7 citations · 7 across the 9 of their papers we have counts for
9 papers
AtlasVLA: Persistent World-Ego State Modeling for Vision-Language-Action Models
Guiyu Zhao, Longteng Guo, Yanghong Mei +7
While Vision-Language-Action (VLA) models have advanced embodied AI, their fundamentally reactive paradigm severely limits performance in partially observable and long-horizon task…
NavWM: A Unified Navigation World Model for Foresight-Driven Planning
Yanghong Mei, Longteng Guo, Ming-Ming Yu +3
Conventional visual navigation policies often struggle with myopic decision-making and mode collapse in complex environments. While world models offer a promising alternative, exis…
VeriSpace: Spatially Grounded Action Verification for Vision-Language-Action Models
Guiyu Zhao, Longteng Guo, Junyou Zhu +6
Vision-language-action (VLA) models have shown strong promise for robotic manipulation, but their reliability at test time remains limited by one-shot action prediction, where even…
Progressive Correspondence Regenerator for Robust 3D Registration
Guiyu Zhao, Sheng Ao, Ye Zhang +2
Obtaining enough high-quality correspondences is crucial for robust registration. Existing correspondence refinement methods mostly follow the paradigm of outlier removal, which ei…
Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework
Guiyu Zhao, Zhentao Guo, Zewen Du +1
Due to the density inconsistency and distribution difference between cross-source point clouds, previous methods fail in cross-source point cloud registration. We propose a density…
LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention
Zewen Du, Zhenjiang Hu, Guiyu Zhao +2
Feature upsampling is an essential operation in constructing deep convolutional neural networks. However, existing upsamplers either lack specific feature guidance or necessitate t…
SGOR: Outlier Removal by Leveraging Semantic and Geometric Information for Robust Point Cloud Registration
Guiyu Zhao, Zhentao Guo, Hongbin Ma
In this paper, we introduce a new outlier removal method that fully leverages geometric and semantic information, to achieve robust registration. Current semantic-based registratio…
Cross-Layer Feature Pyramid Transformer for Small Object Detection in Aerial Images
Zewen Du, Zhenjiang Hu, Guiyu Zhao +2
Object detection in aerial images has always been a challenging task due to the generally small size of the objects. Most current detectors prioritize the development of new detect…
VRHCF: Cross-Source Point Cloud Registration via Voxel Representation and Hierarchical Correspondence Filtering
Guiyu Zhao, Zewen Du, Zhentao Guo +1
Addressing the challenges posed by the substantial gap in point cloud data collected from diverse sensors, achieving robust cross-source point cloud registration becomes a formidab…