Results 121 to 130 of about 11,426 (251)
GNOCHI: Generative Neural mOdel for Close Human‐Human Interactions
Computer Graphics Forum, EarlyView.Abstract Creating realistic 3D human‐human interactions in virtual environments is challenging due to the high degrees of freedom in human body and the need for physically accurate poses that do not collide with each other. Traditional methods for humanhuman interaction are based on motion tracking or 3D body reconstruction, but lack generative ...
Gonzalo Gómez‐Nogales +3 more
wiley +1 more source
StayStill: a large‐scale 3D idle animation dataset
Computer Graphics Forum, EarlyView.Abstract Idle animations are essential for virtual characters, as they convey realistic behaviour during inactive states. While automatic animation generation has been widely studied, limited attention has been given to idle motion due to the absence of dedicated training datasets.
Eneko Atxa Landa +3 more
wiley +1 more source
Keypoint Promptable Re-Identification
Occluded Person Re-Identification (ReID) is a metric learning task that involves matching occluded individuals based on their appearance. While many studies have tackled occlusions caused by objects, multi-person occlusions remain less explored. In this work, we identify and address a critical challenge overlooked by previous occluded ReID methods: the
Vladimir Somers +2 more
openaire +3 more sources
Keypoint detection results on three face scans of the same face.
, 2014 Keypoint detection results on three face scans of the same face.
Zhixuan Ding (552986) +4 more
core +1 more source
AgricultureAccurate and efficient access to Mongolian horse body size information is an important component in the modernization of the equine industry. Aiming at the shortcomings of manual measurement methods, such as low efficiency and high risk, this study ...
Lide Su +4 more
doaj +1 more source
Computer Graphics Forum, EarlyView.We propose KnowTI, a Knowledge Transfer framework that delivers interactive visual summarizations on demand. We conducted a mixed‐initiative within‐subject design study comparing traditional video‐based learning against KnowTI. We assessed statistical significance and qualitative utterances focusing on learning outcomes, knowledge gain and retention ...
S. El‐Sherbiny, R. G. Raidou
wiley +1 more source
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Developmental Medicine &Child Neurology, EarlyView.Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
Orthopaedic Surgery, EarlyView.The root mean square deviation (RMSD) across all kinematic variables between the test and retest sessions for walking and sit‐to‐stand. The “Total” RMSD represents the intra‐subject average of the walking and sit‐to‐stand tasks. ABSTRACT Background While kinematic analysis is crucial to characterize multi‐planar functional deficits in end‐stage knee ...
Chunping Ye +4 more
wiley +1 more source
DualPose: Dual-Block Transformer Decoder with Contrastive Denoising for Multi-Person Pose Estimation
SensorsMulti-person pose estimation is the task of detecting and regressing the keypoint coordinates of multiple people in a single image. Significant progress has been achieved in recent years, especially with the introduction of transformer-based end-to-end ...
Matteo Fincato, Roberto Vezzani
doaj +1 more source
Keypoint action tokens enable in-context imitation learning in robotics [PDF]
We show that off-the-shelf text-based Transformers, with no additional training, can perform few-shot in-context visual imitation learning, mapping visual observations to action sequences that emulate the demonstrator's behaviour.
Di Palo, Norman, Johns, Edward
core +1 more source