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Quan Sun(孙泉)
Quan Sun(孙泉)
StepFun
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Title
Cited by
Cited by
Year
EVA: Exploring the limits of masked visual representation learning at scale
Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao
CVPR 2023, Highlight, 2023
7502023
EVA-CLIP: Improved training techniques for CLIP at scale
Q Sun, Y Fang, L Wu, X Wang, Y Cao
arXiv preprint arXiv:2303.15389, 2023
4792023
EVA-02: A visual representation for neon genesis
Y Fang, Q Sun, X Wang, T Huang, X Wang, Y Cao
Image and Vision Computing 149, 105171, 2023
2642023
Emu: Generative Pretraining in Multimodality
Q Sun, Q Yu, Y Cui, F Zhang, X Zhang, Y Wang, H Gao, J Liu, T Huang, ...
ICLR 2024, 2023
2492023
Emu2: Generative multimodal models are in-context learners
Q Sun, Y Cui, X Zhang, F Zhang, Q Yu, Z Luo, Y Wang, Y Rao, J Liu, ...
CVPR 2024, 2023
231*2023
Emu3: Next-token prediction is all you need
X Wang, X Zhang, Z Luo, Q Sun, Y Cui, J Wang, F Zhang, Y Wang, Z Li, ...
arXiv preprint arXiv:2409.18869, 2024
992024
The multi-agent behavior dataset: Mouse dyadic social interactions
JJ Sun, T Karigo, D Chakraborty, SP Mohanty, B Wild, Q Sun, C Chen, ...
NeurIPS 2021, 2021
562021
Capsfusion: Rethinking image-text data at scale
Q Yu, Q Sun, X Zhang, Y Cui, F Zhang, X Wang, J Liu
CVPR 2024, 2023
492023
EVA-CLIP-18B: Scaling clip to 18 billion parameters
Q Sun, J Wang, Q Yu, Y Cui, F Zhang, X Zhang, X Wang
arXiv preprint arXiv:2402.04252, 2024
332024
Diffusion feedback helps CLIP see better
W Wang, Q Sun, F Zhang, Y Tang, J Liu, X Wang
ICLR 2025, 2024
122024
Step-video-t2v technical report: The practice, challenges, and future of video foundation model
G Ma, H Huang, K Yan, L Chen, N Duan, S Yin, C Wan, R Ming, X Song, ...
arXiv preprint arXiv:2502.10248, 2025
42025
Taming Teacher Forcing for Masked Autoregressive Video Generation
D Zhou, Q Sun, Y Peng, K Yan, R Dong, D Wang, Z Ge, N Duan, X Zhang, ...
CVPR 2025, 2025
12025
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