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6 papers · 1 filter
Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions
Isura Nirmal, Abdelwahed Khamis, Mahbub Hassan +2
While decade-long research has clearly demonstrated the vast potential of radio frequency (RF) for many human sensing tasks, scaling this technology to large scenarios remained pro…
Learning Representations of Hierarchical Slates in Collaborative Filtering
Ehtsham Elahi, Ashok Chandrashekar
We are interested in building collaborative filtering models for recommendation systems where users interact with slates instead of individual items. These slates can be hierarchic…
Perceptual Video Quality Prediction Emphasizing Chroma Distortions
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
Measuring the quality of digital videos viewed by human observers has become a common practice in numerous multimedia applications, such as adaptive video streaming, quality monito…
Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions
James McInerney, Brian Brost, Praveen Chandar +2
Users of music streaming, video streaming, news recommendation, and e-commerce services often engage with content in a sequential manner. Providing and evaluating good sequences of…
Predicting the Quality of Compressed Videos with Pre-Existing Distortions
Xiangxu Yu, Neil Birkbeck, Yilin Wang +3
Over the past decade, the online video industry has greatly expanded the volume of visual data that is streamed and shared over the Internet. Moreover, because of the increasing ea…
Dual Temporal Memory Network for Efficient Video Object Segmentation
Kaihua Zhang, Long Wang, Dong Liu +3
Video Object Segmentation (VOS) is typically formulated in a semi-supervised setting. Given the ground-truth segmentation mask on the first frame, the task of VOS is to track and s…