| Adaptive graph representation learning for video person re-identification Y Wu, OEF Bourahla, X Li, F Wu, Q Tian, X Zhou IEEE Transactions on Image Processing 29, 8821-8830, 2020 | 154 | 2020 |
| A review on methods and applications in multimodal deep learning S Jabeen, X Li, MS Amin, O Bourahla, S Li, A Jabbar ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 102 | 2023 |
| Banet: Bidirectional aggregation network with occlusion handling for panoptic segmentation Y Chen, G Lin, S Li, O Bourahla, Y Wu, F Wang, J Feng, M Xu, X Li Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 89 | 2020 |
| Group-wise deep co-saliency detection L Wei, S Zhao, OEF Bourahla, X Li, F Wu arXiv preprint arXiv:1707.07381, 2017 | 88 | 2017 |
| Deep group-wise fully convolutional network for co-saliency detection with graph propagation L Wei, S Zhao, OEF Bourahla, X Li, F Wu, Y Zhuang IEEE Transactions on Image Processing 28 (10), 5052-5063, 2019 | 46 | 2019 |
| Semantic Locality-Aware Deformable Network for Clothing Segmentation. W Ji, X Li, Y Zhuang, OEF Bourahla, Y Ji, S Li, J Cui IJCAI, 764-770, 2018 | 32 | 2018 |
| Deep optical flow estimation via multi-scale correspondence structure learning S Zhao, X Li, OEF Bourahla arXiv preprint arXiv:1707.07301, 2017 | 13 | 2017 |
| Fei Wu L Wei, S Zhao, OEF Bourahla, X Li Group-wise deep co-saliency detection. IJCAI, 2017 | | 2017 |
