4 papers
JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas
Sandeep Inuganti, Hideaki Kanayama, Kanta Shimizu +4
Semantic segmentation across visual modalities such as 3D point clouds and panoramic images remains a challenging task, primarily due to the scarcity of annotated data and the limi…
JENGA: Object selection and pose estimation for robotic grasping from a stack
Sai Srinivas Jeevanandam, Sandeep Inuganti, Shreedhar Govil +2
Vision-based robotic object grasping is typically investigated in the context of isolated objects or unstructured object sets in bin picking scenarios. However, there are several s…
Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation
Yongliang Lin, Yongzhi Su, Sandeep Inuganti +5
Estimating the 6D pose of an object from a single RGB image is a critical task that becomes additionally challenging when dealing with symmetric objects. Recent approaches typicall…
HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation
Yongliang Lin, Yongzhi Su, Praveen Nathan +7
In this work, we present a novel dense-correspondence method for 6DoF object pose estimation from a single RGB-D image. While many existing data-driven methods achieve impressive p…