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Jianran Liu

2 accepted papers

2026

RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-wave Point Cloud Sequence

AAAI 2026technical

Millimeter-wave radar offers a privacy-preserving and environment-robust alternative to vision-based sensing, enabling human motion analysis in challenging conditions such as low light, occlusions, rain, or smoke. However, its sparse point clouds pose significant challenges for semantic understandin

Cited by 0SourcePDFScholar
2020

PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation

CVPR 2020poster

In this work, we present a novel data-driven method for robust 6DoF object pose estimation from a single RGBD image. Unlike previous methods that directly regressing pose parameters, we tackle this challenging task with a keypoint-based approach. Specifically, we propose a deep Hough voting network…

Cited by 613PDFcodeScholar