| 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 ICCV 2023, 20144-20154, 2023 | 110* | 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, ... ICLR 2024, 2024 | 73 | 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, ... ICML 2024, 2023 | 57* | 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, ... CVPR 2024, 2024 | 39 | 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 | 37 | 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, ... ECCV 2024, 2024 | 24 | 2024 |
| 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 ICME 2023, 2023 | 22 | 2023 |
| Q-bench: 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 IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 12* | 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, ... 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2024 | 9 | 2024 |
| Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning H Liu*, E Zhang*, J Wu*, M Hong, Y Jin arXiv preprint arXiv:2408.07931, 2024 | 2 | 2024 |
| MACHINE LEARNING BREAST CANCER RISK PREDICTION USING SEQUENTIAL PAST MAMMOGRAMS-A PILOT STUDY E Zhang, YSMB BChir | | 2023 |
Haoning WuPhD candidate, Nanyang Technological UniversityBestätigte E-Mail-Adresse bei e.ntu.edu.sg
