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Erli Zhang
Erli Zhang
Sonstige Namen张 尔立
Undergraduate student of Computer Science, Nanyang Technological University
Bestätigte E-Mail-Adresse bei E.NTU.EDU.SG - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
82*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
572024
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
302023
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
292024
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
292023
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
202023
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
162024
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
72023
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
42024
MACHINE LEARNING BREAST CANCER RISK PREDICTION USING SEQUENTIAL PAST MAMMOGRAMS-A PILOT STUDY
E Zhang, YSMB BChir
2023
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