Wenfei Guan — accepted AI-conference papers

2026

Beyond Endpoints: Path-Centric Reasoning for Vectorized Off-Road Network Extraction

Wenfei Guan, Jilin Mei, Tong Shen, Xumin Wu, Shuo Wang, Chen Min +1

CVPR 2026

Deep learning has advanced vectorized road extraction in urban settings, yet off-road environments remain underexplored and challenging. A significant domain gap causes advanced models to fail in wild terrains due to two key issues: lack of large-scale vectorized datasets and structural weakness in

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2023

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu +2

NeurIPS 2023poster

Spatio-temporal predictive learning is a learning paradigm that enables models to learn spatial and temporal patterns by predicting future frames from given past frames in an unsupervised manner. Despite remarkable progress in recent years, a lack of systematic understanding persists due to the dive…

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