29 citations · 63 across the 11 of their papers we have counts for
13 papers
Multimodal Fusion of RGB and Complementary Modalities for Semantic Segmentation
Hu Cao, Yifeng Cheng, Mu He +3
Multi-modal semantic segmentation adds an auxiliary sensing stream to RGB images (RGB-X), such as thermal, LiDAR, depth, event, polarization, or light field. This can improve robus…
Efficient and Robust Absolute Pose Estimation via Gravity-Prior-Driven Transformation Decoupling and Pose Refinement
Hu Cao, Qianyi Yang, Xinyi Li +3
Estimation of the absolute pose of an object is an essential task for various robotic applications. Recently, incorporating gravity direction as prior information has emerged as a…
MC-Risk: Multi-Component Risk Fields for Risk Identification and Motion Planning
Maximilian Link, Yingjie Xu, Yingbai Hu +1
We present MC-Risk, a planner-aligned, multi-component risk field on a bird's-eye-view grid that yields early, calibrated, and class-aware risk localization. MC-Risk linearly compo…
AffordanceGrasp-R1:Leveraging Reasoning-Based Affordance Segmentation with Reinforcement Learning for Robotic Grasping
Dingyi Zhou, Mu He, Zhuowei Fang +4
We introduce AffordanceGrasp-R1, a reasoning-driven affordance segmentation framework for robotic grasping that combines a chain-of-thought (CoT) cold-start strategy with reinforce…
Accelerating Outlier-robust Rotation Estimation by Stereographic Projection
Taosi Xu, Yinlong Liu, Xianbo Wang +1
Rotation estimation plays a fundamental role in many computer vision and robot tasks. However, efficiently estimating rotation in large inputs containing numerous outliers (i.e., m…
Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search
Tianyu Huang, Haoang Li, Liangzu Peng +2
Estimating the rigid transformation with 6 degrees of freedom based on a putative 3D correspondence set is a crucial procedure in point cloud registration. Existing correspondence…
Transformation Decoupling Strategy based on Screw Theory for Deterministic Point Cloud Registration with Gravity Prior
Xinyi Li, Zijian Ma, Yinlong Liu +4
Point cloud registration is challenging in the presence of heavy outlier correspondences. This paper focuses on addressing the robust correspondence-based registration problem with…
Efficient and Deterministic Search Strategy Based on Residual Projections for Point Cloud Registration with Correspondences
Xinyi Li, Hu Cao, Yinlong Liu +3
Estimating the rigid transformation between two LiDAR scans through putative 3D correspondences is a typical point cloud registration paradigm. Current 3D feature matching approach…
HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration
Fan Lu, Guang Chen, Yinlong Liu +4
Point cloud registration is a fundamental problem in 3D computer vision. Outdoor LiDAR point clouds are typically large-scale and complexly distributed, which makes the registratio…
PointINet: Point Cloud Frame Interpolation Network
Fan Lu, Guang Chen, Sanqing Qu +3
LiDAR point cloud streams are usually sparse in time dimension, which is limited by hardware performance. Generally, the frame rates of mechanical LiDAR sensors are 10 to 20 Hz, wh…
MoNet: Motion-based Point Cloud Prediction Network
Fan Lu, Guang Chen, Yinlong Liu +3
Predicting the future can significantly improve the safety of intelligent vehicles, which is a key component in autonomous driving. 3D point clouds accurately model 3D information…
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor
Fan Lu, Guang Chen, Yinlong Liu +2
Keypoint detector and descriptor are two main components of point cloud registration. Previous learning-based keypoint detectors rely on saliency estimation for each point or farth…
Globally optimal vertical direction estimation in Atlanta World
Yinlong Liu, Alois Knoll, Guang Chen
In man-made environments, such as indoor and urban scenes, most of the objects and structures are organized in the form of orthogonal and parallel planes. These planes can be appro…