15 citations · 24 across the 6 of their papers we have counts for
7 papers
Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment
Sarah Ibrahimi, Xiaohang Sun, Pichao Wang +3
Text-to-video retrieval systems have recently made significant progress by utilizing pre-trained models trained on large-scale image-text pairs. However, most of the latest methods…
The Met Dataset: Instance-level Recognition for Artworks
Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han +3
This work introduces a dataset for large-scale instance-level recognition in the domain of artworks. The proposed benchmark exhibits a number of different challenges such as large…
Simple and Effective Balance of Contrastive Losses
Arnaud Sors, Rafael Sampaio de Rezende, Sarah Ibrahimi +1
Contrastive losses have long been a key ingredient of deep metric learning and are now becoming more popular due to the success of self-supervised learning. Recent research has sho…
Learning with Label Noise for Image Retrieval by Selecting Interactions
Sarah Ibrahimi, Arnaud Sors, Rafael Sampaio de Rezende +1
Learning with noisy labels is an active research area for image classification. However, the effect of noisy labels on image retrieval has been less studied. In this work, we propo…
Inside Out Visual Place Recognition
Sarah Ibrahimi, Nanne van Noord, Tim Alpherts +1
Visual Place Recognition (VPR) is generally concerned with localizing outdoor images. However, localizing indoor scenes that contain part of an outdoor scene can be of large value…
Detecting CNN-Generated Facial Images in Real-World Scenarios
Nils Hulzebosch, Sarah Ibrahimi, Marcel Worring
Artificial, CNN-generated images are now of such high quality that humans have trouble distinguishing them from real images. Several algorithmic detection methods have been propose…
Conditional Image Generation and Manipulation for User-Specified Content
David Stap, Maurits Bleeker, Sarah Ibrahimi +1
In recent years, Generative Adversarial Networks (GANs) have improved steadily towards generating increasingly impressive real-world images. It is useful to steer the image generat…