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Yuan LIU 柳源
Yuan LIU 柳源
WeChat AI
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Titel
Zitiert von
Zitiert von
Jahr
MMSegmentation: Openmmlab semantic segmentation toolbox and benchmark
MMS Contributors
9192020
Mmbench: Is your multi-modal model an all-around player?
Y Liu, H Duan, Y Zhang, B Li, S Zhang, W Zhao, Y Yuan, J Wang, C He, ...
European conference on computer vision, 216-233, 2024
7262024
Opencompass: A universal evaluation platform for foundation models
OC Contributors
GitHub repository, 2023
1992023
Contrast and order representations for video self-supervised learning
K Hu, J Shao, Y Liu, B Raj, M Savvides, Z Shen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
732021
Openmmlab’s pre-training toolbox and benchmark
M Contributors
582023
MMSelfSup: Openmmlab self-supervised learning toolbox and benchmark
M Contributors
MMSelfSup: Openmmlab self-supervised learning toolbox and benchmark, 2021
402021
VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models
H Duan, J Yang, Y Qiao, X Fang, L Chen, Y Liu, X Dong, Y Zang, P Zhang, ...
ACMMM 2024, 2024
392024
Improving pixel-based mim by reducing wasted modeling capability
Y Liu, S Zhang, J Chen, Z Yu, K Chen, D Lin
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
282023
Pixmim: Rethinking pixel reconstruction in masked image modeling
Y Liu, S Zhang, J Chen, K Chen, D Lin
TMLR2024, 2023
252023
Points: Improving your vision-language model with affordable strategies
Y Liu, Z Zhao, Z Zhuang, L Tian, X Zhou, J Zhou
arXiv preprint arXiv:2409.04828, 2024
72024
POINTS1. 5: Building a Vision-Language Model towards Real World Applications
Y Liu, L Tian, X Zhou, X Gao, K Yu, Y Yu, J Zhou
arXiv preprint arXiv:2412.08443, 2024
32024
MEGA-Bench: Scaling multimodal evaluation to over 500 real-world tasks
J Chen, T Liang, S Siu, Z Wang, K Wang, Y Wang, Y Ni, W Zhu, Z Jiang, ...
ICLR2025, 2024
32024
Rethinking Overlooked Aspects in Vision-Language Models
Y Liu, L Tian, X Zhou, J Zhou
arXiv preprint arXiv:2405.11850, 2024
32024
MoQuad: motion-focused quadruple construction for video contrastive learning
Y Liu, J Chen, H Wu
European Conference on Computer Vision, 20-38, 2022
32022
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