Abstract Video Moment Retrieval (MR) and Highlight Detection (HD) have attracted
significant attention due to the growing demand for video analysis. Recent approaches treat …

This paper studies open-vocabulary segmentation (OVS) through calibrating in-vocabulary
and domain-biased embedding space with generalized contextual prior of CLIP. As the core …

This paper aims to achieve universal segmentation of arbitrary semantic level. Despite
significant progress in recent years specialist segmentation approaches are limited to …

Referring video segmentation relies on natural language expressions to identify and
segment objects often emphasizing motion clues. Previous works treat a sentence as a …

Linguistic communication is prevalent in Human-Computer Interaction (HCI). Speech
(spoken language) serves as a convenient yet potentially ambiguous form due to noise and …

Referring video object segmentation (RVOS) aims to segment the target instance referred by
a given text expression in a video clip. The text expression normally contains sophisticated …

Referring Video Object Segmentation (R-VOS) methods face challenges in maintaining
consistent object segmentation due to temporal context variability and the presence of other …

Video moment localization (VML) aims to identify the temporal boundary semantically
matching the given query. Point-supervised VML balances localization accuracy and …

Remote-sensing fine-grained ship classification (RS-FGSC) poses a significant challenge
due to the high similarity between classes and the limited availability of labeled data, limiting …

Audio-Visual Segmentation (AVS) aims to extract the sounding object from a video frame,
which is represented by a pixel-wise segmentation mask for application scenarios such as …