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

1 code implementation • NeurIPS 2023 • Yichao Cao, Qingfei Tang, Xiu Su, Chen Song, Shan You, Xiaobo Lu, Chang Xu

We conduct a deep analysis of the three hierarchical features inherent in visual HOI detectors and propose a method for high-level relation extraction aimed at VL foundation models, which we call HO prompt-based learning.

Human-Object Interaction Detection Relation Extraction +1

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

no code implementations • ICCV 2023 • Yichao Cao, Qingfei Tang, Feng Yang, Xiu Su, Shan You, Xiaobo Lu, Chang Xu

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 HOI triplets.

Human-Object Interaction Detection Sentence +1

STCNet: Spatio-Temporal Cross Network for Industrial Smoke Detection

2 code implementations • 10 Nov 2020 • Yichao Cao, Qingfei Tang, Xiaobo Lu, Fan Li, Jinde Cao

To overcome these problems, a novel Spatio-Temporal Cross Network (STCNet) is proposed to recognize industrial smoke emissions.