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2020 – today
- 2024
[j5]Wei Li
, Tao Feng, Guodong Du, Sixin Liang, Ang Bian:
Learning to cluster person via graph convolution networks for video-based person re-identification. Concurr. Comput. Pract. Exp. 36(17) (2024)- [j4]Sixin Liang, Jian-Zhou Zhang, Ang Bian, Jiaying You:
DECA-Net: Dual encoder and cross-attention fusion network for surgical instrument segmentation. Pattern Recognit. Lett. 185: 130-136 (2024) - [i3]Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Zixiang Zhao, Mang Wang, Aojun Lu, Tao Feng:
Make Continual Learning Stronger via C-Flat. CoRR abs/2404.00986 (2024) - 2023
- [j3]Shengsheng Deng, Shaolin Wu, Ang Bian, Jian-Zhou Zhang, Baofeng Di, Andreas Nienkötter, Tian Deng, Tao Feng:
Scattered Mountainous Area Building Extraction From an Open Satellite Imagery Dataset. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c6]Fan Wang, Jianzhou Zhang, Ang Bian:
A two-Dimensional Difference Histogram Equalization with fuzzy Cumulative Distribution Correction for dark Images. ICIP 2023: 241-245 - 2022
- [j2]Tao Feng, Kaifan Ji, Ang Bian, Chang Liu, Jianzhou Zhang:
Identifying players in broadcast videos using graph convolutional network. Pattern Recognit. 124: 108503 (2022) - [c5]Dominik Drees, Florian Eilers, Ang Bian, Xiaoyi Jiang:
A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation. GCPR 2022: 166-181 - [i2]Dominik Drees, Florian Eilers, Ang Bian, Xiaoyi Jiang:
A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation. CoRR abs/2206.00947 (2022) - [i1]Tao Feng, Hangjie Yuan, Mang Wang, Ziyuan Huang, Ang Bian, Jianzhou Zhang:
Progressive Learning without Forgetting. CoRR abs/2211.15215 (2022) - 2021
- [j1]Ang Bian, Xiaoyi Jiang, Dimitri Berh, Benjamin Risse:
Resolving Colliding Larvae by Fitting ASM to Random Walker-Based Pre-Segmentations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1184-1194 (2021) - [c4]Daniel Winter, Ang Bian, Xiaoyi Jiang:
Layer-Wise Relevance Propagation Based Sample Condensation for Kernel Machines. CAIP (1) 2021: 487-496
2010 – 2019
- 2018
- [b1]Ang Bian:
Statistical modeling based random walk for biomedical image processing. University of Münster, Germany, 2018, pp. 1-124 - 2017
- [c3]Ang Bian, Aaron Scherzinger, Xiaoyi Jiang:
An Enhanced Multi-label Random Walk for Biomedical Image Segmentation Using Statistical Seed Generation. ACIVS 2017: 748-760 - 2016
- [c2]Ang Bian, Xiaoyi Jiang:
T-Test Based Adaptive Random Walk Segmentation Under Multiplicative Speckle Noise Model. ACCV Workshops (2) 2016: 570-582 - [c1]Ang Bian, Xiaoyi Jiang:
Statistical Modeling Based Adaptive Parameter Setting for Random Walk Segmentation. ACIVS 2016: 698-710
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