Chen, Fei

10 publications

CVPR 2024 Accelerating Diffusion Sampling with Optimized Time Steps Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shifeng Zhang, Tianyang Hu, Enze Xie, Zhenguo Li

CVPR 2024 MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Fei Chen, Steven McDonagh, Gerasimos Lampouras, Ignacio Iacobacci, Sarah Parisot

NeurIPS 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

AAAI 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

NeurIPS 2021 No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng

WACV 2020 Learn a Global Appearance Semi-Supervisedly for Synthesizing Person Images Zhipeng Ge, Fei Chen, Yu Zhou, Yao Yu, Sidan Du

IJCAI 2020 SEBF: A Single-Chain Based Extension Model of Blockchain for Fintech Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu

NeurIPS 2016 Automated Scalable Segmentation of Neurons from Multispectral Images Uygar Sümbül, Douglas Roossien, Dawen Cai, Fei Chen, Nicholas Barry, John P. Cunningham, Edward Boyden, Liam Paninski

ICCV 2015 External Patch Prior Guided Internal Clustering for Image Denoising Fei Chen, Lei Zhang, Huimin Yu

CVPR 2013 Deep Learning Shape Priors for Object Segmentation Fei Chen, Huimin Yu, Roland Hu, Xunxun Zeng