no code implementations • 11 Jun 2020 • Chih-Yang Chen, Che-Han Chang
In this paper, we propose an efficient gradient-based search algorithm, called Hypernetwork-Based Augmentation (HBA), which simultaneously learns model parameters and augmentation hyperparameters in a single training.
3 code implementations • ICCV 2019 • Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-wei Liao
Our method is capable of modifying images by changing particular attributes of interest in a continuous manner while preserving the other attributes.
no code implementations • 29 May 2019 • Che-Han Chang, Chun-Hsien Yu, Szu-Ying Chen, Edward Y. Chang
Can generative adversarial networks (GANs) generate roses of various colors given only roses of red petals as input?
no code implementations • CVPR 2017 • Che-Han Chang, Chun-Nan Chou, Edward Y. Chang
The main component of this architecture is a Lucas-Kanade layer that performs the inverse compositional algorithm on convolutional feature maps.
no code implementations • CVPR 2014 • Che-Han Chang, Yoichi Sato, Yung-Yu Chuang
It provides good alignment accuracy as projective warps while preserving the perspective of individual image as similarity warps.