Recent advances of monocular 2d and 3d human pose estimation: A deep learning perspective
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 …
topic in the computer vision community with many applications. Recently, benefiting from the …
Human pose estimation and its application to action recognition: A survey
Human pose estimation aims at predicting the poses of human body parts in images or
videos. Since pose motions are often driven by some specific human actions, knowing the …
videos. Since pose motions are often driven by some specific human actions, knowing the …
Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time
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 …
challenging topic in computer vision. To capture the subtle actions of humans for complex …
Effective whole-body pose estimation with two-stages distillation
Whole-body pose estimation localizes the human body, hand, face, and foot keypoints in an
image. This task is challenging due to multi-scale body parts, fine-grained localization for …
image. This task is challenging due to multi-scale body parts, fine-grained localization for …
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 …
interact with their surroundings. While detecting 2D human-object interaction (HOI) and …
Not all tokens are equal: Human-centric visual analysis via token clustering transformer
Vision transformers have achieved great successes in many computer vision tasks. Most
methods generate vision tokens by splitting an image into a regular and fixed grid and …
methods generate vision tokens by splitting an image into a regular and fixed grid and …
Monocular expressive body regression through body-driven attention
To understand how people look, interact, or perform tasks, we need to quickly and
accurately capture their 3D body, face, and hands together from an RGB image. Most …
accurately capture their 3D body, face, and hands together from an RGB image. Most …
Whole-body human pose estimation in the wild
This paper investigates the task of 2D human whole-body pose estimation, which aims to
localize dense landmarks on the entire human body including face, hands, body, and feet …
localize dense landmarks on the entire human body including face, hands, body, and feet …
Rtmpose: Real-time multi-person pose estimation based on mmpose
Recent studies on 2D pose estimation have achieved excellent performance on public
benchmarks, yet its application in the industrial community still suffers from heavy model …
benchmarks, yet its application in the industrial community still suffers from heavy model …
Multi-channel transformers for multi-articulatory sign language translation
Sign languages use multiple asynchronous information channels (articulators), not just the
hands but also the face and body, which computational approaches often ignore. In this …
hands but also the face and body, which computational approaches often ignore. In this …