GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
IEEE

PRAMGCN-Net: 3D Human Pose Estimation With a Parameterized Routing Adjacency Modulation Graph Convolutional Network

Abstract: Human pose estimation reconstructs 3D human joint positions from monocular images or videos, enabling applications in healthcare, sports, AR/VR, and animation. The challenge lies in depth ...
GitHub

Expose full pose estimate via MSP

I believe the community working with autonomous navigation would benefit if such a full pose estimate were exposed via MSP. One may argue that MSP_RAW_GPS message can be used to get a good position ...
IEEE

Occlusion-Aware 6D Pose Estimation with Depth-Guided Graph Encoding and Cross-Semantic Fusion for Robotic Grasping

Abstract: Reliable 6D pose estimation is crucial for robotic tasks but presents significant challenges in environments with occlusion. Recent approaches tend to directly predict pose parameters of ...