120 citations · 907 across the 57 of their papers we have counts for
6 papers · 1 filter
Style Mixer: Semantic-aware Multi-Style Transfer Network
Zixuan Huang, Jinghuai Zhang, Jing Liao
Recent neural style transfer frameworks have obtained astonishing visual quality and flexibility in Single-style Transfer (SST), but little attention has been paid to Multi-style T…
Semantic Example Guided Image-to-Image Translation
Jialu Huang, Jing Liao, Tak Wu Sam Kwong
Many image-to-image (I2I) translation problems are in nature of high diversity that a single input may have various counterparts. Prior works proposed the multi-modal network that…
Document Rectification and Illumination Correction using a Patch-based CNN
Xiaoyu Li, Bo Zhang, Jing Liao +1
We propose a novel learning method to rectify document images with various distortion types from a single input image. As opposed to previous learning-based methods, our approach s…
Blind Geometric Distortion Correction on Images Through Deep Learning
Xiaoyu Li, Bo Zhang, Pedro V. Sander +1
We propose the first general framework to automatically correct different types of geometric distortion in a single input image. Our proposed method employs convolutional neural ne…
Deep Exemplar-based Video Colorization
Bo Zhang, Mingming He, Jing Liao +4
This paper presents the first end-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the refere…
Transductive Zero-Shot Learning with Visual Structure Constraint
Ziyu Wan, Dongdong Chen, Yan Li +4
To recognize objects of the unseen classes, most existing Zero-Shot Learning(ZSL) methods first learn a compatible projection function between the common semantic space and the vis…