The recent wave of AI-generated content (AIGC) has witnessed substantial success in
computer vision, with the diffusion model playing a crucial role in this achievement. Due to …

Sora is a text-to-video generative AI model, released by OpenAI in February 2024. The
model is trained to generate videos of realistic or imaginative scenes from text instructions …

Diffusion models are powerful, but they require a lot of time and data to train. We propose
Patch Diffusion, a generic patch-wise training framework, to significantly reduce the training …

We study supervised action segmentation whose goal is to predict framewise action labels
of a video. To capture temporal dependencies over long horizons prior works either improve …

We address the problem of online action segmentation for egocentric procedural task
videos. While previous studies have mostly focused on offline action segmentation where …

Temporal action segmentation (TAS) in videos aims at densely identifying video frames in
minutes-long videos with multiple action classes. As a long-range video understanding task …

Recently, the field of generative models has seen a significant advancement with the
introduction of Diffusion Probabilistic Models (DPMs). The Denoising Diffusion Implicit Model …

Action detection aims to localize the starting and ending points of action instances in
untrimmed videos and predict the classes of those instances. In this paper we make the …

This paper tackles two critical challenges encountered in classifier guidance for diffusion
generative models, ie, the lack of diversity and the presence of adversarial effects. These …

Video action segmentation have been widely applied in many fields. Most previous studies
employed video-based vision models for this purpose. However, they often rely on a large …