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[HTML][HTML] Human pose estimation using deep learning: A systematic literature review
Human Pose Estimation (HPE) is the task that aims to predict the location of human joints
from images and videos. This task is used in many applications, such as sports analysis and …
from images and videos. This task is used in many applications, such as sports analysis and …
AnatPose: Bidirectionally learning anatomy-aware heatmaps for human pose estimation
Estimating human pose from images is the key to enabling machines to understand human
actions. Existing works on human pose estimation mainly focus on designing more resultful …
actions. Existing works on human pose estimation mainly focus on designing more resultful …
Vision-based drone control for autonomous UAV cinematography
One of the most important aesthetic concepts in autonomous Unmanned Aerial Vehicle
(UAV) cinematography is the UAV/Camera Motion Type (CMT), describing the desired UAV …
(UAV) cinematography is the UAV/Camera Motion Type (CMT), describing the desired UAV …
Human modelling and pose estimation overview
P Knap - ar** between the sequence observed and the one to be predicted. However, the …
Generative representation learning in Recurrent Neural Networks for causal timeseries forecasting
Feed-forward deep neural networks (DNNs) are the state of the art in timeseries forecasting.
A particularly significant scenario is the causal one: when an arbitrary subset of variables of …
A particularly significant scenario is the causal one: when an arbitrary subset of variables of …
MMVSL: A multi-modal visual semantic learning method for pig pose and action recognition
Pig health monitoring is grounded on rapid detection and evaluation on their pose and
behavior traits in complex environments. However, as of right now, there is no intelligent …
behavior traits in complex environments. However, as of right now, there is no intelligent …
Human pose estimation via parse graph of body structure
S Liu, X **e, G Shi - IEEE Transactions on Circuits and Systems …, 2024 - ieeexplore.ieee.org
When observing a person's body, humans can extract the structured representation of the
body called a parse graph, which includes the hierarchical decompositions from the entire …
body called a parse graph, which includes the hierarchical decompositions from the entire …
Markov-PQ: Joint Pruning-Quantization via Learnable Markov Chain
Various network compression methods, such as pruning and quantization, have been
proposed to synergistically reduce resource requirements. However, existing joint …
proposed to synergistically reduce resource requirements. However, existing joint …