A comprehensive survey of vision-based human action recognition methods

HB Zhang, YX Zhang, B Zhong, Q Lei, L Yang, JX Du… - Sensors, 2019 - mdpi.com
Although widely used in many applications, accurate and efficient human action recognition
remains a challenging area of research in the field of computer vision. Most recent surveys …

A comprehensive survey of scene graphs: Generation and application

X Chang, P Ren, P Xu, Z Li, X Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Scene graph is a structured representation of a scene that can clearly express the objects,
attributes, and relationships between objects in the scene. As computer vision technology …

Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time

HS Fang, J Li, H Tang, C Xu, H Zhu… - … on Pattern Analysis …, 2022 - ieeexplore.ieee.org
Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …

Hotr: End-to-end human-object interaction detection with transformers

B Kim, J Lee, J Kang, ES Kim… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Abstract Human-Object Interaction (HOI) detection is a task of identifying" a set of
interactions" in an image, which involves the i) localization of the subject (ie, humans) and …

Panoptic scene graph generation

J Yang, YZ Ang, Z Guo, K Zhou, W Zhang… - European Conference on …, 2022 - Springer
Existing research addresses scene graph generation (SGG)—a critical technology for scene
understanding in images—from a detection perspective, ie., objects are detected using …

End-to-end human object interaction detection with hoi transformer

C Zou, B Wang, Y Hu, J Liu, Q Wu… - Proceedings of the …, 2021 - openaccess.thecvf.com
We propose HOI Transformer to tackle human object interaction (HOI) detection in an end-to-
end manner. Current approaches either decouple HOI task into separated stages of object …

Gen-vlkt: Simplify association and enhance interaction understanding for hoi detection

Y Liao, A Zhang, M Lu, Y Wang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract The task of Human-Object Interaction (HOI) detection could be divided into two core
problems, ie, human-object association and interaction understanding. In this paper, we …

Qpic: Query-based pairwise human-object interaction detection with image-wide contextual information

M Tamura, H Ohashi… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
We propose a simple, intuitive yet powerful method for human-object interaction (HOI)
detection. HOIs are so diverse in spatial distribution in an image that existing CNN-based …

Mining the benefits of two-stage and one-stage hoi detection

A Zhang, Y Liao, S Liu, M Lu… - Advances in Neural …, 2021 - proceedings.neurips.cc
Two-stage methods have dominated Human-Object Interaction~(HOI) detection for several
years. Recently, one-stage HOI detection methods have become popular. In this paper, we …

Learning human-object interactions by graph parsing neural networks

S Qi, W Wang, B Jia, J Shen… - Proceedings of the …, 2018 - openaccess.thecvf.com
This paper addresses the task of detecting and recognizing human-object interactions (HOI)
in images and videos. We introduce the Graph Parsing Neural Network (GPNN), a …