphing attack detection has become an essential component of face recognition systems for ensuring a reliable verification scenario. In this paper, we present a multimodal learni…

cs.CV2025

Second Competition on Presentation Attack Detection on ID Card

Juan E. Tapia, Mario Nieto, Juan M. Espin +30

This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous on…

cs.CV2025

Towards Zero-Shot Differential Morphing Attack Detection with Multimodal Large Language Models

Ria Shekhawat, Hailin Li, Raghavendra Ramachandra +1

Leveraging the power of multimodal large language models (LLMs) offers a promising approach to enhancing the accuracy and interpretability of morphing attack detection (MAD), espec…

cs.CV2025★ 2 cited

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Kai Liu, Jue Gong +108

This paper presents the NTIRE 2025 image super-resolution (4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025. The challenge aims to r…

cs.CV2025

ColFigPhotoAttnNet: Reliable Finger Photo Presentation Attack Detection Leveraging Window-Attention on Color Spaces

Anudeep Vurity, Emanuela Marasco, Raghavendra Ramachandra +1

Finger photo Presentation Attack Detection (PAD) can significantly strengthen smartphone device security. However, these algorithms are trained to detect certain types of attacks.…

cs.CV2025

Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial Curves

Abhishek Tandon, Geetanjali Sharma, Gaurav Jaswal +2

We propose a trait-specific image generation method that models forehead creases geometrically using B-spline and Bézier curves. This approach ensures the realistic generation of b…

cs.CV2025

Generalized Single-Image-Based Morphing Attack Detection Using Deep Representations from Vision Transformer

Haoyu Zhang, Raghavendra Ramachandra, Kiran Raja +1

Face morphing attacks have posed severe threats to Face Recognition Systems (FRS), which are operated in border control and passport issuance use cases. Correspondingly, morphing a…

cs.CV2025★ 4 cited

Demographic Variability in Face Image Quality Measures

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

Face image quality assessment (FIQA) algorithms are being integrated into online identity management applications. These applications allow users to upload a face image as part of…

cs.CV2025

FaceOracle: Chat with a Face Image Oracle

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

A face image is a mandatory part of ID and travel documents. Obtaining high-quality face images when issuing such documents is crucial for both human examiners and automated face r…

cs.CV2025★ 2 cited

Radial Distortion in Face Images: Detection and Impact

Wassim Kabbani, Tristan Le Pessot, Kiran Raja +2

Acquiring face images of sufficiently high quality is important for online ID and travel document issuance applications using face recognition systems (FRS). Low-quality, manipulat…

cs.CV2025

Eye Sclera for Fair Face Image Quality Assessment

Wassim Kabbani, Kiran Raja, Raghavendra Ramachandra +1

Fair operational systems are crucial in gaining and maintaining society's trust in face recognition systems (FRS). FRS start with capturing an image and assessing its quality befor…

cs.CV2025

FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection

Guray Ozgur, Eduarda Caldeira, Tahar Chettaoui +3

Although face recognition systems have seen a massive performance enhancement in recent years, they are still targeted by threats such as presentation attacks, leading to the need…