11 citations · 11 across the 2 of their papers we have counts for
5 papers
Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset
Miklas Strøm Kristoffersen, Martin Bo Møller, Pablo Martínez-Nuevo +1
Knowledge of loudspeaker responses are useful in a number of applications, where a sound system is located inside a room that alters the listening experience depending on position…
Deep Joint Embeddings of Context and Content for Recommendation
Miklas S. Kristoffersen, Jacob L. Wieland, Sven E. Shepstone +2
This paper proposes a deep learning-based method for learning joint context-content embeddings (JCCE) with a view to context-aware recommendations, and demonstrate its application…
Subjective Annotations for Vision-Based Attention Level Estimation
Andrea Coifman, Péter Rohoska, Miklas S. Kristoffersen +2
Attention level estimation systems have a high potential in many use cases, such as human-robot interaction, driver modeling and smart home systems, since being able to measure a p…
Multiview Based 3D Scene Understanding On Partial Point Sets
Ye Zhu, Sven Ewan Shepstone, Pablo Martínez-Nuevo +3
Deep learning within the context of point clouds has gained much research interest in recent years mostly due to the promising results that have been achieved on a number of challe…
The Importance of Context When Recommending TV Content: Dataset and Algorithms
Miklas S. Kristoffersen, Sven E. Shepstone, Zheng-Hua Tan
Home entertainment systems feature in a variety of usage scenarios with one or more simultaneous users, for whom the complexity of choosing media to consume has increased rapidly o…