84 citations · 197 across the 10 of their papers we have counts for
14 papers
Evaluating the Impact of Tiled User-Adaptive Real-Time Point Cloud Streaming on VR Remote Communication
Shishir Subramanyam, Irene Viola, Jack Jansen +3
Remote communication has rapidly become a part of everyday life in both professional and personal contexts. However, popular video conferencing applications present limitations in…
New Insights into Metric Optimization for Ranking-based Recommendation
Roger Zhe Li, Julián Urbano, Alan Hanjalic
Direct optimization of IR metrics has often been adopted as an approach to devise and develop ranking-based recommender systems. Most methods following this approach aim at optimiz…
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
Roger Zhe Li, Julián Urbano, Alan Hanjalic
In a collaborative-filtering recommendation scenario, biases in the data will likely propagate in the learned recommendations. In this paper we focus on the so-called mainstream bi…
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding
Manel Slokom, Martha Larson, Alan Hanjalic
This paper demonstrates the potential of statistical disclosure control for protecting the data used to train recommender systems. Specifically, we use a synthetic data generation…
S2IGAN: Speech-to-Image Generation via Adversarial Learning
Xinsheng Wang, Tingting Qiao, Jihua Zhu +2
An estimated half of the world's languages do not have a written form, making it impossible for these languages to benefit from any existing text-based technologies. In this paper,…
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
Tan Wang, Xing Xu, Yang Yang +3
A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on…