Multimodal fusion can make semantic segmentation more robust. However, fusing an
arbitrary number of modalities remains underexplored. To delve into this problem, we create …

Transparent object perception is a rapidly develo** research problem in artificial
intelligence. The ability to perceive transparent objects enables robots to achieve higher …

Most existing RGB-based trackers target low frame rate benchmarks of around 30 frames
per second. This setting restricts the tracker's functionality in the real world, especially for fast …

Glass surface detection is challenging as glass normally borrows similar visual appearances
from the arbitrary objects/scenes behind it. Although some methods have been proposed to …

State-of-the-art solutions for Shape-from-Polarization (SfP) suffer from a speed-resolution
tradeoff: they either sacrifice the number of polarization angles measured or necessitate …

Glass surfaces are omnipresent in our daily lives and often go unnoticed by the majority of
us. While humans are generally able to infer their locations and thus avoid collisions, it can …

Camouflaged object segmentation (COS) is a very challenging task due to the deceitful
appearances of the candidate objects to the noisy backgrounds. Most existing state-of-the …

Fusing an arbitrary number of modalities is vital for achieving robust multi-modal fusion of
semantic segmentation yet remains less explored to date. Recent endeavors regard RGB …

In this paper, we present the first polarization-guided video glass segmentation propagation
solution (PGVS-Net) that can robustly and coherently propagate glass segmentation in RGB …

The polarization event camera PDAVIS is a novel bio-inspired neuromorphic vision sensor
that reports both conventional polarization frames and asynchronous, continuously per-pixel …