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Query-adaptive Video Summarization via Quality-aware Relevance Estimation.

, , , and . ACM Multimedia, page 582-590. ACM, (2017)

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Towards understanding convolutional features and applications to image manipulation and generation.. ETH Zurich, Zürich, Switzerland, (2022)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/550791).Efficiently Detecting Plausible Locations for Object Placement Using Masked Convolutions., , , , and . ECCV Workshops (4), volume 12538 of Lecture Notes in Computer Science, page 252-266. Springer, (2020)Predicting When Saliency Maps are Accurate and Eye Fixations Consistent., , and . CVPR, page 544-552. IEEE Computer Society, (2016)Predicting When Eye Fixations Are Consistent., , and . AAAI Spring Symposia, AAAI Press, (2017)ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce., , , , , , and . VISIGRAPP (4: VISAPP), page 746-754. SCITEPRESS, (2023)Do Deep Neural Networks Suffer from Crowding?, , and . NIPS, page 5628-5638. (2017)Gradient flow encoding with distance optimization adaptive step size., , , and . CoRR, (2021)Decomposing Image Generation into Layout Prediction and Conditional Synthesis., , and . CVPR Workshops, page 1530-1538. Computer Vision Foundation / IEEE, (2020)Query-adaptive Video Summarization via Quality-aware Relevance Estimation., , , and . ACM Multimedia, page 582-590. ACM, (2017)ETH-CVL @ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness., , , and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)