Current large multimodal models (LMMs) face challenges in grounding, which requires the
model to relate language components to visual entities. Contrary to the common practice …

Complex 3D scene understanding has gained increasing attention, with scene encoding
strategies playing a crucial role in this success. However, the optimal scene encoding …

Self-supervised learning has proved effective for skeleton-based human action
understanding. However, previous works either rely on contrastive learning that suffers false …

Video generation using diffusion-based models is constrained by high computational costs
due to the frame-wise iterative diffusion process. This work presents a Diffusion Reuse …

We introduce the first zero-shot approach for Video Semantic Segmentation (VSS) based on
pre-trained diffusion models. A growing research direction attempts to employ diffusion …

Complex 3D scene understanding has gained increasing attention, with scene encoding
strategies playing a crucial role in this success. However, the optimal scene encoding …