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Graphcut Textures: Image and Video Synthesis Using Graph Cuts In this paper we introduce a new algorithm for image and video texture synthesis. In our approach, patch regions from a sample image or video are transformed and copied to the output and then stitched together along optimal seams to generate a new (and typically larger) output. In contrast to other techniques, the size of the patch is n
My main research areas are computer vision, image and video understanding, and analysis using deep learning methods. I am particularly interested in understanding internal representations of self-supervised image and video models. Dr. Shai Bagon Weizmann Artificial Intelligence Center (WAIC) Faculty of Mathematics and Computer Science Jacob Ziskind Building, Room 221 Email: shai.bagon@weizmann.ac.
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