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 …

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 …

For the last few decades, several major subfields of artificial intelligence including computer
vision, graphics, and robotics have progressed largely independently from each other …

We present HOI4D, a large-scale 4D egocentric dataset with rich annotations, to catalyze the
research of category-level human-object interaction. HOI4D consists of 2.4 M RGB-D …

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

Existing offboard 3D detectors always follow a modular pipeline design to take advantage of
unlimited sequential point clouds. We have found that the full potential of offboard 3D …

Semantic perception is a core building block in autonomous driving, since it provides
information about the drivable space and location of other traffic participants. For learning …

Monocular scene understanding is a foundational component of autonomous systems.
Within the spectrum of monocular perception topics, one crucial and useful task for holistic …

Abstract Most (3D) multi-object tracking methods rely on appearance-based cues for data
association. By contrast, we investigate how far we can get by only encoding geometric …

Multi-beam LiDAR sensors, as used on autonomous vehicles and mobile robots, acquire
sequences of 3D range scans (“frames”). Each frame covers the scene sparsely, due to …