| Quality assessment of in-the-wild videos D Li, T Jiang, M Jiang ACM International Conference on Multimedia, 2351-2359, 2019 | 255 | 2019 |
| Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal? D Li, T Jiang, W Lin, M Jiang IEEE Transactions on Multimedia 21 (5), 1221-1234, 2019 | 120 | 2019 |
| Unified quality assessment of in-the-wild videos with mixed datasets training D Li, T Jiang, M Jiang International Journal of Computer Vision 129 (4), 1238-1257, 2021 | 111 | 2021 |
| Continual learning for blind image quality assessment W Zhang, D Li, C Ma, G Zhai, X Yang, K Ma IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2864 …, 2023 | 74 | 2023 |
| Norm-in-norm loss with faster convergence and better performance for image quality assessment D Li, T Jiang, M Jiang ACM International Conference on Multimedia, 789-797, 2020 | 65 | 2020 |
| Exploiting high-level semantics for no-reference image quality assessment of realistic blur images D Li, T Jiang, M Jiang ACM International Conference on Multimedia, 378-386, 2017 | 43 | 2017 |
| Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop W Zhang, D Li, X Min, G Zhai, G Guo, X Yang, K Ma Advances in Neural Information Processing Systems, 2022 | 17 | 2022 |
| Recent Advances and Challenges in Video Quality Assessment D Li, T Jiang, M Jiang ZTE Communications 17 (1), 3-11, 2019 | 14 | 2019 |
| Quality assessment for tone-mapped HDR images using multi-scale and multi-layer information Q He, D Li, T Jiang, M Jiang IEEE International Conference on Multimedia & Expo Workshops, 1-6, 2018 | 13 | 2018 |
| Semi-supervised deep ensembles for blind image quality assessment Z Wang, D Li, K Ma International Joint Conference on Artificial Intelligence Workshop on Weakly …, 2021 | 9 | 2021 |
| Deep Geometry Post-Processing for Decompressed Point Clouds X Fan, G Li, D Li, Y Ren, W Gao, TH Li IEEE International Conference on Multimedia and Expo, 1-6, 2022 | 7 | 2022 |
| Blur-Specific No-Reference Image Quality Assessment: A Classification and Review of Representative Methods D Li, T Jiang The Proceedings of the International Conference on Sensing and Imaging, 45-68, 2019 | 7 | 2019 |
| Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches P Cao, D Li, K Ma The Conference on Parsimony and Learning, Proceedings of Machine Learning …, 2024 | 3 | 2024 |
| No-reference Image Quality Assessment via Non-local Dependency Modeling S Jia, B Chen, D Li, S Wang IEEE International Workshop on Multimedia Signal Processing, 2022 | 3 | 2022 |
| Hierarchical Prior-based Super Resolution for Point Cloud Geometry Compression D Li, K Ma, J Wang, G Li IEEE Transactions on Image Processing, 2024 | 1 | 2024 |
| Personalized Image Generation for Color Vision Deficiency Population S Jiang, D Liu, D Li, C Xu IEEE/CVF International Conference on Computer Vision, 22571-22580, 2023 | 1 | 2023 |
| Near-lossless Point Cloud Geometry Compression Based on Adaptive Residual Compensation D Li, J Wang, G Li IEEE International Conference on Visual Communications and Image Processing, 1-5, 2022 | 1 | 2022 |
| Reproducibility Companion Paper: Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment D Li, T Jiang, M Jiang, VL Thambawita, H Wang ACM International Conference on Multimedia, 3615-3618, 2021 | 1 | 2021 |
| Comparison of No-Reference Image Quality Models via MAP Estimation in Diffusion Latents W Zhang, D Li, G Zhai, X Yang, K Ma arXiv preprint arXiv:2403.06406, 2024 | | 2024 |
| Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method C Yang, Y Liu, D Li, T Jiang arXiv preprint arXiv:2401.05217, 2024 | | 2024 |
Tingting JiangAssociate Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
