| 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 | 1214 | 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 | 857 | 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 | 338 | 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 | 128 | 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 | 77 | 2019 |
| Semmae: Semantic-guided masking for learning masked autoencoders G Li, H Zheng, D Liu, C Wang, B Su, C Zheng NeurIPS 2022, 2022 | 20 | 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 | 15 | 2021 |
| 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 | 8 | 2020 |
| 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 | 6 | 2022 |
| 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 | 6 | 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 | 4 | 2022 |
| 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 | 2 | 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 | 2 | 2022 |
| Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator J Zhao, H Zheng, C Wang, L Lan, W Huang, W Yang arXiv preprint arXiv:2305.06710, 2023 | | 2023 |
| MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models J Zhao, H Zheng, C Wang, L Lan, W Yang arXiv preprint arXiv:2303.13126, 2023 | | 2023 |
| 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 |
| Domain Re-Modulation for Few-Shot Generative Domain Adaptation Y Wu, Z Li, C Wang, H Zheng, S Zhao, B Li, D Ta arXiv preprint arXiv:2302.02550, 2023 | | 2023 |
| Tackling the Retrieval Trilemma with Cross-Modal Indexing H Zhang, D Liu, H Zheng, C Wang, B Su | | |
Jianlong FuMicrosoft ResearchVerified email at microsoft.com
