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NII Hitachi UIT at TRECVID 2019., , , , , , , , , and 10 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2019)Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning., , , , and . CVPR, page 11467-11476. Computer Vision Foundation / IEEE, (2019)NII_HITACHI_UIT at TRECVID 2018., , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2018)From Local Features to Global Shape Constraints: Heterogeneous Matching Scheme for Recognizing Objects under Serious Background Clutter., and . ACCV (4), volume 6495 of Lecture Notes in Computer Science, page 64-75. Springer, (2010)Using a Reference Point for Local Configuration of SIFT-like Features for Object Recognition with Serious Background Clutter., and . IPSJ Trans. Comput. Vis. Appl., (2011)Hitachi at TRECVID DSDI 2020., , , and . TRECVID, National Institute of Standards and Technology (NIST), (2020)Deep Match between Geology Reports and Well Logs Using Spatial Information., , , , , and . CIKM, page 1833-1842. ACM, (2016)Adversarial Zero-shot Learning With Semantic Augmentation., , , , , , and . AAAI, page 2476-2483. AAAI Press, (2018)Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention., , , , , , and . KDD, page 2031-2040. ACM, (2017)MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding., , , , , and . ICCV, page 8657-8666. IEEE, (2019)