| Implicit diffusion models for continuous super-resolution S Gao, X Liu, B Zeng, S Xu, Y Li, X Luo, J Liu, X Zhen, B Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 236 | 2023 |
| Nas-count: Counting-by-density with neural architecture search Y Hu, X Jiang, X Liu, B Zhang, J Han, X Cao, D Doermann Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 119 | 2020 |
| Face animation with an attribute-guided diffusion model B Zeng, X Liu, S Gao, B Liu, H Li, J Liu, B Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Controllable mind visual diffusion model B Zeng, S Li, X Liu, S Gao, X Jiang, X Tang, Y Hu, J Liu, B Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 6935-6943, 2024 | 24 | 2024 |
| Zone: Zero-shot instruction-guided local editing S Li, B Zeng, Y Feng, S Gao, X Liu, J Liu, L Li, X Tang, Y Hu, J Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 24 | 2024 |
| FNeVR: Neural volume rendering for face animation B Zeng, B Liu, H Li, X Liu, J Liu, D Chen, W Peng, B Zhang Advances in Neural Information Processing Systems 35, 22451-22462, 2022 | 24 | 2022 |
| Alignment Enhancement Network for Fine-grained<? brk?> Visual Categorization Y Hu, X Liu, B Zhang, J Han, X Cao ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 16 | 2021 |
| Hierarchical self-distilled feature learning for fine-grained visual categorization Y Hu, X Jiang, X Liu, X Luo, Y Hu, X Cao, B Zhang, J Zhang IEEE Transactions on Neural Networks and Learning Systems, 2021 | 13 | 2021 |
| Q-YOLO: Efficient inference for real-time object detection M Wang, H Sun, J Shi, X Liu, X Cao, L Zhang, B Zhang Asian Conference on Pattern Recognition, 307-321, 2023 | 12 | 2023 |
| UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation H Li, Y Feng, S Xue, X Liu, B Zeng, S Li, B Liu, J Liu, S Han, B Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Weakly supervised object detection based on active learning X Wang, X Xiang, B Zhang, X Liu, J Zheng, QL Hu Neural Processing Letters 54 (6), 5169-5183, 2022 | 7 | 2022 |
| LaDiffGAN: Training GANs with Diffusion Supervision in Latent Spaces X Liu, B Zeng, S Gao, S Li, Y Feng, H Li, B Liu, J Liu, B Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Attentive Encoder-Decoder Networks for Crowd Counting X Liu, Y Hu, B Zhang, X Zhen, X Luo, X Cao Neurocomputing, 2021 | 5 | 2021 |
| MagFormer: Hybrid Video Motion Magnification Transformer from Eulerian and Lagrangian Perspectives. S Gao, Y Feng, L Yang, X Liu, Z Zhu, DS Doermann, B Zhang BMVC, 444, 2022 | 2 | 2022 |
| Hybrid Spatio-Temporal Network for Face Forgery Detection X Liu, S Gao, P Zhou, J Liu, X Luo, L Zhang, B Zhang Asian Conference on Pattern Recognition, 250-264, 2023 | 1 | 2023 |
