| Look closer to see better: Recurrent attention convolutional neural network for fine-grained image recognition J Fu, H Zheng, T Mei Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1555 | 2017 |
| Learning multi-attention convolutional neural network for fine-grained image recognition H Zheng, J Fu, T Mei, J Luo Proceedings of the IEEE international conference on computer vision, 5209-5217, 2017 | 1101 | 2017 |
| Looking for the devil in the details: Learning trilinear attention sampling network for fine-grained image recognition H Zheng, J Fu, ZJ Zha, J Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 500 | 2019 |
| Learning deep bilinear transformation for fine-grained image representation H Zheng, J Fu, ZJ Zha, J Luo Advances in Neural Information Processing Systems 32, 2019 | 204 | 2019 |
| Learning rich part hierarchies with progressive attention networks for fine-grained image recognition H Zheng, J Fu, ZJ Zha, J Luo, T Mei IEEE Transactions on Image Processing 29, 476-488, 2019 | 122 | 2019 |
| Token contrast for weakly-supervised semantic segmentation L Ru, H Zheng, Y Zhan, B Du Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 107 | 2023 |
| Semmae: Semantic-guided masking for learning masked autoencoders G Li, H Zheng, D Liu, C Wang, B Su, C Zheng NeurIPS 2022, 2022 | 106 | 2022 |
| Learning conditional knowledge distillation for degraded-reference image quality assessment H Zheng, H Yang, J Fu, ZJ Zha, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 44 | 2021 |
| 3ddesigner: Towards photorealistic 3d object generation and editing with text-guided diffusion models G Li, H Zheng, C Wang, C Li, C Zheng, D Tao arXiv preprint arXiv:2211.14108, 2022 | 39 | 2022 |
| FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs Z Li, C Wang, H Zheng, J Zhang, B Li ECCV 2022, 2022 | 31 | 2022 |
| Unified discrete diffusion for simultaneous vision-language generation M Hu, C Zheng, H Zheng, TJ Cham, C Wang, Z Yang, D Tao, ... arXiv preprint arXiv:2211.14842, 2022 | 24 | 2022 |
| Domain re-modulation for few-shot generative domain adaptation Y Wu, Z Li, C Wang, H Zheng, S Zhao, B Li, D Tao Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Learning semantic-aware normalization for generative adversarial networks H Zheng, J Fu, Y Zeng, J Luo, ZJ Zha Advances in Neural Information Processing Systems 33, 21853-21864, 2020 | 12 | 2020 |
| Magicfusion: Boosting text-to-image generation performance by fusing diffusion models J Zhao, H Zheng, C Wang, L Lan, W Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Null-text guidance in diffusion models is secretly a cartoon-style creator J Zhao, H Zheng, C Wang, L Lan, W Huang, W Yang Proceedings of the 31st ACM International Conference on Multimedia, 5143-5152, 2023 | 5 | 2023 |
| Leveraging GAN Priors for Few-Shot Part Segmentation M Han, H Zheng, C Wang, Y Luo, H Hu, B Du ACM MM 2022, 2022 | 4 | 2022 |
| PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning M Han, H Zheng, C Wang, Y Luo, H Hu, J Zhang, Y Wen arXiv preprint arXiv:2308.12757, 2023 | 3 | 2023 |
| DreamBooth++: Boosting Subject-Driven Generation via Region-Level References Packing Z Fan, Z Yin, G Li, Y Zhan, H Zheng Proceedings of the 32nd ACM International Conference on Multimedia, 11013-11021, 2024 | | 2024 |
| Reference-based GAN Evaluation by Adaptive Inversion J Wang, H Zheng, T Yamasaki Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System C Xue, W Liu, S Xie, Z Wang, J Li, X Peng, L Ding, S Zhao, Q Cao, Y Yang, ... arXiv preprint arXiv:2303.00501, 2023 | | 2023 |
Jianlong FuMicrosoft ResearchVerified email at microsoft.com
