Understanding dark scenes based on multi-modal image data is challenging...
Modern perception systems of autonomous vehicles are known to be sensiti...
Existing multi-agent perception algorithms usually select to share deep
...
Self-supervised cross-modal super-resolution (SR) can overcome the diffi...
An n × n matrix with ± 1 entries which acts on ℝ^n as a
scaled isometry ...
Restoring and inpainting the visual memories that are present, but often...
Renovating the memories in old photos is an intriguing research topic in...
Most existing CNN-based super-resolution (SR) methods are developed base...
The complex Langevin (CL) method is a classical numerical strategy to
al...
Current CNN-based super-resolution (SR) methods process all locations eq...