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2020 – today
- 2024
[j8]Weiming He, Lian Xu, JingXian Wang, Zhen Yue, Yi Jing, Shuaishuai Tai
, Jian Yang, Xiaodong Fang:
VCF2PCACluster: a simple, fast and memory-efficient tool for principal component analysis of tens of millions of SNPs. BMC Bioinform. 25(1): 173 (2024)- [i6]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Ferdous Sohel, Dan Xu:
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2403.01156 (2024) - 2023
- [j7]Wijayanti Nurul Khotimah, Mohammed Bennamoun, Farid Boussaïd, Lian Xu, David Edwards, Ferdous Sohel:
MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens. Int. J. Appl. Earth Obs. Geoinformation 118: 103286 (2023) - [j6]Weiming He, Jian Yang, Yi Jing, Lian Xu, Kang Yu, Xiaodong Fang:
NGenomeSyn: an easy-to-use and flexible tool for publication-ready visualization of syntenic relationships across multiple genomes. Bioinform. 39(3) (2023) - [j5]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Wanli Ouyang, Dan Xu:
Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation. Neural Comput. Appl. 35(27): 20189-20205 (2023) - [c9]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization. CVPR 2023: 19596-19605 - [c8]Dhruv Chetan Jobanputra, Mohammed Bennamoun, Farid Boussaïd, Lian Xu, Jafri Kuthubutheen:
Classical approaches and new deep learning trends to assist in accurately and efficiently diagnosing ear disease from otoscopic images. EUVIP 2023: 1-7 - [c7]Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun:
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion. ICCV 2023: 12074-12084 - [i5]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Hamid Laga, Wanli Ouyang, Dan Xu:
MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2308.03005 (2023) - 2022
- [j4]Wijayanti Nurul Khotimah, Farid Boussaïd, Ferdous Sohel, Lian Xu, David Edwards, Xiu Jin, Mohammed Bennamoun:
SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification. Remote. Sens. 14(17): 4288 (2022) - [c6]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation. CVPR 2022: 4300-4309 - [c5]Laurent Valentin Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods. NeurIPS 2022 - [i4]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu:
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation. CoRR abs/2203.02891 (2022) - [i3]Aref Miri Rekavandi, Lian Xu, Farid Boussaïd, Abd-Krim Seghouane, Stephen Hoefs, Mohammed Bennamoun:
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance. CoRR abs/2207.12926 (2022) - [i2]Laurent Valentin Jospin, Allen Antony, Lian Xu, Hamid Laga, Farid Boussaïd, Mohammed Bennamoun:
Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods. CoRR abs/2209.08305 (2022) - 2021
- [j3]Lian Xu, Hao Xue, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel:
Atrous convolutional feature network for weakly supervised semantic segmentation. Neurocomputing 421: 115-126 (2021) - [c4]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu:
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. ICCV 2021: 6964-6973 - [i1]Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu:
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2107.11787 (2021) - 2020
- [j2]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel:
Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation. IEEE Access 8: 75957-75967 (2020)
2010 – 2019
- 2019
- [c3]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
An Improved Approach to Weakly Supervised Semantic Segmentation. ICASSP 2019: 1897-1901 - [c2]Lian Xu, Mohammed Bennamoun, Farid Boussaïd, Senjian An, Ferdous Sohel:
Coral Classification Using DenseNet and Cross-modality Transfer Learning. IJCNN 2019: 1-8 - [p1]Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
Deep Learning for Marine Species Recognition. Handbook of Deep Learning Applications 2019: 129-145 - 2018
- [c1]Lian Xu, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaïd:
Classification of Corals in Reflectance and Fluorescence Images Using Convolutional Neural Network Representations. ICASSP 2018: 1493-1497 - 2017
- [j1]Panli Li, Qiufang Liu, Daoqiang Tang, Yinyan Zhu, Lian Xu, Xiaoguang Sun, Shaoli Song:
Lesion based diagnostic performance of dual phase 99mTc-MIBI SPECT/CT imaging and ultrasonography in patients with secondary hyperparathyroidism. BMC Medical Imaging 17(1): 60:1-60:8 (2017)
Coauthor Index
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