Animal pose estimation: A closer look at the state-of-the-art, existing gaps and opportunities
L Jiang, C Lee, D Teotia, S Ostadabbas - Computer Vision and Image …, 2022 - Elsevier
Over the past few years, research on animal pose estimation in computer vision field has
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …
grown in many aspects such as 2D and 3D pose estimation, 3D mesh reconstruction, and …
A survey of synthetic data augmentation methods in machine vision
A Mumuni, F Mumuni, NK Gerrar - Machine Intelligence Research, 2024 - Springer
The standard approach to tackling computer vision problems is to train deep convolutional
neural network (CNN) models using large-scale image datasets that are representative of …
neural network (CNN) models using large-scale image datasets that are representative of …
Nerfinvertor: High fidelity nerf-gan inversion for single-shot real image animation
Nerf-based Generative models have shown impressive capacity in generating high-quality
images with consistent 3D geometry. Despite successful synthesis of fake identity images …
images with consistent 3D geometry. Despite successful synthesis of fake identity images …
JoyPose: Jointly learning evolutionary data augmentation and anatomy-aware global–local representation for 3D human pose estimation
S Du, Z Yuan, P Lai, T Ikenaga - Pattern Recognition, 2024 - Elsevier
Video-based 3D human pose estimation is an important yet challenging task for many
human-involved pattern recognition systems. Existing deep learning-based 3D human pose …
human-involved pattern recognition systems. Existing deep learning-based 3D human pose …
In-bed pose estimation: Deep learning with shallow dataset
This paper presents a robust human posture and body parts detection method under a
specific application scenario known as in-bed pose estimation. Although the human pose …
specific application scenario known as in-bed pose estimation. Although the human pose …
Invariant representation learning for infant pose estimation with small data
Infant motion analysis is a topic with critical importance in early childhood development
studies. However, while the applications of human pose estimation have become more and …
studies. However, while the applications of human pose estimation have become more and …
Recognition of atypical behavior in autism diagnosis from video using pose estimation over time
Autism spectrum disorder (ASD), similar to many other developmental or behavioral
conditions, is difficult to be precisely diagnosed. This difficulty increases when the subjects …
conditions, is difficult to be precisely diagnosed. This difficulty increases when the subjects …
Give Me a Sign: Using Data Gloves for Static Hand-Shape Recognition
Human-to-human communication via the computer is mainly carried out using a keyboard or
microphone. In the field of virtual reality (VR), where the most immersive experience …
microphone. In the field of virtual reality (VR), where the most immersive experience …
An efficient 3d synthetic model generation pipeline for human pose data augmentation
Abstract 3D modeling of articulated bodies of humans or animals and using these models for
synthetic 2D and 3D pose data generation can mitigate the small data challenges faced by …
synthetic 2D and 3D pose data generation can mitigate the small data challenges faced by …
USVs‐Sim: A general simulation platform for unmanned surface vessels autonomous learning
Unmanned surface vessels (USVs) have been fully used in the civilian and military fields in
recent years, which dramatically expands protective capability and detection range …
recent years, which dramatically expands protective capability and detection range …