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Haosong Liu

4 accepted papers

2026

ASTRAEA: A Token-wise Acceleration Framework for Video Diffusion Transformers

ICLR 2026poster

Video diffusion transformers (vDiTs) have made tremendous progress in text-to-video generation, but their high computational demands pose a major challenge for practical deployment. While existing studies propose acceleration methods to reduce workload at various granularities, they often rely on he…

Cited by 0SourceScholar
2025

DGS-SLAM: A Visual Dense SLAM Based on Gaussian Splatting in Dynamic Environments

ICRA 2025

Visual dense SLAM can facilitate pose estimation and map reconstruction for sensor carriers in unknown environments. However, in uncontrolled environments such as offices, shopping malls, and train stations, frequent occurrences of people walking back and forth or temporary movement of objects withi

Cited by 1SourceScholar
2025

LOG-SLAM: Large-Scale Outdoor Gaussian SLAM for Dense Mapping and Loop Closure in Kilometer-Scale Scene Reconstruction

IROS 2025

The success of 3D Gaussian splatting in 3D reconstruction has recently led to efforts to integrate it with SLAM systems. However, most existing research has focused on indoor tracking and mapping, while outdoor Gaussian SLAM methods still heavily rely expensive LiDAR sensor. To address these challen

Cited by 0SourceScholar
2025

SDD-SLAM: Semantic-Driven Dynamic SLAM With Gaussian Splatting

RA-L 2025

Recently, significant advancements have been made in 3D Gaussian Splatting SLAM for dynamic environments. However, most existing methods primarily address active dynamic objects, such as people and vehicles, and fail to account for the impact of passive dynamic objects on localization and mapping. T

Cited by 10SourceScholar