4 papers
SceneBot: Contact-Prompted General Humanoid Whole Body Tracking with Scene-Interaction
Sirui Chen, Shibo Zhao, Zhen Wu +3
Current humanoid reinforcement-learning policies excel at free-space motions but struggle with contact-rich tasks, as pure kinematic tracking cannot resolve the physical ambiguitie…
Beyond Frame-wise Tracking: A Trajectory-based Paradigm for Efficient Point Cloud Tracking
BaiChen Fan, Yuanxi Cui, Jian Li +4
LiDAR-based 3D single object tracking (3D SOT) is a critical task in robotics and autonomous systems. Existing methods typically follow frame-wise motion estimation or a sequence-b…
MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues
Zhaofeng Hu, Sifan Zhou, Zhihang Yuan +3
3D single object tracking is essential in autonomous driving and robotics. Existing methods often struggle with sparse and incomplete point cloud scenarios. To address these limita…
PTQ4RIS: Post-Training Quantization for Referring Image Segmentation
Xiaoyan Jiang, Hang Yang, Kaiying Zhu +3
Referring Image Segmentation (RIS), aims to segment the object referred by a given sentence in an image by understanding both visual and linguistic information. However, existing R…