14 citations · 26 across the 12 of their papers we have counts for
12 papers
Learning Late, Guiding Early: Timestep-Decoupled Semantic Guidance for Fair Face Generation
Subir Kumar Parida, Rajbabu Velmurugan, Ketan Kotwal +2
Demographic imbalance in synthetic face generation can propagate to downstream face recognition systems, making fairness an important consideration when diffusion models are used f…
Detecting Text Manipulation in Images using Vision Language Models
Vidit Vidit, Pavel Korshunov, Amir Mohammadi +3
Recent works have shown the effectiveness of Large Vision Language Models (VLMs or LVLMs) in image manipulation detection. However, text manipulation detection is largely missing i…
Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data
Pavel Korshunov, Ketan Kotwal, Christophe Ecabert +3
Synthetic data has emerged as a promising alternative for training face recognition (FR) models, offering advantages in scalability, privacy compliance, and potential for bias miti…
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…
Review of Demographic Fairness in Face Recognition
Ketan Kotwal, Sebastien Marcel
Demographic fairness in face recognition (FR) has emerged as a critical area of research, given its impact on fairness, equity, and reliability across diverse applications. As FR t…
VRBiom: A New Periocular Dataset for Biometric Applications of HMD
Ketan Kotwal, Ibrahim Ulucan, Gokhan Ozbulak +2
With advancements in hardware, high-quality HMD devices are being developed by numerous companies, driving increased consumer interest in AR, VR, and MR applications. In this work,…
- An Open Source Modular Platform for Contactless Hand Vascular Biometric Experiments
David Geissbühler, Sushil Bhattacharjee, Ketan Kotwal +2
Current finger-vein or palm-vein recognition systems usually require direct contact of the subject with the apparatus. This can be problematic in environments where hygiene is of p…
Latent Enhancing AutoEncoder for Occluded Image Classification
Ketan Kotwal, Tanay Deshmukh, Preeti Gopal
Large occlusions result in a significant decline in image classification accuracy. During inference, diverse types of unseen occlusions introduce out-of-distribution data to the cl…
EFaR 2023: Efficient Face Recognition Competition
Jan Niklas Kolf, Fadi Boutros, Jurek Elliesen +24
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition rece…
EdgeFace: Efficient Face Recognition Model for Edge Devices
Anjith George, Christophe Ecabert, Hatef Otroshi Shahreza +2
In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of…
Residual Feature Pyramid Network for Enhancement of Vascular Patterns
Ketan Kotwal, Sebastien Marcel
The accuracy of finger vein recognition systems gets degraded due to low and uneven contrast between veins and surroundings, often resulting in poor detection of vein patterns. We…
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language
Shantipriya Parida, Idris Abdulmumin, Shamsuddeen Hassan Muhammad +7
This paper presents HaVQA, the first multimodal dataset for visual question-answering (VQA) tasks in the Hausa language. The dataset was created by manually translating 6,022 Engli…