activity
20232025
most citedLet Occ Flow: Self-Supervised 3D Occupancy Flow Prediction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.RO2023

NF-Atlas: Multi-Volume Neural Feature Fields for Large Scale LiDAR Mapping

Xuan Yu, Yili Liu, Sitong Mao +4

LiDAR Mapping has been a long-standing problem in robotics. Recent progress in neural implicit representation has brought new opportunities to robotic mapping. In this paper, we pr…