We have recently seen tremendous progress in diffusion advances for generating realistic
human motions. Yet, they largely disregard the multi-human interactions. In this paper, we …

Human motion generation, a cornerstone technique in animation and video production, has
widespread applications in various tasks like text-to-motion and music-to-dance. Previous …

Generating human motions from textual descriptions has gained growing research interest
due to its wide range of applications. However only a few works consider human-scene …

Skeleton-based action recognition has recently received considerable attention. Current
approaches to skeleton-based action recognition are typically formulated as one-hot …

The analysis of the ubiquitous human-human interactions is pivotal for understanding
humans as social beings. Existing human-human interaction datasets typically suffer from …

Efficient deployment of Large Language Models (LLMs) requires low-bit quantization to
reduce model size and inference cost. Besides low-bit integer formats (eg, INT8/INT4) used …

Despite recent advancements in masked skeleton modeling and visual-language pre-
training, no method has yet been proposed to explore capturing and utilizing the rich …

In this paper, we are using comprehensively review the ways in which Large Language
Models (LLMs) advance activity recognition systems, discuss the challenges of …

Skeleton-based action representation learning aims to interpret and understand human
behaviors by encoding the skeleton sequences, which can be categorized into two primary …

Technology to support human communication by sign language may address a growing
social need and is interesting from an engineering perspective, considering multimodal …