Though the advancement of pre-trained large language models unfolds, the exploration of
building a unified model for language and other multimodal data, such as motion, remains …

Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-
of-use (EoU) products. However, the current manual disassembly process is inefficient due …

Stochastic human motion prediction (HMP) has generally been tackled with generative
adversarial networks and variational autoencoders. Most prior works aim at predicting highly …

Predicting 3D human poses in real-world scenarios, also known as human pose forecasting,
is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and …

Stochastic human motion prediction aims to forecast multiple plausible future motions given
a single pose sequence from the past. Most previous works focus on designing elaborate …

Encouraged by the effectiveness of encoding temporal dynamics within the frequency
domain, recent human motion prediction systems prefer to first convert the motion …

Human motion synthesis is a fundamental task in computer animation. Recent methods
based on diffusion models or GPT structure demonstrate commendable performance but …

Predicting human motion plays a crucial role in ensuring a safe and effective human-robot
close collaboration in intelligent remanufacturing systems of the future. Existing works can …

Accurate understanding and prediction of human behaviors are critical prerequisites for
autonomous vehicles, especially in highly dynamic and interactive scenarios such as …

Existing mainstream multiobject tracking (MOT) methods can be categorized into two
frameworks, including two-and one-stage ones. Two-stage ones divide MOT task into object …