3 citations · 5 across the 8 of their papers we have counts for
17 papers
A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers
Mahsa Shafaei, Christos Smailis, Ioannis A. Kakadiaris +1
In this work, we explore different approaches to combine modalities for the problem of automated age-suitability rating of movie trailers. First, we introduce a new dataset contain…
DBLFace: Domain-Based Labels for NIR-VIS Heterogeneous Face Recognition
Ha Le, Ioannis A. Kakadiaris
Deep learning-based domain-invariant feature learning methods are advancing in near-infrared and visible (NIR-VIS) heterogeneous face recognition. However, these methods are prone…
On Improving the Generalization of Face Recognition in the Presence of Occlusions
Xiang Xu, Nikolaos Sarafianos, Ioannis A. Kakadiaris
In this paper, we address a key limitation of existing 2D face recognition methods: robustness to occlusions. To accomplish this task, we systematically analyzed the impact of faci…
Adversarial Representation Learning for Text-to-Image Matching
Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris
For many computer vision applications such as image captioning, visual question answering, and person search, learning discriminative feature representations at both image and text…
Occlusion-guided compact template learning for ensemble deep network-based pose-invariant face recognition
Yuhang Wu, Ioannis A. Kakadiaris
Concatenation of the deep network representations extracted from different facial patches helps to improve face recognition performance. However, the concatenated facial template i…
Open Source Face Recognition Performance Evaluation Package
Xiang Xu, Ioannis A. Kakadiaris
Biometrics-related research has been accelerated significantly by deep learning technology. However, there are limited open-source resources to help researchers evaluate their deep…