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Renmin University of China and Zhejiang Gongshang University at TRECVID 2019: Learn to Search and Describe Videos., , , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2019)COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval., , , , , , and . CoRR, (2018)Fully Deep Learning for Slit-Lamp Photo Based Nuclear Cataract Grading., , , , , , , , , and 4 other author(s). MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 513-521. Springer, (2019)Renmin University of China and Zhejiang Gongshang University at TRECVID 2018: Deep Cross-Modal Embeddings for Video-Text Retrieval., , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2018)University of Amsterdam and Renmin University at TRECVID 2017: Searching Video, Detecting Events and Describing Video., , , and . TRECVID, National Institute of Standards and Technology (NIST), (2017)A W2VV++ Case Study with Automated and Interactive Text-to-Video Retrieval., , , , , , and . ACM Multimedia, page 2553-2561. ACM, (2020)W2VV++: Fully Deep Learning for Ad-hoc Video Search., , , , and . ACM Multimedia, page 1786-1794. ACM, (2019)SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries., , , , and . CoRR, (2020)SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries., , , , and . IEEE Trans. Multim., (2021)COCO-CN for Cross-Lingual Image Tagging, Captioning, and Retrieval., , , , , , and . IEEE Trans. Multim., 21 (9): 2347-2360 (2019)