6 accepted papers
In the rapidly expanding logistics sector, parcel singulation has emerged as a significant bottleneck. To address this, we propose an automated parcel singulator utilizing a sparse actuator array, which presents an optimal balance between cost and efficiency, albeit requiring a sophisticated control…
Causal confusion, characterized by the learning of spurious correlations, detrimentally affects the generalization and effectiveness of reinforcement learning (RL) algorithms, especially in environments without latent confounders often encountered in robot autonomous navigation tasks. This study add…
Multi-spectral object Re-identification (ReID) aims to retrieve specific objects by leveraging complementary information from different image spectra. It delivers great advantages over traditional single-spectral ReID in complex visual environment. However, the significant distribution gap among dif…
Visible-Infrared Person Re-Identification (VI-ReID) is a challenging retrieval task under complex modality changes. Existing methods usually focus on extracting discriminative visual features while ignoring the reliability and commonality of visual features between different modalities. In this pape…
Video-based person re-identification aims to associate the video clips of the same person across multiple non-overlapping cameras. Spatial-temporal representations can provide richer and complementary information between frames, which are crucial to distinguish the target person when occlusion occur…
Planar object tracking is an actively studied problem in vision-based robotic applications. While several benchmarks have been constructed for evaluating state-of-the-art algorithms, there is a lack of video sequences captured in the wild rather than in constrained laboratory environment. In this pa…