3 accepted papers
This paper presents a novel continuous-time gradient-proportional-integral flow (GPIF) for motion planning with obstacle avoidance. We first frame the motion planning task as a constrained optimization problem, which is relaxed to be an unconstrained optimization problem that can be locally solved v
Monocular 3D object tracking methods are widely employed in robotic applications, however, they often struggle with low-contrast image sequences. In this paper, we introduce a novel approach to filtering redundant edges in images by leveraging sparse interior correspondences. Our method features a s
Skeleton-based action recognition has attracted much attention, benefiting from its succinctness and robustness. However, the minimal inter-class variation in similar action sequences often leads to confusion. The inherent spatiotemporal coupling characteristics make it challenging to mine the subtl…