29 citations · 51 across the 9 of their papers we have counts for
9 papers
Score-PA: Score-based 3D Part Assembly
Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang +3
Autonomous 3D part assembly is a challenging task in the areas of robotics and 3D computer vision. This task aims to assemble individual components into a complete shape without re…
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation
Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li +2
The task of Visual Object Navigation (VON) involves an agent's ability to locate a particular object within a given scene. In order to successfully accomplish the VON task, two ess…
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
Tianhao Wu, Mingdong Wu, Jiyao Zhang +2
The use of anthropomorphic robotic hands for assisting individuals in situations where human hands may be unavailable or unsuitable has gained significant importance. In this paper…
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation from Image Sequence
Yang Tian, Jiyao Zhang, Zekai Yin +1
In this work, we tackle the problem of online camera-to-robot pose estimation from single-view successive frames of an image sequence, a crucial task for robots to interact with th…
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
Jiyao Zhang, Mingdong Wu, Hao Dong
Object pose estimation plays a vital role in embodied AI and computer vision, enabling intelligent agents to comprehend and interact with their surroundings. Despite the practicali…
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
Hao Dong, Weihao Gu, Xianjing Zhang +5
High-definition (HD) semantic map generation of the environment is an essential component of autonomous driving. Existing methods have achieved good performance in this task by fus…
Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors
Hao Dong, Xieyuanli Chen, Mihai Dusmanu +3
A distinctive representation of image patches in form of features is a key component of many computer vision and robotics tasks, such as image matching, image retrieval, and visual…
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments
Hao Dong, Xieyuanli Chen, Simo Särkkä +1
Robust and accurate localization is a basic requirement for mobile autonomous systems. Pole-like objects, such as traffic signs, poles, and lamps are frequently used landmarks for…
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments
Hao Dong, Xieyuanli Chen, Cyrill Stachniss
Reliable and accurate localization is crucial for mobile autonomous systems. Pole-like objects, such as traffic signs, poles, lamps, etc., are ideal landmarks for localization in u…