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Qingfei Tang

3 accepted papers

2023

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models

NeurIPS 2023poster

Human-object interaction (HOI) detection aims to comprehend the intricate relationships between humans and objects, predicting <human, action, object> triplets, and serving as the foundation for numerous computer vision tasks. The complexity and diversity of human-object interactions in the real wor…

2023

Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection

ICCV 2023poster

Human-Object Interaction (HOI) detection is a challenging computer vision task that requires visual models to address the complex interactive relationship between humans and objects and predict <human, action, object> triplets. Despite the challenges posed by the numerous interaction combinations, t…

Cited by 31PDFScholar
2022

Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition

NeurIPS 2022accept

Spatio-Temporal feature matching and alignment are essential for few-shot action recognition as they determine the coherence and effectiveness of the temporal patterns. Nevertheless, this process could be not reliable, especially when dealing with complex video scenarios. In this paper, we propose t…

Cited by 13SourcePDFScholar