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Xian Qu

3 accepted papers

2022

Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection

CVPR 2022poster

Transformer-based methods have achieved great success in the field of human-object interaction (HOI) detection. However, these models tend to adopt semantically ambiguous queries, which lowers the transformer's representation learning power. Moreover, there are a very limited number of labeled human…

Cited by 53PDFScholar
2021

Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection

CVPR 2021poster

Modern human-object interaction (HOI) detection approaches can be divided into one-stage methods and two-stage ones. One-stage models are more efficient due to their straightforward architectures, but the two-stage models are still advantageous in accuracy. Existing one-stage models usually begin by…

Cited by 132PDFcodeScholar
2020

Polysemy Deciphering Network for Human-Object Interaction Detection

ECCV 2020poster

Human-Object Interaction (HOI) detection is important in human-centric scene understanding. Existing works typically assume that the same verb in different HOI categories has similar visual characteristics, while ignoring the diverse semantic meanings of the verb. To address this issue, in this pape…