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cs.CV2026

GaitFace: A Multimodal Dataset for Long-Range Person Identification

Alain Komaty, Luis S. Luevano, Vidit Vidit +3

Efficient border control is becoming a significant global challenge, mainly due to severe congestion and extended passenger waiting times. To mitigate these bottlenecks and facilit…

cs.CV2026

DriveFace: A Cross-Spectral Through-Glass Face Dataset for On-the-Move Vehicular Border Control

Anjith George, Luis S. Luevano, Alain Komaty +3

The continuous growth in cross-border mobility places increasing pressure on existing border control infrastructures, motivating on-the-move biometric authentication, in which trav…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment

Yingxue Yu, Vidit Vidit, Andrey Davydov +2

Animal Re-ID is crucial for wildlife conservation, yet it faces unique challenges compared to person Re-ID. First, the scarcity and lack of diversity in datasets lead to background…

cs.CV2021

Attention-based Domain Adaptation for Single Stage Detectors

Vidit Vidit, Mathieu Salzmann

While domain adaptation has been used to improve the performance of object detectors when the training and test data follow different distributions, previous work has mostly focuse…