Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective

W Liu, Q Bao, Y Sun, T Mei - ACM Computing Surveys, 2022 - dl.acm.org
Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation

J Li, C Xu, Z Chen, S Bian… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Model-based 3D pose and shape estimation methods reconstruct a full 3D mesh for
the human body by estimating several parameters. However, learning the abstract …

Capturing and inferring dense full-body human-scene contact

CHP Huang, H Yi, M Höschle… - Proceedings of the …, 2022 - openaccess.thecvf.com
Inferring human-scene contact (HSC) is the first step toward understanding how humans
interact with their surroundings. While detecting 2D human-object interaction (HOI) and …

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 …

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 …

Human object interaction detection: Design and survey

M Antoun, D Asmar - Image and Vision Computing, 2023 - Elsevier
Abstract Human-Object Interaction (HOI) detection is the process of estimating the
interaction between a human and an object in an image. The first attempts at HOI involved …

Reformulating hoi detection as adaptive set prediction

M Chen, Y Liao, S Liu, Z Chen… - Proceedings of the …, 2021 - openaccess.thecvf.com
Determining which image regions to concentrate is critical for Human-Object Interaction
(HOI) detection. Conventional HOI detectors focus on either detected human and object …