Shaohua Liu — accepted AI-conference papers

2025

Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity

Tianqi Shen, Shaohua Liu, Jiaqi Feng, Ziye Ma, Ning An

AAAI 2025technical

Gaussian Splatting (GS) has emerged as a crucial technique for representing discrete volumetric radiance fields. It leverages unique parametrization to mitigate computational demands in scene optimization. This work introduces Topology-Aware 3D Gaussian Splatting (Topology-GS), which addresses two k…

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2024

SpectrumNet: Spectrum-Based Trajectory Encode Neural Network for Pedestrian Trajectory Prediction

Shaohua Liu, Yinglong Zhu, Pengfei Yao, Tianlu Mao, Zhaoqi Wang

ICASSP 2024accepted

Extracting motion pattern implied in the history trajectory is important for the pedestrian trajectory prediction task. The motion pattern determines how a pedestrian moves, including but not limited to reaction of interaction, tendency of speed and direction change. Although the motion pattern is a…

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