Synthetic aperture radar (SAR) imaging technology is commonly used to pr...
Key-point-based scene understanding is fundamental for autonomous drivin...
Event cameras are capable of responding to log-brightness changes in
mic...
High-quality panoramic images with a Field of View (FoV) of 360-degree a...
In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO)
fra...
Diffusion-based speech enhancement (SE) has been investigated recently, ...
Audio classification and restoration are among major downstream tasks in...
A semantic map of the road scene, covering fundamental road elements, is...
Time-domain speech enhancement (SE) has recently been intensively
invest...
Visual place recognition has received increasing attention in recent yea...
This paper raises the new task of Fisheye Semantic Completion (FSC), whe...
Seeing only a tiny part of the whole is not knowing the full circumstanc...
Multimodal fusion can make semantic segmentation more robust. However, f...
Limited by hardware cost and system size, camera's Field-of-View (FoV) i...
Semantic scene understanding with Minimalist Optical Systems (MOS) in mo...
The bi-encoder structure has been intensively investigated in code-switc...
As a special class of array codes, (n,k,m) piggybacking codes are MDS co...
In this paper, we address panoramic semantic segmentation, which provide...
Dual-encoder structure successfully utilizes two language-specific encod...
Panoramic Annular Lens (PAL), composed of few lenses, has great potentia...
Human Pose Estimation (HPE) based on RGB images has experienced a rapid
...
Self-attention based models are widely used in news recommendation tasks...
With the rapid development of high-speed communication and artificial
in...
Optical flow estimation is a basic task in self-driving and robotics sys...
Visual-inertial-odometry has attracted extensive attention in the field ...
Optical flow estimation is an essential task in self-driving systems, wh...
This letter proposes a synthetic aperture radar (SAR) image registration...