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Lanxiao Li

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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2026
[j6]
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  - journals/eswa/LiWLWS26
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Lanxiao Li, Chuanxu Wang, Yishuo Liu, Binghui Wang, Da Song:
IPG-FRN: Intrinsic prototype-guided feature reconstruction network for industrial anomaly detection. Expert Syst. Appl. 320: 132147 (2026)
[j5]
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Binghui Wang, Chunjuan Yan, Da Song, Lanxiao Li, Chuanxu Wang:
Prompt-guided fine-grained semantic alignment for weakly supervised video anomaly detection. Knowl. Based Syst. 343: 115944 (2026)
[j4]
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Yishuo Liu, Chuanxu Wang, Qingyang Yang, Lanxiao Li, Binghui Wang:
Self-supervised learning video anomaly detection based on time interval prediction and noise classification. Pattern Recognit. 171: 112198 (2026)
[j3]
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Lanxiao Li, Chunjuan Yan, Da Song, Binghui Wang, Chuanxu Wang:
A prototype correction multi-scale feature reconstruction network for industrial anomaly detection. Pattern Recognit. 177: 113331 (2026)
2025
[j2]
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  - journals/jei/SongWLLW25
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Da Song, Binghui Wang, Lanxiao Li, Yishuo Liu, Chuanxu Wang:
CPFormer: contrast planes transformer for point cloud semantic segmentation. J. Electronic Imaging 34(5) (2025)
[j1]
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Lanxiao Li, Chuanxu Wang, Qingyang Yang, Yishuo Liu, Jiawei Li:
MSAF-AD: industrial anomaly detection based on multi-scale anomaly synthesis and adaptive feature fusion. J. Electronic Imaging 34(6) (2025)
2023
[b1]
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Lanxiao Li:
Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data. Karlsruhe Institute of Technology, Germany, 2023
[i3]
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  - journals/corr/abs-2303-00086
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Lanxiao Li, Michael Heizmann:
Applying Plain Transformers to Real-World Point Clouds. CoRR abs/2303.00086 (2023)
[i2]
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  - journals/corr/abs-2306-04237
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Lanxiao Li, Michael Heizmann:
Randomized 3D Scene Generation for Generalizable Self-supervised Pre-training. CoRR abs/2306.04237 (2023)
2022
[c2]
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  - conf/eccv/LiH22
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Lanxiao Li, Michael Heizmann:
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision. ECCV (30) 2022: 656-673
[i1]
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  - journals/corr/abs-2207-04997
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Lanxiao Li, Michael Heizmann:
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision. CoRR abs/2207.04997 (2022)
2021
[c1]
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Lanxiao Li, Michael Heizmann:
2.5D-VoteNet: Depth Map based 3D Object Detection for Real-Time Applications. BMVC 2021: Article 262

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.