2 citations · 2 across the 2 of their papers we have counts for
6 papers
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
Christian Ganhör, Marta Moscati, Anna Hausberger +2
Most recommender systems adopt collaborative filtering (CF) and provide recommendations based on past collective interactions. Therefore, the performance of CF algorithms degrades…
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Muhammad Saad Saeed, Shah Nawaz, Pietro Morerio +4
Recent years have seen a surge in finding association between faces and voices within a cross-modal biometric application along with speaker recognition. Inspired from this, we int…
Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals
Shah Nawaz, Muhammad Kamran Janjua, Ignazio Gallo +2
We propose a novel deep training algorithm for joint representation of audio and visual information which consists of a single stream network (SSNet) coupled with a novel loss func…
Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition
Omer Arshad, Ignazio Gallo, Shah Nawaz +1
With massive explosion of social media such as Twitter and Instagram, people daily share billions of multimedia posts, containing images and text. Typically, text in these posts is…
Image and Encoded Text Fusion for Multi-Modal Classification
Ignazio Gallo, Alessandro Calefati, Shah Nawaz +1
Multi-modal approaches employ data from multiple input streams such as textual and visual domains. Deep neural networks have been successfully employed for these approaches. In thi…
Git Loss for Deep Face Recognition
Alessandro Calefati, Muhammad Kamran Janjua, Shah Nawaz +1
Convolutional Neural Networks (CNNs) have been widely used in computer vision tasks, such as face recognition and verification, and have achieved state-of-the-art results due to th…