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Learning Background Subtraction by Video Synthesis and Multi-scale Recurrent Networks.

, , , and . ACCV (6), volume 11366 of Lecture Notes in Computer Science, page 357-372. Springer, (2018)

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Learning Background Subtraction by Video Synthesis and Multi-scale Recurrent Networks., , , and . ACCV (6), volume 11366 of Lecture Notes in Computer Science, page 357-372. Springer, (2018)Co-saliency detection via seed propagation over the integrated graph with a cluster layer., , , and . ICIP, page 2040-2044. IEEE, (2017)Consumer video summarization based on image quality and representativeness measure., , and . GlobalSIP, page 572-576. IEEE, (2015)Co-Salient Object Detection Based on Deep Saliency Networks and Seed Propagation Over an Integrated Graph., , and . IEEE Trans. Image Process., 27 (12): 5866-5879 (2018)Multi-scale Recurrent Encoder-Decoder Network for Dense Temporal Classification., , , and . ICPR, page 103-108. IEEE Computer Society, (2018)A static video summarization method based on the sparse coding of features and representativeness of frames., , and . EURASIP J. Image Video Process., (2017)Co-salient Object Detection Based on Deep Saliency Networks and Seed Propagation over an Integrated Graph., , and . CoRR, (2017)Deep Clustering and Block Hashing Network for Face Image Retrieval., , , and . ACCV (6), volume 11366 of Lecture Notes in Computer Science, page 325-339. Springer, (2018)Regional deep feature aggregation for image retrieval., , , and . ICASSP, page 1737-1741. IEEE, (2017)Classification-Based Supervised Hashing with Complementary Networks for Image Search., , , and . BMVC, page 74. BMVA Press, (2018)