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20232026
most citedLearning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO2026

DynaMOMA: Instantaneous Prediction of Grasp Poses for Mobile Manipulation of Dynamic Objects

Zhinan Yu, Junyan Xu, Jiazhao Zhang +9

Mobile manipulation is a fundamental robotics task and has advanced rapidly in recent years, enabling robots to navigate, reach, and interact with objects in complex environments.…

cs.CV2024

CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs

Yihan Cao, Jiazhao Zhang, Zhinan Yu +5

Object goal navigation (ObjectNav) is a fundamental task in embodied AI, requiring an agent to locate a target object in previously unseen environments. This task is particularly c…

cs.CV2024

F2M-Reg: Unsupervised RGB-D Point Cloud Registration with Frame-to-Model Optimization

Zhinan Yu, Zheng Qin, Yijie Tang +4

This work studies the problem of unsupervised RGB-D point cloud registration, which aims at training a robust registration model without ground-truth pose supervision. Existing met…

cs.CV20241 cited

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes

Zhiyuan Yu, Zheng Qin, Lintao Zheng +1

Multi-instance point cloud registration estimates the poses of multiple instances of a model point cloud in a scene point cloud. Extracting accurate point correspondence is to the…

cs.CV2023

Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation

Yuhang Huang, Zheng Qin, Xinwang Liu +1

Recent studies have demonstrated that the forward diffusion process is crucial for the effectiveness of diffusion models in terms of generative quality and sampling efficiency. We…