19 citations · 32 across the 4 of their papers we have counts for
6 papers
Prime-Aware Adaptive Distillation
Youcai Zhang, Zhonghao Lan, Yuchen Dai +4
Knowledge distillation(KD) aims to improve the performance of a student network by mimicing the knowledge from a powerful teacher network. Existing methods focus on studying what k…
Data Uncertainty Learning in Face Recognition
Jie Chang, Zhonghao Lan, Changmao Cheng +1
Modeling data uncertainty is important for noisy images, but seldom explored for face recognition. The pioneer work, PFE, considers uncertainty by modeling each face image embeddin…
Handwritten Chinese Font Generation with Collaborative Stroke Refinement
Chuan Wen, Jie Chang, Ya Zhang +4
Automatic character generation is an appealing solution for new typeface design, especially for Chinese typefaces including over 3700 most commonly-used characters. This task has t…
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages
Yujun Gu, Jie Chang, Ya Zhang +1
Understanding human visual attention is important for multimedia applications. Many studies have attempted to learn from eye-tracking data and build computational saliency predicti…
Chinese Typeface Transformation with Hierarchical Adversarial Network
Jie Chang, Yujun Gu, Ya Zhang
In this paper, we explore automated typeface generation through image style transfer which has shown great promise in natural image generation. Existing style transfer methods for…
Chinese Typography Transfer
Jie Chang, Yujun Gu
In this paper, we propose a new network architecture for Chinese typography transformation based on deep learning. The architecture consists of two sub-networks: (1)a fully convolu…