Enmei Tu — accepted AI-conference papers

2026

SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction

Linyong Gan, Zimo Li, Wenxin XU, Xingjian Li, Jianhua Huang, Enmei Tu +1

ICML 2026poster

Accurate long-horizon vessel trajectory prediction remains challenging due to compounded uncertainty from complex navigation behaviors and environmental factors. Existing methods often struggle to maintain global directional consistency, leading to drifting or implausible trajectories when extrapola…

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2021

Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence

Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang

ICASSP 2021accepted

Segmentation of skin lesions is important for disease diagnoses and treatment planning. Over the years, semi-supervised methods using pseudo labels have boosted the segmentation performance with limited labeled data and abundant unlabeled data. However, the unreliable targets in pseudo labels might…

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