5 papers
TriCons-Pose: Triangle-Invariant Geometric Consistency Learning for Category-Level Object Pose Estimation
Zuzhi Yang, Bingtao Ma, Shuai Wang +5
Category-level object pose estimation is a crucial yet challenging task in both academia and industry, and has achieved remarkable success by leveraging keypoint-based corresponden…
Environment-Adaptive Solid-State LiDAR-Inertial Odometry
Zhi Zhang, Chalermchon Satirapod, Bingtao Ma +1
Solid-state LiDAR-inertial SLAM has attracted significant attention due to its advantages in speed and robustness. However, achieving accurate mapping in extreme environments remai…
TSM-Pose: Topology-Aware Learning with Semantic Mamba for Category-Level Object Pose Estimation
Jinshuo Liu, Bingtao Ma, Junlin Su +6
Category-level object pose estimation is fundamental for embodied intelligence, yet achieving robust generalization to unseen instances remains challenging. However, existing metho…
Physically-Grounded Manifold Projection Model for Generalizable Metal Artifact Reduction in Dental CBCT
Zhi Li, Yaqi Wang, Bingtao Ma +3
Metal artifacts in Dental CBCT severely obscure anatomical structures, hindering diagnosis. Current deep learning for Metal Artifact Reduction (MAR) faces limitations: supervised m…
Graph Neural Networks Based Analog Circuit Link Prediction
Guanyuan Pan, Tiansheng Zhou, Jianxiang Zhao +6
Circuit link prediction, which identifies missing component connections from incomplete netlists, is crucial in analog circuit design automation. However, existing methods face thr…