Respiration is a critical vital sign for infants, and continuous respira...
Modern autonomous systems require extensive testing to ensure reliabilit...
Animal pose estimation has become a crucial area of research, but the
sc...
We present an end-to-end computer vision pipeline to detect non-nutritiv...
We apply computer vision pose estimation techniques developed expressly ...
Accurately annotated image datasets are essential components for studyin...
3D Human body pose and shape estimation within a temporal sequence can b...
Bilateral postural symmetry plays a key role as a potential risk marker ...
Computer vision has achieved great success in interpreting semantic mean...
The phenomenon of Human Pose Estimation (HPE) is a problem that has been...
This paper presents Hierarchical Network Dissection, a general pipeline ...
In this paper, we propose a Bayesian switching dynamical model for
segme...
Monocular 3D human pose estimation from a single RGB image has received ...
The ultimate goal for an inference model is to be robust and functional ...
With the increasing maturity of the human pose estimation domain, its
ap...
We introduce deep switching auto-regressive factorization (DSARF), a dee...
Computer vision (CV) has achieved great success in interpreting semantic...
We introduce deep Markov spatio-temporal factorization (DMSTF), a deep
g...
In this paper, we propose a computationally tractable and theoretically
...
Due to their inherent variabilities, nanomaterial-based sensors are
chal...
Objective monitoring and assessment of human motor behavior can improve ...
Human in-bed pose estimation has huge practical values in medical and
he...
Non-nutritive sucking (NNS) is defined as the sucking action that occurs...
This paper presents a novel unsupervised probabilistic model estimation ...
Despite its ability to draw precise inferences from large and complex
da...
Humans naturally perceive a 3D scene in front of them through accumulati...
In this paper, we present a multimodal approach to simultaneously analyz...
Driven by the recent advances in smart, miniaturized, and mass produced
...
Deep learning approaches have been rapidly adopted across a wide range o...
Image-based generative methods, such as generative adversarial networks
...
In this paper, we present a database of emotional speech intended to be
...
Background subtraction is the primary task of the majority of video
insp...
Although human pose estimation for various computer vision (CV) applicat...
Human interactions are characterized by explicit as well as implicit cha...