Jason R. Rambach — accepted AI-conference papers

2025

JENGA: Object selection and pose estimation for robotic grasping from a stack

Sai Srinivas Jeevanandam, Sandeep Inuganti, Shreedhar Govil, Didier Stricker, Jason R. Rambach

IROS 2025

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 settings, such as construction or warehouse automation, where a robot needs to interact with a structured object formatio

Cited by 0 Source ↗Scholar ↗

2023

OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection

Yongzhi Su, Yan Di, Guangyao Zhai, Fabian Manhardt, Jason R. Rambach, Benjamin Busam +2

RA-L 2023

Monocular 3D object detection has recently made a significant leap forward thanks to the use of pre-trained depth estimators for pseudo-LiDAR recovery. Yet, such two-stage methods typically suffer from overfitting and are incapable of explicitly encapsulating the geometric relation between depth and

Cited by 39 Source ↗Scholar ↗