Autonomous vehicles were experiencing rapid development in the past few years. However,
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …

The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

Photometric loss is widely used for self-supervised depth and egomotion estimation.
However, the loss landscapes induced by photometric differences are often problematic for …

Depth completion aims to recover a dense depth map from the sparse depth data and the
corresponding single RGB image. The observed pixels provide the significant guidance for …

We propose a new video camouflaged object detection (VCOD) framework that can exploit
both short-term dynamics and long-term temporal consistency to detect camouflaged objects …

Visual and audio signals often coexist in natural environments, forming audio-visual events
(AVEs). Given a video, we aim to localize video segments containing an AVE and identify its …

Multi-modal fusion is a fundamental task for the perception of an autonomous driving
system, which has recently intrigued many researchers. However, achieving a rather good …

Visual and audio signals often coexist in natural environments, forming audio-visual events
(AVEs). Given a video, we aim to localize video segments containing an AVE and identify its …

This paper proposes a novel framework integrating the principles of active stereo in
standard passive camera systems without a physical pattern projector. We virtually project a …

Autonomous driving perception has made significant strides in recent years, but accurately
sensing the environment using a single sensor remains a daunting task. This review offers a …