1 citations · 2 across the 9 of their papers we have counts for
10 papers
Revisiting Topological Graphs for Macro Action based Closed-loop Reinforcement Learning of Vision Language Navigation in Continuous Environment
Shuhao Ye, Sitong Mao, Yuxiang Cui +7
Vision-Language Navigation in Continuous Environments (VLN-CE) requires an agent to follow natural language instructions through unseen environments. Existing imitation learning (I…
Ψ-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer
Xuan Yu, Yuxuan Xie, Changjian Jiang +4
Open-vocabulary panoptic reconstruction is essential for advanced robotics perception and simulation. However, existing methods based on 3D Gaussian Splatting (3DGS) often struggle…
Fast-SegSim: Real-Time Open-Vocabulary Segmentation for Robotics in Simulation
Xuan Yu, Yuxuan Xie, Shichao Zhai +3
Open-vocabulary panoptic reconstruction is crucial for advanced robotics and simulation. However, existing 3D reconstruction methods, such as NeRF or Gaussian Splatting variants, o…
ETP-R1: Evolving Topological Planning with Reinforcement Fine-tuning for Vision-Language Navigation in Continuous Environments
Shuhao Ye, Sitong Mao, Yuxiang Cui +6
Vision-Language Navigation in Continuous Environments (VLN-CE) requires an embodied agent to navigate towards target in continuous environments, following natural language instruct…
PanopticSplatting: End-to-End Panoptic Gaussian Splatting
Yuxuan Xie, Xuan Yu, Changjian Jiang +5
Open-vocabulary panoptic reconstruction is a challenging task for simultaneous scene reconstruction and understanding. Recently, methods have been proposed for 3D scene understandi…
Leverage Cross-Attention for End-to-End Open-Vocabulary Panoptic Reconstruction
Xuan Yu, Yuxuan Xie, Yili Liu +4
Open-vocabulary panoptic reconstruction offers comprehensive scene understanding, enabling advances in embodied robotics and photorealistic simulation. In this paper, we propose Pa…
Scale Disparity of Instances in Interactive Point Cloud Segmentation
Chenrui Han, Xuan Yu, Yuxuan Xie +5
Interactive point cloud segmentation has become a pivotal task for understanding 3D scenes, enabling users to guide segmentation models with simple interactions such as clicks, the…
Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction
Yili Liu, Linzhan Mou, Xuan Yu +4
Accurate perception of the dynamic environment is a fundamental task for autonomous driving and robot systems. This paper introduces Let Occ Flow, the first self-supervised work fo…
PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction
Xuan Yu, Yili Liu, Chenrui Han +5
Panoptic reconstruction is a challenging task in 3D scene understanding. However, most existing methods heavily rely on pre-trained semantic segmentation models and known 3D object…
NGEL-SLAM: Neural Implicit Representation-based Global Consistent Low-Latency SLAM System
Yunxuan Mao, Xuan Yu, Kai Wang +3
Neural implicit representations have emerged as a promising solution for providing dense geometry in Simultaneous Localization and Mapping (SLAM). However, existing methods in this…