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Found 4 papers, 1 papers with code
Blind Image Restoration without Prior Knowledge
In this paper we present the Self-Normalization Side-Chain (SCNC), a novel approach to blind universal restoration in which no prior knowledge of the degradation is needed.
Learning Gaze Transitions From Depth to Improve Video Saliency Estimation
In this paper we introduce a novel Depth-Aware Video Saliency approach to predict human focus of attention when viewing videos that contain a depth map (RGBD) on a 2D screen.
Learning Video Saliency from Human Gaze Using Candidate Selection
For example, the time each video frame is observed is a fraction of a second, while a still image can be viewed leisurely.
Crowdsourcing Gaze Data Collection
In this work we propose a crowdsourced method for acquisition of gaze direction data from a virtually unlimited number of participants, using a robust self-reporting mechanism (see Figure 1).
Social and Information Networks Human-Computer Interaction
