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Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability., , , , , and . ECCV (16), volume 12361 of Lecture Notes in Computer Science, page 223-240. Springer, (2020)How Much Time Do You Have? Modeling Multi-Duration Saliency., , , , , , and . CVPR, page 4472-4481. Computer Vision Foundation / IEEE, (2020)Overview of The MediaEval 2021 Predicting Media Memorability Task., , , , , , , , , and 1 other author(s). MediaEval, volume 3181 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Artifact magnification on deepfake videos increases human detection and subjective confidence., , and . CoRR, (2023)Overview of The MediaEval 2023 Predicting Video Memorability Task., , , , , , , , , and 1 other author(s). MediaEval, volume 3658 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Predicting Visual Importance Across Graphic Design Types., , , , , and . UIST, page 249-260. ACM, (2020)We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos., , , , , , and . ECCV (18), volume 12363 of Lecture Notes in Computer Science, page 18-34. Springer, (2020)Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines., , , , , and . CoRR, (2022)Experiences from the MediaEval Predicting Media Memorability Task., , , , , , , , , and 1 other author(s). CoRR, (2022)TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data., , , , , , , and . CHI, page 1-13. ACM, (2020)