416 citations · 2.7k across the 106 of their papers we have counts for
10 papers · 1 filter
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning
Lingbo Liu, Guanbin Li, Yuan Xie +3
Facial landmark localization plays a critical role in face recognition and analysis. In this paper, we propose a novel cascaded backbone-branches fully convolutional neural network…
Automatic Image Stylization Using Deep Fully Convolutional Networks
Feida Zhu, Yizhou Yu
Color and tone stylization strives to enhance unique themes with artistic color and tone adjustments. It has a broad range of applications from professional image postprocessing to…
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification
Weifeng Ge, Bingchen Gong, Yizhou Yu
Single image superresolution has been a popular research topic in the last two decades and has recently received a new wave of interest due to deep neural networks. In this paper,…
CaricatureShop: Personalized and Photorealistic Caricature Sketching
Xiaoguang Han, Kangcheng Hou, Dong Du +4
In this paper, we propose the first sketching system for interactively personalized and photorealistic face caricaturing. Input an image of a human face, the users can create caric…
ReCoNet: Real-time Coherent Video Style Transfer Network
Chang Gao, Derun Gu, Fangjun Zhang +1
Image style transfer models based on convolutional neural networks usually suffer from high temporal inconsistency when applied to videos. Some video style transfer models have bee…
Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks
Yujing Sun, Yizhou Yu, Wenping Wang
Digital cameras and mobile phones enable us to conveniently record precious moments. While digital image quality is constantly being improved, taking high-quality photos of digital…
Contrast-Oriented Deep Neural Networks for Salient Object Detection
Guanbin Li, Yizhou Yu
Deep convolutional neural networks have become a key element in the recent breakthrough of salient object detection. However, existing CNN-based methods are based on either patch-w…
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge, Sibei Yang, Yizhou Yu
Supervised object detection and semantic segmentation require object or even pixel level annotations. When there exist image level labels only, it is challenging for weakly supervi…
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
Yongcheng Jing, Yang Liu, Yezhou Yang +4
The Fast Style Transfer methods have been recently proposed to transfer a photograph to an artistic style in real-time. This task involves controlling the stroke size in the styliz…
Piecewise Flat Embedding for Image Segmentation
Chaowei Fang, Zicheng Liao, Yizhou Yu
We introduce a new multi-dimensional nonlinear embedding -- Piecewise Flat Embedding (PFE) -- for image segmentation. Based on the theory of sparse signal recovery, piecewise flat…