All instance perception tasks aim at finding certain objects specified by some queries such
as category names, language expressions, and target annotations, but this complete field …

Visual segmentation seeks to partition images, video frames, or point clouds into multiple
segments or groups. This technique has numerous real-world applications, such as …

This paper strives for motion expressions guided video segmentation, which focuses on
segmenting objects in video content based on a sentence describing the motion of the …

We present GLEE in this work an object-level foundation model for locating and identifying
objects in images and videos. Through a unified framework GLEEaccomplishes detection …

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

Video segmentation aims to segment and track every pixel in diverse scenarios accurately.
In this paper, we present Tube-Link, a versatile framework that addresses multiple core tasks …

Video instance segmentation (VIS) is a critical task with diverse applications, including
autonomous driving and video editing. Existing methods often underperform on complex …

Current referring video object segmentation (R-VOS) techniques extract conditional kernels
from encoded (low-resolution) vision-language features to segment the decoded high …

The discrimination of instance embeddings plays a vital role in associating instances across
time for online video instance segmentation (VIS). Instance embedding learning is directly …

This paper studies referring video object segmentation (RVOS) by boosting video-level
visual-linguistic alignment. Recent approaches model the RVOS task as a sequence …