| 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 | 84 | 2022 |
| Federated learning with label distribution skew via logits calibration J Zhang, Z Li, B Li, J Xu, S Wu, S Ding, C Wu International Conference on Machine Learning, 26311-26329, 2022 | 77 | 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 | 72 | 2023 |
| Dense: Data-free one-shot federated learning J Zhang, C Chen, B Li, L Lyu, S Wu, S Ding, C Shen, C Wu Advances in Neural Information Processing Systems 35, 21414-21428, 2022 | 71* | 2022 |
| Group-wise deep object co-segmentation with co-attention recurrent neural network B Li, Z Sun, Q Li, Y Wu, A Hu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 69 | 2019 |
| Towards practical certifiable patch defense with vision transformer Z Chen, B Li, J Xu, S Wu, S Ding, W Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 65 | 2022 |
| Supervae: Superpixelwise variational autoencoder for salient object detection B Li, Z Sun, Y Guo Proceedings of the AAAI Conference on Artificial Intelligence (Oral) 33 (01 …, 2019 | 50 | 2019 |
| Towards efficient data free black-box adversarial attack J Zhang, B Li, J Xu, S Wu, S Ding, L Zhang, C Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 49 | 2022 |
| Shape matters: deformable patch attack Z Chen, B Li, S Wu, J Xu, S Ding, W Zhang European conference on computer vision, 529-548, 2022 | 48 | 2022 |
| Content-based unrestricted adversarial attack Z Chen, B Li, S Wu, K Jiang, S Ding, W Zhang Advances in Neural Information Processing Systems 36, 2024 | 24 | 2024 |
| Stable adversarial learning under distributional shifts J Liu, Z Shen, P Cui, L Zhou, K Kuang, B Li, Y Lin Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8662-8670, 2021 | 24 | 2021 |
| 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 |
| Query-efficient decision-based black-box patch attack Z Chen, B Li, S Wu, S Ding, W Zhang IEEE Transactions on Information Forensics and Security, 2023 | 20 | 2023 |
| Rethinking the learning paradigm for dynamic facial expression recognition H Wang, B Li, S Wu, S Shen, F Liu, S Ding, A Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| 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 |
| Co-saliency detection based on hierarchical consistency B Li, Z Sun, Q Wang, Q Li Proceedings of the 27th ACM International Conference on Multimedia, 1392-1400, 2019 | 19 | 2019 |
Lv TangUniversity of Chinese Academy of SciencesVerified email at mails.ucas.ac.cn
