activity
20182020
collaborators

5 papers

cs.SD2020

Sound field reconstruction in rooms: inpainting meets super-resolution

Francesc Lluís, Pablo Martínez-Nuevo, Martin Bo Møller +1

In this paper, a deep-learning-based method for sound field reconstruction is proposed. It is shown the possibility to reconstruct the magnitude of the sound pressure in the freque…

cs.IR2019

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…

cs.CV2019

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…

cs.CV2018

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…

cs.IR2018

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…