| Exploring video quality assessment on user generated contents from aesthetic and technical perspectives H Wu*, E Zhang*, L Liao*, C Chen, J Hou, A Wang, W Sun, Q Yan, W Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 47* | 2023 |
| Q-bench: A benchmark for general-purpose foundation models on low-level vision H Wu*, Z Zhang*, E Zhang*, C Chen, L Liao, A Wang, C Li, W Sun, Q Yan, ... The Twelfth International Conference on Learning Representations (ICLR) 2024, 2024 | 28 | 2024 |
| Towards Explainable In-the-Wild Video Quality Assessment: a Database and a Language-Prompted Approach H Wu*, E Zhang*, L Liao, C Chen, J Hou, A Wang, W Sun, Q Yan, W Lin The 31st ACM International Conference on Multimedia, 2023 | 17 | 2023 |
| Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterion H Wu, L Liao, J Hou, C Chen, E Zhang, A Wang, W Sun, Q Yan, W Lin 2023 IEEE International Conference on Multimedia and Expo (ICME), 2023 | 16 | 2023 |
| Q-instruct: Improving low-level visual abilities for multi-modality foundation models H Wu*, Z Zhang*, E Zhang*, C Chen, L Liao, A Wang, K Xu, C Li, J Hou, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024 | 13 | 2024 |
| Q-align: Teaching lmms for visual scoring via discrete text-defined levels H Wu, Z Zhang, W Zhang, C Chen, L Liao, C Li, Y Gao, A Wang, E Zhang, ... arXiv preprint arXiv:2312.17090, 2023 | 10 | 2023 |
| Towards Open-ended Visual Quality Comparison H Wu, H Zhu, Z Zhang, E Zhang, C Chen, L Liao, C Li, A Wang, W Sun, ... arXiv preprint arXiv:2402.16641, 2024 | 5 | 2024 |
| A Benchmark for Multi-modal Foundation Models on Low-level Vision: from Single Images to Pairs Z Zhang, H Wu, E Zhang, G Zhai, W Lin arXiv preprint arXiv:2402.07116, 2024 | 1 | 2024 |
| Q-Boost: On Visual Quality Assessment Ability of Low-level Multi-Modality Foundation Models Z Zhang, H Wu, Z Ji, C Li, E Zhang, W Sun, X Liu, X Min, F Sun, S Jui, ... arXiv preprint arXiv:2312.15300, 2023 | 1 | 2023 |
| MACHINE LEARNING BREAST CANCER RISK PREDICTION USING SEQUENTIAL PAST MAMMOGRAMS-A PILOT STUDY E Zhang, YSMB BChir | | 2023 |
Haoning WuPhD candidate, Nanyang Technological UniversityПотвърден имейл адрес: e.ntu.edu.sg
