| Learning texture transformer network for image super-resolution F Yang, H Yang, J Fu, H Lu, B Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 537 | 2020 |
| Unsupervised extraction of video highlights via robust recurrent auto-encoders H Yang, B Wang, S Lin, D Wipf, M Guo, B Guo Proceedings of the IEEE international conference on computer vision, 4633-4641, 2015 | 178 | 2015 |
| Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 143 | 2020 |
| Ntire 2020 challenge on perceptual extreme super-resolution: Methods and results K Zhang, S Gu, R Timofte Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 46 | 2020 |
| Domain-aware universal style transfer K Hong, S Jeon, H Yang, J Fu, H Byun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 39 | 2021 |
| Advancing high-resolution video-language representation with large-scale video transcriptions H Xue, T Hang, Y Zeng, Y Sun, B Liu, H Yang, J Fu, B Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| Learning trajectory-aware transformer for video super-resolution C Liu, H Yang, J Fu, X Qian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
| Personalized exposure control using adaptive metering and reinforcement learning H Yang, B Wang, N Vesdapunt, M Guo, SB Kang IEEE transactions on visualization and computer graphics 25 (10), 2953-2968, 2018 | 18 | 2018 |
| Improving visual quality of image synthesis by a token-based generator with transformers Y Zeng, H Yang, H Chao, J Wang, J Fu Advances in Neural Information Processing Systems 34, 21125-21137, 2021 | 17 | 2021 |
| 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 spatiotemporal frequency-transformer for compressed video super-resolution Z Qiu, H Yang, J Fu, D Fu Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 8 | 2022 |
| Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning Y Sun, H Xue, R Song, B Liu, H Yang, J Fu arXiv preprint arXiv:2210.06031, 2022 | 8 | 2022 |
| Unified multi-modal latent diffusion for joint subject and text conditional image generation Y Ma, H Yang, W Wang, J Fu, J Liu arXiv preprint arXiv:2303.09319, 2023 | 7 | 2023 |
| Reading behaviour based user interests model and its application in recommender system H Li, Y Shen, C Wang, H Yang, R Ali 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation …, 2017 | 6 | 2017 |
| Mm-diffusion: Learning multi-modal diffusion models for joint audio and video generation L Ruan, Y Ma, H Yang, H He, B Liu, J Fu, NJ Yuan, Q Jin, B Guo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation C Liu, H Yang, J Fu, X Qian arXiv preprint arXiv:2207.09048, 2022 | 5 | 2022 |
| 4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement C Liu, H Yang, J Fu, X Qian arXiv preprint arXiv:2209.01749, 2022 | 4 | 2022 |
| Degradation-Guided Meta-Restoration Network for Blind Super-Resolution F Yang, H Yang, Y Zeng, J Fu, H Lu arXiv preprint arXiv:2207.00943, 2022 | 4 | 2022 |
| Learning fine-grained motion embedding for landscape animation H Xue, B Liu, H Yang, J Fu, H Li, J Luo Proceedings of the 29th ACM International Conference on Multimedia, 291-299, 2021 | 4 | 2021 |
| AI Illustrator: Translating Raw Descriptions into Images by Prompt-based Cross-Modal Generation Y Ma, H Yang, B Liu, J Fu, J Liu Proceedings of the 30th ACM International Conference on Multimedia, 4282-4290, 2022 | 3 | 2022 |
Jianlong FuMicrosoft ResearchVerified email at microsoft.com
