Image segmentation for video analysis plays an essential role in different research fields
such as smart city, healthcare, computer vision and geoscience, and remote sensing …

Panoptic scene understanding and tracking of dynamic agents are essential for robots and
automated vehicles to navigate in urban environments. As LiDARs provide accurate …

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 …

This paper presents Video K-Net, a simple, strong, and unified framework for fully end-to-
end video panoptic segmentation. The method is built upon K-Net, a method that unifies …

In the era of deep learning, various segmentation tasks have been studied. As a new
segmentation task, panoptic segmentation has been proposed and studied by researchers …

Panoptic segmentation presents a new challenge in exploiting the merits of both detection
and segmentation, with the aim of unifying instance segmentation and semantic …

As a rising task, panoptic segmentation is faced with challenges in both semantic
segmentation and instance segmentation. However, in terms of speed and accuracy …

Panoptic segmentation of point clouds is a crucial task that enables autonomous vehicles to
comprehend their vicinity using their highly accurate and reliable LiDAR sensors. Existing …

Temporal semantic scene understanding is critical for self-driving cars or robots operating in
dynamic environments. In this paper, we propose 4D panoptic LiDAR segmentation to …

Abstract 3D panoptic segmentation is a challenging perception task that requires both
semantic segmentation and instance segmentation. In this task, we notice that images could …