activity
20192021
most citedDetecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization

4 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Robust Ellipsoid-specific Fitting via Expectation Maximization

Zhao Mingyang, Jia Xiaohong, Ma Lei +3

Ellipsoid fitting is of general interest in machine vision, such as object detection and shape approximation. Most existing approaches rely on the least-squares fitting of quadrics…

cs.CV2021

Text-Aware Single Image Specular Highlight Removal

Shiyu Hou, Chaoqun Wang, Weize Quan +2

Removing undesirable specular highlight from a single input image is of crucial importance to many computer vision and graphics tasks. Existing methods typically remove specular hi…

cs.CV2020

Scene text removal via cascaded text stroke detection and erasing

Xuewei Bian, Chaoqun Wang, Weize Quan +3

Recent learning-based approaches show promising performance improvement for scene text removal task. However, these methods usually leave some remnants of text and obtain visually…

cs.CV2020

Pixel-wise Dense Detector for Image Inpainting

Ruisong Zhang, Weize Quan, Baoyuan Wu +2

Recent GAN-based image inpainting approaches adopt an average strategy to discriminate the generated image and output a scalar, which inevitably lose the position information of vi…

cs.GR2020

MGCN: Descriptor Learning using Multiscale GCNs

Yiqun Wang, Jing Ren, Dong-Ming Yan +3

We propose a novel framework for computing descriptors for characterizing points on three-dimensional surfaces. First, we present a new non-learned feature that uses graph wavelets…

cs.CV20194 cited

Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization

Weize Quan, Dong-Ming Yan, Kai Wang +2

Image colorization achieves more and more realistic results with the increasing computation power of recent deep learning techniques. It becomes more difficult to identify the fake…