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Deep learning-based human pose estimation: A survey
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 …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks
Deep neural models, in recent years, have been successful in almost every field, even
solving the most complex problem statements. However, these models are huge in size with …
solving the most complex problem statements. However, these models are huge in size with …
Motionbert: A unified perspective on learning human motion representations
We present a unified perspective on tackling various human-centric video tasks by learning
human motion representations from large-scale and heterogeneous data resources …
human motion representations from large-scale and heterogeneous data resources …
Bottom-up human pose estimation via disentangled keypoint regression
In this paper, we are interested in the bottom-up paradigm of estimating human poses from
an image. We study the dense keypoint regression framework that is previously inferior to …
an image. We study the dense keypoint regression framework that is previously inferior to …
Knowledge distillation: A survey
In recent years, deep neural networks have been successful in both industry and academia,
especially for computer vision tasks. The great success of deep learning is mainly due to its …
especially for computer vision tasks. The great success of deep learning is mainly due to its …
Source-free domain adaptation for semantic segmentation
Abstract Unsupervised Domain Adaptation (UDA) can tackle the challenge that
convolutional neural network (CNN)-based approaches for semantic segmentation heavily …
convolutional neural network (CNN)-based approaches for semantic segmentation heavily …
WaveNet: Wavelet network with knowledge distillation for RGB-T salient object detection
In recent years, various neural network architectures for computer vision have been devised,
such as the visual transformer and multilayer perceptron (MLP). A transformer based on an …
such as the visual transformer and multilayer perceptron (MLP). A transformer based on an …
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 …
Distribution-aware coordinate representation for human pose estimation
While being the de facto standard coordinate representation for human pose estimation,
heatmap has not been investigated in-depth. This work fills this gap. For the first time, we …
heatmap has not been investigated in-depth. This work fills this gap. For the first time, we …
Monocular human pose estimation: A survey of deep learning-based methods
Vision-based monocular human pose estimation, as one of the most fundamental and
challenging problems in computer vision, aims to obtain posture of the human body from …
challenging problems in computer vision, aims to obtain posture of the human body from …