3 citations · 4 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
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…
Learning Transformations To Reduce the Geometric Shift in Object Detection
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes…
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain. While this has been well st…
DSR: Towards Drone Image Super-Resolution
Xiaoyu Lin, Baran Ozaydin, Vidit Vidit +2
Despite achieving remarkable progress in recent years, single-image super-resolution methods are developed with several limitations. Specifically, they are trained on fixed content…
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…