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[HTML][HTML] Deep 3D human pose estimation: A review
Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …
3D joint locations of a human body from an image or video. Due to its widespread …
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 …
Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
We show, for the first time, that neural networks trained only on synthetic data achieve state-
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …
of-the-art accuracy on the problem of 3D human pose and shape (HPS) estimation from real …
Fusing blockchain and AI with metaverse: A survey
Metaverse as the latest buzzword has attracted great attention from both industry and
academia. Metaverse seamlessly integrates the real world with the virtual world and allows …
academia. Metaverse seamlessly integrates the real world with the virtual world and allows …
Trackformer: Multi-object tracking with transformers
The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about
track initialization, identity, and spatio-temporal trajectories. We formulate this task as a …
track initialization, identity, and spatio-temporal trajectories. We formulate this task as a …
Learning to track with object permanence
Tracking by detection, the dominant approach for online multi-object tracking, alternates
between localization and association steps. As a result, it strongly depends on the quality of …
between localization and association steps. As a result, it strongly depends on the quality of …
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 …
Tubetk: Adopting tubes to track multi-object in a one-step training model
Multi-object tracking is a fundamental vision problem that has been studied for a long time.
As deep learning brings excellent performances to object detection algorithms, Tracking by …
As deep learning brings excellent performances to object detection algorithms, Tracking by …
Long-term human motion prediction with scene context
Human movement is goal-directed and influenced by the spatial layout of the objects in the
scene. To plan future human motion, it is crucial to perceive the environment–imagine how …
scene. To plan future human motion, it is crucial to perceive the environment–imagine how …
The progress of human pose estimation: A survey and taxonomy of models applied in 2D human pose estimation
Human pose estimation localizes body keypoints to accurately recognizing the postures of
individuals given an image. This step is a crucial prerequisite to multiple tasks of computer …
individuals given an image. This step is a crucial prerequisite to multiple tasks of computer …