| Multi-class token transformer for weakly supervised semantic segmentation L Xu, W Ouyang, M Bennamoun, F Boussaid, D Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 278 | 2022 |
| Leveraging auxiliary tasks with affinity learning for weakly supervised semantic segmentation L Xu, W Ouyang, M Bennamoun, F Boussaid, F Sohel, D Xu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 181 | 2021 |
| Learning multi-modal class-specific tokens for weakly supervised dense object localization L Xu, W Ouyang, M Bennamoun, F Boussaid, D Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 36 | 2023 |
| Atrous convolutional feature network for weakly supervised semantic segmentation L Xu, H Xue, M Bennamoun, F Boussaid, F Sohel Neurocomputing 421, 115-126, 2021 | 32 | 2021 |
| A Guide to Image-and Video-Based Small Object Detection Using Deep Learning: Case Study of Maritime Surveillance AM Rekavandi, L Xu, F Boussaid, AK Seghouane, S Hoefs, ... IEEE Transactions on Intelligent Transportation Systems, 2025 | 29 | 2025 |
| Deep learning for marine species recognition L Xu, M Bennamoun, S An, F Sohel, F Boussaid Handbook of deep learning applications, 129-145, 2019 | 28 | 2019 |
| Mctformer+: Multi-class token transformer for weakly supervised semantic segmentation L Xu, M Bennamoun, F Boussaid, H Laga, W Ouyang, D Xu IEEE transactions on pattern analysis and machine intelligence, 2024 | 26 | 2024 |
| MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens WN Khotimah, M Bennamoun, F Boussaid, L Xu, D Edwards, F Sohel International Journal of Applied Earth Observation and Geoinformation 118 …, 2023 | 14 | 2023 |
| An improved approach to weakly supervised semantic segmentation L Xu, M Bennamoun, F Boussaïd, S An, F Sohel ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 11 | 2019 |
| VAPCNet: viewpoint-aware 3D point cloud completion Z Fu, L Wang, L Xu, Z Wang, H Laga, Y Guo, F Boussaid, M Bennamoun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| SC-CAN: spectral convolution and Channel Attention network for wheat stress classification WN Khotimah, F Boussaid, F Sohel, L Xu, D Edwards, X Jin, ... Remote Sensing 14 (17), 4288, 2022 | 7 | 2022 |
| Coral classification using densenet and cross-modality transfer learning L Xu, M Bennamoun, F Boussaid, S An, F Sohel 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Classification of corals in reflectance and fluorescence images using convolutional neural network representations L Xu, M Bennamoun, S An, F Sohel, F Boussaid 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 7 | 2018 |
| Auxiliary tasks enhanced dual-affinity learning for weakly supervised semantic segmentation L Xu, M Bennamoun, F Boussaid, W Ouyang, F Sohel, D Xu IEEE Transactions on Neural Networks and Learning Systems, 2024 | 5 | 2024 |
| Scale-aware feature network for weakly supervised semantic segmentation L Xu, M Bennamoun, F Boussaid, F Sohel IEEE Access 8, 75957-75967, 2020 | 5 | 2020 |
| Active-Passive SimStereo--Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods L Jospin, A Antony, L Xu, H Laga, F Boussaid, M Bennamoun Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022 | 4 | 2022 |
| AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion Z Fu, L Wang, L Xu, Z Wang, H Laga, Y Guo, F Boussaid, M Bennamoun European Conference on Computer Vision (ECCV), 2024 | 1 | 2024 |
| Classical approaches and new deep learning trends to assist in accurately and efficiently diagnosing ear disease from otoscopic images DC Jobanputra, M Bennamoun, F Boussaid, L Xu, J Kuthubutheen 2023 11th European Workshop on Visual Information Processing (EUVIP), 1-7, 2023 | 1 | 2023 |
| Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation L Xu, M Bennamoun, F Boussaid, W Ouyang, D Xu Neural Computing and Applications 35 (27), 20189-20205, 2023 | 1 | 2023 |
| Deep Learning for Image Classification and Segmentation with Scarce Labelled Data L Xu | 1 | 2021 |
