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Hotr: End-to-end human-object interaction detection with transformers
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 …
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
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 …
problems, ie, human-object association and interaction understanding. In this paper, we …
End-to-end human object interaction detection with hoi transformer
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 …
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
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 …
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
Abstract Human-Object Interaction (HOI) detection, which localizes and infers relationships
between human and objects, plays an important role in scene understanding. Although two …
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
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 …
image classification, object detection and visual relationship detection. The images have a …
Relational context learning for human-object interaction detection
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 …
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
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 …
interaction (HOI) research. In particular, two-stage transformer-based HOI detectors are …
Mining the benefits of two-stage and one-stage hoi detection
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 …
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
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 …
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …