20 citations · 33 across the 19 of their papers we have counts for
4 papers · 1 filter
Do Vision and Language Encoders Represent the World Similarly?
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali +4
Aligned text-image encoders such as CLIP have become the de facto model for vision-language tasks. Furthermore, modality-specific encoders achieve impressive performances in their…
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais
Most recent person re-identification approaches are based on the use of deep convolutional neural networks (CNNs). These networks, although effective in multiple tasks such as clas…
Generative Collaborative Networks for Single Image Super-Resolution
Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
A common issue of deep neural networks-based methods for the problem of Single Image Super-Resolution (SISR), is the recovery of finer texture details when super-resolving at large…
Learning More Universal Representations for Transfer-Learning
Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot +2
A representation is supposed universal if it encodes any element of the visual world (e.g., objects, scenes) in any configuration (e.g., scale, context). While not expecting pure u…