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Haomin Liu

4 accepted papers

2026

SparseCam4D: Spatio-Temporally Consistent 4D Reconstruction from Sparse Cameras

CVPR 2026

High-quality 4D reconstruction enables photorealistic and immersive rendering of the dynamic real world. However, unlike static scenes that can be fully captured with a single camera, high-quality dynamic scenes typically require dense arrays of tens or even hundreds of synchronized cameras. Depende

Cited by 0SourcecodeScholar
2025

StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation

CVPR 2025poster

Recent advances in large reconstruction and generative models have significantly improved scene reconstruction and novel view generation. However, due to compute limitations, each inference with these large models is confined to a small area, making long-range consistent scene generation challenging…

Cited by 1SourcePDFScholar
2023

Long-Term Visual Localization With Mobile Sensors

CVPR 2023poster

Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging problem due to huge appearance disparity between query and reference images caused by illumination, seasonal and structural c…

2018

ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM

CVPR 2018poster

Modern visual-inertial SLAM (VI-SLAM) achieves higher accuracy and robustness than pure visual SLAM, thanks to the complementariness of visual features and inertial measurements. However, jointly using visual and inertial measurements to optimize SLAM objective functions is a problem of high computa…