Deep learning-based human pose estimation: A survey

C Zheng, W Wu, C Chen, T Yang, S Zhu, J Shen… - ACM Computing …, 2023 - dl.acm.org
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

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 …

Vitpose: Simple vision transformer baselines for human pose estimation

Y Xu, J Zhang, Q Zhang, D Tao - Advances in Neural …, 2022 - proceedings.neurips.cc
Although no specific domain knowledge is considered in the design, plain vision
transformers have shown excellent performance in visual recognition tasks. However, little …

Maxim: Multi-axis mlp for image processing

Z Tu, H Talebi, H Zhang, F Yang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Recent progress on Transformers and multi-layer perceptron (MLP) models provide new
network architectural designs for computer vision tasks. Although these models proved to be …

Multi-stage progressive image restoration

SW Zamir, A Arora, S Khan, M Hayat… - Proceedings of the …, 2021 - openaccess.thecvf.com
Image restoration tasks demand a complex balance between spatial details and high-level
contextualized information while recovering images. In this paper, we propose a novel …

A survey of deep learning-based object detection

L Jiao, F Zhang, F Liu, S Yang, L Li, Z Feng… - IEEE access, 2019 - ieeexplore.ieee.org
Object detection is one of the most important and challenging branches of computer vision,
which has been widely applied in people's life, such as monitoring security, autonomous …

Human pose as compositional tokens

Z Geng, C Wang, Y Wei, Z Liu… - Proceedings of the …, 2023 - openaccess.thecvf.com
Human pose is typically represented by a coordinate vector of body joints or their heatmap
embeddings. While easy for data processing, unrealistic pose estimates are admitted due to …

Interhand2. 6m: A dataset and baseline for 3d interacting hand pose estimation from a single rgb image

G Moon, SI Yu, H Wen, T Shiratori, KM Lee - Computer Vision–ECCV 2020 …, 2020 - Springer
Abstract Analysis of hand-hand interactions is a crucial step towards better understanding
human behavior. However, most researches in 3D hand pose estimation have focused on …

VisDrone-DET2019: The vision meets drone object detection in image challenge results

D Du, P Zhu, L Wen, X Bian, H Lin… - Proceedings of the …, 2019 - openaccess.thecvf.com
Recently, automatic visual data understanding from drone platforms becomes highly
demanding. To facilitate the study, the Vision Meets Drone Object Detection in Image …

Key points estimation and point instance segmentation approach for lane detection

Y Ko, Y Lee, S Azam, F Munir, M Jeon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Perception techniques for autonomous driving should be adaptive to various environments.
In essential perception modules for traffic line detection, many conditions should be …