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most citedEnhancing Vectorized Map Perception with Historical Rasterized Maps

1 citations · 2 across the 4 of their papers we have counts for

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cs.CV2026

RoSe-SLAM: Robust Semantic-Aware Gaussian Splatting SLAM from Dynamic Monocular Videos

Wenting Wang, Jiaxin Guo, Wenzhen Dong +3

In dynamic and unstructured environments, conventional SLAM systems generally suffer from significant accuracy degeneration due to their static assumptions. In this work, we propos…

cs.CV2025

SaLon3R: Structure-aware Long-term Generalizable 3D Reconstruction from Unposed Images

Jiaxin Guo, Tongfan Guan, Wenzhen Dong +5

Recent advances in 3D Gaussian Splatting (3DGS) have enabled generalizable, on-the-fly reconstruction of sequential input views. However, existing methods often predict per-pixel G…

cs.CV20251 cited

BridgeDepth: Bridging Monocular and Stereo Reasoning with Latent Alignment

Tongfan Guan, Jiaxin Guo, Chen Wang +1

Monocular and stereo depth estimation offer complementary strengths: monocular methods capture rich contextual priors but lack geometric precision, while stereo approaches leverage…

cs.CV20241 cited

Enhancing Vectorized Map Perception with Historical Rasterized Maps

Xiaoyu Zhang, Guangwei Liu, Zihao Liu +3

In autonomous driving, there is growing interest in end-to-end online vectorized map perception in bird's-eye-view (BEV) space, with an expectation that it could replace traditiona…

cs.CV2024

Neural Markov Random Field for Stereo Matching

Tongfan Guan, Chen Wang, Yun-Hui Liu

Stereo matching is a core task for many computer vision and robotics applications. Despite their dominance in traditional stereo methods, the hand-crafted Markov Random Field (MRF)…