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Searching person images from a gallery based on natural language descriptions remains to be a challenging and under-explored cross-modal retrieval problem. To improve the accuracy off an image-based retrieval task, e.g., person re-identification (Person Re-Id), re-ranking is known to be an effective post-processing tool. In this paper, we extend re-ranking from uni-modal retrieval to cross-modal retrieval for the first time, and develop a bi-directional coarse-to-fine framework (BCF) fordoi:10.1109/iccvw.2019.00223 dblp:conf/iccvw/YuCYMW19 fatcat:tcizrmwbcvgnjbxnxe7l5zlh2y