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2020 – today
- 2024
[c6]Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu:
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. CVPR 2024: 9370-9379- [c5]Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo:
Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization. ICASSP 2024: 3475-3479 - [i7]Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu:
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. CoRR abs/2404.05384 (2024) - 2023
- [c4]Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li
, Yu Liu:
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. ICCV 2023: 3758-3767 - [c3]Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu:
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis. MICCAI (10) 2023: 592-601 - [c2]Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo:
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths. NeurIPS 2023 - [i6]Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu:
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. CoRR abs/2304.00967 (2023) - [i5]Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong, Yu Liu, Ping Luo:
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths. CoRR abs/2305.18295 (2023) - [i4]Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo:
Align, Adapt and Inject: Sound-guided Unified Image Generation. CoRR abs/2306.11504 (2023) - [i3]Lingting Zhu, Zeyue Xue, Zhenchao Jin, Xian Liu, Jingzhen He, Ziwei Liu, Lequan Yu:
Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis. CoRR abs/2307.10094 (2023) - 2022
- [c1]Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo:
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. NeurIPS 2022 - [i2]Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo:
Large-batch Optimization for Dense Visual Predictions. CoRR abs/2210.11078 (2022) - 2021
- [j1]Zeyue Xue, Pan Zhou, Zichuan Xu, Xiumin Wang, Yulai Xie, Xiaofeng Ding, Shiping Wen:
A Resource-Constrained and Privacy-Preserving Edge-Computing-Enabled Clinical Decision System: A Federated Reinforcement Learning Approach. IEEE Internet Things J. 8(11): 9122-9138 (2021) - 2020
- [i1]Zeyue Xue, Shuang Luo, Chao Wu, Pan Zhou, Kaigui Bian, Wei Du:
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach. CoRR abs/2002.02202 (2020)
Coauthor Index
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last updated on 2024-10-04 21:05 CEST by the dblp team
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