8 accepted papers
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task due to the substantial modality gap between visible and infrared images. While existing methods attempt to bridge this gap by learning modality-invariant features within a shared embedding space, they often overlook
Visual SLAM algorithms achieve significant improvements through the exploration of 3D Gaussian Splatting (3DGS) representations, particularly in generating high-fidelity dense maps. However, they depend on a static environment assumption and experience significant performance degradation in dynamic …
Dexterous grasp generation is a predominant task that enables robots to perform human-level manipulation. However, a dexterous hand always maintains high-dimensional DoF and actuation space, making existing approaches that rely on holistic latent representations difficult to produce high-quality and
World models derived from large-scale video generative pre-training have emerged as a promising paradigm for generalist robot policy learning. However, standard approaches often focus on high-fidelity RGB video prediction, but this can result in overfitting to irrelevant factors, such as dynamic bac…
Graph Neural Network (GNN) has been widely applied in multivariate time series forecasting due to its excellent relationship modeling capabilities. However, current methods still face limitations in computational efficiency or time series expression capabilities. To address these issues, we propose…
In warehouse logistics and post-disaster rescue, multi-UAV payload transport must navigate tight spaces, such as 1.2m × 0.8m aisles and collapsed pipelines as narrow as 0.6m. Traditional four-DOF (translation and scaling) trajectory planning struggles under such constraints. To overcome this, we pro
Clothing-change person re-identification (CC Re-ID) has attracted increasing attention in recent years due to its application prospect. Most existing works struggle to adequately extract the ID-related information from the original RGB images. In this paper, we propose an Identity-aware Feature Deco…
Occupancy mapping is crucial for distinguishing between known and unknown regions, which plays a significant role in the autonomous exploration of unmanned aerial vehicles (UAVs). However, the construction of high-quality maps is still a challenge. The challenge comes from the following factors. The