A unified model for 3D vision-language (3D-VL) understanding is expected to take various
scene representations and perform a wide range of tasks in a 3D scene. However, a …

Vision-based target detection and segmentation has been an important research content for
environment perception in autonomous driving, but the mainstream target detection and …

One of the most significant challenges of the mining industry is resource yield estimation
from visual data. An example would be identification of the rock chunk distribution …

Food computing has long been studied and deployed to several applications.
Understanding a food image at the instance level, including recognition, counting and …

Salient instance segmentation (SIS) is an emerging field that evolves from salient object
detection (SOD), aiming at identifying individual salient instances using segmentation maps …

This paper introduces an approach, named DFormer, for universal image segmentation. The
proposed DFormer views universal image segmentation task as a denoising process using …

This paper introduces a novel approach to learning instance segmentation using extreme
points ie the topmost leftmost bottommost and rightmost points of each object. These points …

Existing scene text detectors generally focus on accurately detecting single-level (ie word-
level line-level or paragraph-level) text entities without exploring the relationships among …

Video instance segmentation on mobile devices is an important yet very challenging edge AI
problem. It mainly suffers from (1) heavy computation and memory costs for frame-by-frame …

Industrial production of gravelly soil has been applied at construction sites in earth-rock
engineering, which adopts automatic blending and belt-conveyer systems for gravelly soil …