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 …

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 …

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 …

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 …

Viplo: Vision transformer based pose-conditioned self-loop graph for human-object interaction detection

J Park, JW Park, JS Lee - … of the IEEE/CVF conference on …, 2023 - openaccess.thecvf.com
Abstract Human-Object Interaction (HOI) detection, which localizes and infers relationships
between human and objects, plays an important role in scene understanding. Although two …

The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

A Kuznetsova, H Rom, N Alldrin, J Uijlings… - International journal of …, 2020 - Springer
Abstract We present Open Images V4, a dataset of 9.2 M images with unified annotations for
image classification, object detection and visual relationship detection. The images have a …

Relational context learning for human-object interaction detection

S Kim, D Jung, M Cho - … of the IEEE/CVF conference on …, 2023 - openaccess.thecvf.com
Recent state-of-the-art methods for HOI detection typically build on transformer architectures
with two decoder branches, one for human-object pair detection and the other for interaction …

Exploring predicate visual context in detecting of human-object interactions

FZ Zhang, Y Yuan, D Campbell… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recently, the DETR framework has emerged as the dominant approach for human--object
interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are …

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 …

Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review

FX Gaya-Morey, C Manresa-Yee, JM Buades-Rubio - Applied Intelligence, 2024 - Springer
As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …