2.5D-VoteNet: Depth Map based 3D Object Detection for Real-Time Applications. - Lanxiao Li; Michael Heizmann (BMVC, 2021)

A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision. - Lanxiao Li; Michael Heizmann (ECCV (30), 2022)

Applying Plain Transformers to Real-World Point Clouds. - Lanxiao Li; Michael Heizmann (CoRR, 2023)

Randomized 3D Scene Generation for Generalizable Self-supervised Pre-training. - Lanxiao Li; Michael Heizmann (CoRR, 2023)

Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data. - Lanxiao Li (2023)

Self-supervised learning video anomaly detection based on time interval prediction and noise classification. - Yishuo Liu; Chuanxu Wang; Qingyang Yang; Lanxiao Li; Binghui Wang (Pattern Recognit., 2026)