collaborators

6 papers

cs.CV2026

OCA: ODE-Driven Cross-Attention for Image-to-Point-Cloud Registration

Pei An, Jiaqi Yang, Yulong Wang +2

Cross-attention is a crucial component in learning-based image-to-point-cloud (I2P) registration. Although existing cross-attention mechanisms have achieved promising progress, att…

cs.RO2026

World-Action Models for Robot Learning and Control: A Survey

Zuxing Lu, Hongjia Zhai, Guanzhi Wang +13

Robots operating in open environments act under partial observability, physical constraints, and dynamic task contexts. Beyond mapping observations and language instructions to act…

cs.CV2026

Ex-Sim(3)-Reg: 2D-3D Correspondence Pruning via Extended Sim(3) Registration

Pei An, Muyao Peng, Junfeng Ding +2

Learning-based image-to-point-cloud (I2P) registration has garnered increasing attention in recent years. Nevertheless, existing methods still struggle with severe outliers under c…

cs.CV2026

StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video

Huajian Zeng, Chaohua Yao, Yuantai Zhang +3

Recovering world space 4D motion of two interacting hands from egocentric video is a fundamental capability for supervising robot policy learning, where wrist trajectories track th…

cs.RO2026

Efficient Feature-Free Initialization for Monocular Visual-Inertial Systems Using a Feed-Forward 3D Model

Yuantai Zhang, Jiaqi Yang, Huajian Zeng +5

Fast and reliable initialization is critical for monocular visual-inertial navigation systems (VINS), as it establishes the starting conditions for subsequent state estimation. Des…

cs.CV2026

Hg-I2P: Bridging Modalities for Generalizable Image-to-Point-Cloud Registration via Heterogeneous Graphs

Pei An, Junfeng Ding, Jiaqi Yang +3

Image-to-point-cloud (I2P) registration aims to align 2D images with 3D point clouds by establishing reliable 2D-3D correspondences. The drastic modality gap between images and poi…