Search Results for author:
Found 2 papers, 0 papers with code
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images
Visual SLAM is essential for mobile robots, drone navigation, and VR/AR, but traditional RGB camera systems struggle in low-light conditions, driving interest in thermal SLAM, which excels in such environments.
Flatten: Video Action Recognition is an Image Classification task
In recent years, video action recognition, as a fundamental task in the field of video understanding, has been deeply explored by numerous researchers. Most traditional video action recognition methods typically involve converting videos into three-dimensional data that encapsulates both spatial and temporal information, subsequently leveraging prevalent image understanding models to model and analyze these data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
