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Omnimatte: Associating Objects and Their Effects in Video.

, , , , , and . CVPR, page 4507-4515. Computer Vision Foundation / IEEE, (2021)

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SpeedNet: Learning the Speediness in Videos., , , , , , , and . CVPR, page 9919-9928. Computer Vision Foundation / IEEE, (2020)SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow., , , , and . CVPR, page 5281-5290. IEEE, (2023)Muse: Text-To-Image Generation via Masked Generative Transformers., , , , , , , , , and 2 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 4055-4075. PMLR, (2023)TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency., , , , , , and . CoRR, (2022)Idempotent Generative Network., , , , , and . ICLR, OpenReview.net, (2024)Amplification of Tension in Branched Macromolecules, , and . Physical Review Letters, 102 (14): 148301 (2009)Speech2Face: Learning the Face Behind a Voice., , , , , , and . CVPR, page 7539-7548. Computer Vision Foundation / IEEE, (2019)3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields., , , , and . ICCV, page 9803-9812. IEEE, (2023)Deep Saliency Prior for Reducing Visual Distraction., , , , , , , and . CoRR, (2021)Associating Objects and Their Effects in Video through Coordination Games., , , , , , and . NeurIPS, (2022)