1 code implementation • 6 Jun 2023 • Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, DaCheng Tao
Massive human-related data is collected to train neural networks for computer vision tasks.
1 code implementation • ICCV 2023 • Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, DaCheng Tao, Jun Cheng
This could significantly reduce the efficiency of a large family of few-shot learning algorithms, which have limited data and highly rely on the comparison of image patches.
no code implementations • CVPR 2022 • Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng
Object-guided text-to-image synthesis aims to generate images from natural language descriptions built by two-step frameworks, i. e., the model generates the layout and then synthesizes images from the layout and captions.
1 code implementation • ICCV 2019 • Fusheng Hao, Fengxiang He, Jun Cheng, Lei Wang, Jianzhong Cao, Dacheng Tao
Empirical results demonstrate that semantic alignment is achieved.
no code implementations • 22 Apr 2018 • Fusheng Hao, Jun Cheng, Lei Wang, Xinchao Wang, Jianzhong Cao, Xiping Hu, Dapeng Tao
Discriminative features are obtained by constraining the deep CNNs to map training samples to the corresponding anchors as close as possible.