3 accepted papers
Human motion retargeting for humanoid robots, transferring human motion data to robots for imitation, presents significant challenges but offers considerable potential for real-world applications. Traditionally, this process relies on human demonstrations captured through pose estimation or motion c
Transferring visual-language knowledge from large-scale foundation models for video recognition has proved to be effective. To bridge the domain gap, additional parametric modules are added to capture the temporal information. However, zero-shot generalization diminishes with the increase in the num…
Local feature extraction constitutes a foundational module crucial for numerous downstream tasks of computer vision. Its primary challenge lies in the generation of discriminative feature representations. Prior methodologies have employed contrastive learning within their pipelines, yet have encount…