activity
20232026
most citedTransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation

24 citations · 32 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Graph-MambaNav: Spatial-Temporal Graph Mamba Leveraging Object-Relation Knowledge for Object-Goal Navigation

Leyuan Sun, Genxin Chen, Linwei Ye +3

Object-goal navigation requires an agent to reason over object relationships and prioritize target-relevant objects for efficient decision making in unseen environments. While exis…

cs.CV2025

MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction

Yusuke Yoshiyasu, Leyuan Sun, Ryusuke Sagawa

In this paper, we introduce MeshMamba, a neural network model for learning 3D articulated mesh models by employing the recently proposed Mamba State Space Models (Mamba-SSMs). Mesh…

cs.CV2024

DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose

Yusuke Yoshiyasu, Leyuan Sun

This paper presents DiffSurf, a transformer-based denoising diffusion model for generating and reconstructing 3D surfaces. Specifically, we design a diffusion transformer architect…

cs.RO2024★ 8 cited

Leveraging Large Language Model-based Room-Object Relationships Knowledge for Enhancing Multimodal-Input Object Goal Navigation

Leyuan Sun, Asako Kanezaki, Guillaume Caron +1

Object-goal navigation is a crucial engineering task for the community of embodied navigation; it involves navigating to an instance of a specified object category within unseen en…

cs.RO2023★ 24 cited

TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation

Leyuan Sun, Guanqun Ding, Yue Qiu +2

Multi-modal fusion of sensors is a commonly used approach to enhance the performance of odometry estimation, which is also a fundamental module for mobile robots. However, the ques…