| Detecting camouflaged object in frequency domain Y Zhong, B Li, L Tang, S Kuang, S Wu, S Ding Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 85 | 2022 |
| Disentangled high quality salient object detection L Tang, B Li, Y Zhong, S Ding, M Song Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 77 | 2021 |
| Detecting Robust Co-Saliency with Recurrent Co-Attention Neural Network. B Li, Z Sun, L Tang, Y Sun, J Shi IJCAI 2 (2), 6, 2019 | 74 | 2019 |
| Can sam segment anything? when sam meets camouflaged object detection L Tang, H Xiao, B Li arXiv preprint arXiv:2304.04709, 2023 | 73 | 2023 |
| CLASS: cross-level attention and supervision for salient objects detection L Tang, B Li Proceedings of the Asian Conference on Computer Vision, 2020 | 23 | 2020 |
| Two-b-real net: Two-branch network for real-time salient object detection B Li, Z Sun, L Tang, A Hu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| CoSformer: Detecting co-salient object with transformers L Tang, B Li arXiv preprint arXiv:2104.14729, 2021 | 21 | 2021 |
| Re-thinking the relations in co-saliency detection L Tang, B Li, S Kuang, M Song, S Ding IEEE Transactions on Circuits and Systems for Video Technology 32 (8), 5453-5466, 2022 | 19 | 2022 |
| Highly efficient natural image matting Y Zhong, B Li, L Tang, H Tang, S Ding arXiv preprint arXiv:2110.12748, 2021 | 17 | 2021 |
| Toward stable co-saliency detection and object co-segmentation B Li, L Tang, S Kuang, M Song, S Ding IEEE Transactions on Image Processing 31, 6532-6547, 2022 | 12 | 2022 |
| Fast: Feature aggregation for detecting salient object in real-time L Tang, B Li, Y Wu, B Xiao, S Ding ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
| Rethinking two-B-real net for real-time salient object detection S Kuang, S Meng, B Xiao, L Tang, B Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| Enhanced Quantified Local Implicit Neural Representation for Image Compression G Zhang, X Zhang, L Tang IEEE Signal Processing Letters 30, 1742-1746, 2023 | 2 | 2023 |
| From Composited to Real-world: Transformer-based Natural Image Matting Y Wang, L Tang, Y Zhong, B Li IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 2 | 2023 |
| Foldingnet-based geometry compression of point cloud with multi descriptions X Ma, Q Yin, X Zhang, L Tang 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2022 | 2 | 2022 |
| Zero-Shot Co-Salient Object Detection Framework H Xiao, L Tang, B Li, Z Luo, S Li ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Generalization and Hallucination of Large Vision-Language Models through a Camouflaged Lens L Tang, PT Jiang, Z Shen, H Zhang, J Chen, B Li arXiv preprint arXiv:2311.11273, 2023 | 1 | 2023 |
| Scene Matters: Model-based Deep Video Compression L Tang, X Zhang, G Zhang, X Ma Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| High Efficiency Deep-learning Based Video Compression L Tang, X Zhang ACM Transactions on Multimedia Computing, Communications and Applications, 2024 | | 2024 |
| Towards Training-free Open-world Segmentation via Image Prompting Foundation Models L Tang, PT Jiang, HK Xiao, B Li arXiv preprint arXiv:2310.10912, 2023 | | 2023 |
