3 papers
cs.CV2026
SOS! : A Streamlined Object-Conditional Transformer for Model-free Segmentation
Jiaqi Hu, Junwen Huang, Hongli Xu +4
Foundation segmentation models excel at generating high-quality, class-agnostic masks, but they struggle to associate these proposals with specific target objects. This semantic ga…
cs.CV2026
Pose Anything Anywhere:Model-free Object Poses from Arbitrary References
Hongli Xu, Jiaqi Hu, Junwen Huang +5
Estimating the 6D pose of unseen objects is a fundamental yet challenging problem for open-world robotics and embodied perception. Model-based methods are accurate but depend on CA…
cs.CV2025
BioDet: Boosting Industrial Object Detection with Image Preprocessing Strategies
Jiaqi Hu, Hongli Xu, Junwen Huang +3
Accurate 6D pose estimation is essential for robotic manipulation in industrial environments. Existing pipelines typically rely on off-the-shelf object detectors followed by croppi…