  In this technical report, we present our solution to localize a
spatio-temporal person in an untrimmed video based on a sentence. We achieve
the 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 information
is extracted from the sentence, it is helpful to filter out tube proposals in
the testing phase and supervise our classifier to learn appearance information
in the training phase. 2) we detect humans with YoloV5 and track humans based
on the DeepSort framework but replace the original ReID network with FastReID.
3) a visual transformer is used to extract cross-modal representations for
localizing a spatio-temporal tube of the target person.
