activity
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

collaborators

87 papers

cs.CV2026

Enhancing Cross-Grade Generalization in Banana Variety Classification via Hybrid CNN-Transformers and Knowledge Self-Distillation

Khush Kataruka, Mohammad Muzammila, Zahid Akhtar +2

In recent years, automated fruit classification systems have become a more critical component in precision agriculture for efficient yield estimation, quality control, and supply c…

cs.CV2026

WaveSpec: Multi-Spectral Iris Presentation Attack Detection via Wavelength-Conditioned Spectral Coherence Adaptation

Raghavendra Ramachandra

Multispectral iris presentation attack detection benefits from observing the same iris across multiple near-infrared wavelengths, but existing methods often use wavelength informat…

cs.CV2026

OpenVeinNet: Robust Open-Set Finger Vein Verification with Dynamic Snake Convolution and Graph Learning

Sushrut Patwardhan, Raghavendra Ramachandra

Finger vein verification is a promising biometric modality for secure authentication because vascular patterns are internal, difficult to observe externally, and relatively resista…

cs.CR2026

From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection

Gourab Das, Pavan Kumar C, Raghavendra Ramachandra

Identity document forgery has undergone a fundamental capability shift: generative AI tools now enable high-fidelity document synthesis and field-level manipulation with minimal te…

cs.CV2026

A Systematic Failure Analysis of Vision Foundation Models for Open Set Iris Presentation Attack Detection

Rahul Anand, Siddharth Singh, Dileep A D +2

Vision foundation models have demonstrated strong transferability across diverse visual recognition tasks and are increasingly considered for biometric applications. Their suitabil…

cs.CV2026

DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion

Tahar Chettaoui, Eduarda Caldeira, Guray Ozgur +3

Advancing face morphing attack techniques is crucial to anticipate evolving threats and develop robust defensive mechanisms for identity verification systems. This work introduces…

cs.CV2026

R-FLoRA: Residual-Statistic-Gated Low-Rank Adaptation for Single-Image Face Morphing Attack Detection

Raghavendra Ramachandra

Face morphing attacks pose a substantial risk to the reliability of face recognition systems used in passport issuance, border control, and digital identity verification. Detecting…

cs.CV2026

The Fourth Challenge on Image Super-Resolution (4) at NTIRE 2026: Benchmark Results and Method Overview

Zheng Chen, Kai Liu, Jingkai Wang +150

This paper presents the NTIRE 2026 image super-resolution (4) challenge, one of the associated competitions of the NTIRE 2026 Workshop at CVPR 2026. The challenge aims to r…

cs.SD2026

Time-Domain Voice Identity Morphing (TD-VIM): A Signal-Level Approach to Morphing Attacks on Speaker Verification Systems

Aravinda Reddy PN, Raghavendra Ramachandra, K. Sreenivasa Rao +2

In biometric systems, it is a common practice to associate each sample or template with a specific individual. Nevertheless, recent studies have demonstrated the feasibility of gen…

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…