2 citations · 2 across the 3 of their papers we have counts for
5 papers
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…
XYZ-IBD: Benchmarking Robust 6D Object Pose Estimation under Real-World Industrial Complexity
Junwen Huang, Jiaqi Hu, Peter KT Yu +3
While current 6D pose estimation benchmarks have reached near-saturation on household objects, they often fail to capture the stochastic and optical complexities of industrial envi…
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…
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…
RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation
Junwen Huang, Shishir Reddy Vutukur, Peter KT Yu +3
Typical template-based object pose pipelines estimate the pose by retrieving the closest matching template and aligning it with the observed image. However, failure to retrieve the…