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Deep Stereo Video Inpainting
Stereo video inpainting aims to fill the missing regions on the left and right views of the stereo video with plausible content simultaneously.
Semi-Supervised Video Inpainting with Cycle Consistency Constraints
Specifically, in this work, we propose an end-to-end trainable framework consisting of completion network and mask prediction network, which are designed to generate corrupted contents of the current frame using the known mask and decide the regions to be filled of the next frame, respectively.
A Proposal-Based Paradigm for Self-Supervised Sound Source Localization in Videos
Humans can easily recognize where and how the sound is produced via watching a scene and listening to corresponding audio cues.
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