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In this technical report, we present our solution to localize aspatio-temporal person in an untrimmed video based on a sentence. We achievethe second vIOU(0.30025) in the HC-STVG track of the 3rd Person in Context(PIC)Challenge. Our solution contains three parts: 1) human attributes informationis extracted from the sentence, it is helpful to filter out tube proposals inthe testing phase and supervise our classifier to learn appearance informationin the training phase. 2) we detect humans with YoloV5 and track humans basedon the DeepSort framework but replace the original ReID network with FastReID.3) a visual transformer is used to extract cross-modal representations forlocalizing a spatio-temporal tube of the target person.

2rd Place Solutions in the HC-STVG track of Person in Context Challenge 2021